Wageningen, Sep. 2026

Articles in peer-reviewed journals

2025-2030

1. Z. Zhao, W. Daniel Kissling, G. M. Hengeveld, I. N. Athanasiadis, K. Soetaert, A. F. Hof, M. E. Visser, Cooperative Research Activities in a Cloud-Based Virtual Research Environment: From Notebooks to Workflows, Digital Twins, and AI Agents, 2026, IEEE
2. J. Zhang, B. Liu, I. N. Athanasiadis, L. Liu, Y. Zhu, W. Cao, L. Xiao, L. Tang, The role of observations in calibrating crop models: A multi-model analysis of rice phenology, Journal of Integrative Agriculture, 2026, Elsevier BV
3. J. Zhang, W. Tang, H. Ma, W. Yan, I. N. Athanasiadis, S. Zhang, L. Liu, B. Liu, L. Xiao, Y. Zhu, W. Cao, Y. Zhang, L. Tang, Genomic prediction vs. gene-based crop models: a case study on rice trait prediction, Theoretical and Applied Genetics, 139:242, 2026, Springer Science and Business Media LLC
4. J. Zhang, M. Huang, I. N. Athanasiadis, L. Liu, B. Liu, L. Xiao, Y. Zhu, W. Cao, L. Tang, Climate-smart optimization of sowing dates for double-cropping rice by combining crop model and machine learning, Agricultural Systems, 239:104942, 2026, Elsevier BV
5. M. E. Visser, G. M. Hengeveld, J. de Kraker, I. N. Athanasiadis, E. S. Bakker, W. Daniel Kissling, S. Nmor, C. J. M. Philippart, K. Soetaert, S. J. G. Vriend, A. Woutersen, Z. Zhao, Q. Zhan, A. F. Hof, Digital twins as a tool for ecosystem research, 2026, Elsevier
6. M. E. Visser, G. M. Hengeveld, J. de Kraker, I. N. Athanasiadis, E. S. Bakker, W. Daniel Kissling, S. Nmor, C. J. M. Philippart, K. Soetaert, S. J. G. Vriend, A. Woutersen, Z. Zhao, Q. Zhan, A. F. Hof, Digital twins as a tool for ecosystem research, 2026, Elsevier
7. P. Rashidi, B. Marcos, S. J. G. Vriend, N. Soveizi, A. de Bruin, R. de Bruin, M. E. Visser, G. Hengeveld, I. N. Athanasiadis, C. H. J. Hof, S. J. Holthuijsen, Z. Lu, J. Spijker, T. L. van der Plas, Z. Zhao, W. D. Kissling, A FAIR-compliant metadata template for ecosystem digital twins, Ecological Informatics, 98:103983, 2026, Elsevier BV
8. A. Potze, F. van Eeuwijk, I. N. Athanasiadis, Structured multimodal deep learning improves genomic prediction in future environments, Genetics, 2026
9. M. Kallenberg, D. Paudel, S. Ofori-Ampofo, H. Baja, R. van Bree, A. Potze, P. Poudel, A. Saleh, W. Anderson, M. von Bloh, A. Castellano, O. Ennaji, R. Hamed, R. Laudien, D. Lee, I. Luna, D. Masiliūnas, M. Meroni, J. M. Mutuku, S. Mkuhlani, J. Richetti, A. C. Ruane, R. Sahajpal, G. Shuai, V. Sitokonstantinou, R. de S. Nóia-Júnior, A. K. Srivastava, R. Strong, L.-b. Sweet, P. Vojnović, A. de Wit, M. Zachow, and I. N. Athanasiadis, CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting, Earth System Science Data, 18:3997–4018, 202, 2026
10. Y. Shao, F. van Eeuwijk, C.F.W. Peeters, O. Zumsteg, I. N. Athanasiadis, G. van Voorn, Physics-Informed Neural Network methods for predicting plant height development, Computers and Electronics in Agriculture, 251:111988, 2026, Elsevier
11. X. Xiong, R. Zhong, H. Jiang, I. Athanasiadis, Y. Yang, L. Zhu, T. Lin, Corn yield estimation under extreme climate stress with knowledge-encoded deep learning, ISPRS Journal of Photogrammetry and Remote Sensing, 231:101-118, 2026, Elsevier
12. F. Eigenbrod, P. Alexander, N. Apfel, I. N. Athanasiadis, T. Berger, J. M. Bullock, G. Duveiller, J. Equihua, I. Menezes, R. Moreira, D. Paudel, V. Sitokonstantinou, M. Reichstein, S. Willcock, T. Woodman, Causal machine learning methods for understanding land use and land cover change, Landscape Ecology, 41:25, 2026, Springer Science and Business Media LLC

2020-2025

13. M. Kallenberg, H. Baja, M. Ilić, A. Tomčić, M. Tošić, I. Athanasiadis, Interoperable agricultural digital twins with reinforcement learning intelligence, Smart Agricultural Technology, 12:101412, 2025, Elsevier BV
14. R. d. S. Nóia-Júnior, A. C. Ruane, I. N. Athanasiadis, F. Ewert, M. T. Harrison, J. Jägermeyr, P. Martre, C. Müller, T. Palosuo, M. Salmerón, H. Webber, D. S. Maccarthy, S. Asseng, Crop models for future food systems, One Earth, 8:101487, 2025, Elsevier BV
15. H. Baja, M. G. J. Kallenberg, H. N. C. Berghuijs, I. N. Athanasiadis, Adaptive fertilizer management for optimizing nitrogen use efficiency with constrained reinforcement learning, Computers and Electronics in Agriculture, 237:110554, 2025, Elsevier BV
16. E. van Tegelen, G. van Voorn, I. N. Athanasiadis, P. van Heijster, Neural ordinary differential equations for learning and extrapolating system dynamics across bifurcations, Chaos, 35:101103, 2025, AIP Publishing
17. M. Marković, P. Lugonja, S. Brdar, I. Athanasiadis, M. Radulović, B. Pejak, M. Mesaroš, V. Crnojević, Double cropping detection in the moderate continental climate region of Serbia using machine learning and Sentinel-2 data, European Journal of Remote Sensing, 58:2533462, 2025, Taylor & Francis
18. R. Knapen, A. de Wit, E. Buyukkaya, P. Petrou, D. Paudel, S. Janssen, I. Athanasiadis, Efficient and scalable crop growth simulations using standard big data and distributed computing technologies, Computers and Electronics in Agriculture, 236:110392, 2025, Elsevier BV
19. D. Marcos, R. van de Vlasakker, I. N. Athanasiadis, P. Bonnet, H. Goeau, A. Joly, W. D. Kissling, C. Leblanc, A. S. J. van Proosdij, K. P. Panousis, Fully automatic extraction of morphological traits from the Web: utopia or reality?, Applications in Plant Sciences, 5:1-12, 2025
20. L.-B. Sweet, I. N. Athanasiadis, R. van Bree, A. Castellano, P. Martre, D. Paudel, A. C. Ruane, J. Zscheischler, Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning, One Earth, 8:101233, 2025, Elsevier BV
21. J. Han, L. Shi, Q. Yang, J. Yu, I. N. Athanasiadis, Knowledge-guided machine learning with multivariate sparse data for crop growth modelling, Field Crops Research, 328:109912, 2025, Elsevier BV
22. I. Tsoumas, V. Sitokonstantinou, G. Giannarakis, E. Lampiri, C. Athanassiou, G. Camps-Valls, C. Kontoes, I. Athanasiadis, Leveraging causality and explainability in digital agriculture, Environmental Data Science, 4:e23, 2025, Cambridge University Press
23. K. J. Bagstad, S. Balbi, G. Adamo, I. N. Athanasiadis, F. Affinito, S. Willcock, A. Magrach, K. Hayashi, Z. V. Harmáčková, A. Niamir, B. Smets, M. Buchhorn, E. G. Drakou, A. Alfieri, B. Edens, L. G. Morales, Á. Vári, M.-J. Sanz, F. Villa, Interoperability for ecosystem service assessments: Why, how, who, and for whom?, Ecosystem services, 72:101705, 2025, Elsevier BV
24. M. Radulović, M. Markovic, S. Brdar, I. Athanasiadis, G. Mimić, The first geospatial dataset of irrigated fields (2020–2024) in Vojvodina (Serbia), Scientific data, 12:105, 2025
25. R. van Bree, D. Marcos, I. Athanasiadis, Hybrid phenology modeling for predicting temperature effects on tree dormancy, Proceedings of the AAAI Conference on Artificial Intelligence, 37:28458-28466, 2025
26. H. Baja, M. Kallenberg, I. N. Athanasiadis, To measure or not: A cost-sensitive, selective measuring environment for agricultural management decisions with reinforcement learning, Proceedings of the AAAI Conference on Artificial Intelligence, 39:27831-27840, 2025
27. J. P. L. F. Brêda, L. A. Melsen, I. Athanasiadis, Al. Van Dijk, V. A. Siqueira, A. Verhoef, Y. Zeng, M. van der Ploeg, Predictor importance for hydrological fluxes of global hydrological and land surface models, Water Resources Research, 60 (9):e2023WR036418, 2024
28. C. Pylianidis, M. G.J. Kallenberg, I. N. Athanasiadis, Domain adaptation with transfer learning for pasture digital twins, Environmental Data Science, 3:e8, 2024
29. O. G. Younis, M. Turchetta, D. A. Suarez, S. Yates, B. Studer, I. N. Athanasiadis, A. Krause, J. M. Buhmann, L. Corinzia, ChromaX: a fast and scalable breeding program simulator, Bioinformatics, 39 (12):btad691, 2023
30. C. A. Midingoyi, C. Pradal, A. Enders, D. Fumagalli, P. Lecharpentier, H. Raynal, M. Donatelli, D. Fanchini, I. N. Athanasiadis, C. Porter, G. Hoogenboom, F.A.A. Oliveira, D. Holzworth, P. Martre, Crop modeling frameworks interoperability through bidirectional source code transformation, Environmental Modelling & Software, 168:105790, 2023
31. D. Paudel, D. Marcos, A. de Wit, H. Boogaard, I.N. Athanasiadis, A weakly supervised framework for high-resolution crop yield forecasts, Environmental Research Letters, 18:094062, 2023
32. S.J.Wright, A. Sietsma, S. Korswagen, I. N. Athanasiadis, R. Biesbroek, How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications, Regional Environmental Change, 23:129, 2023
33. M. Radulovic, S. Brdar, B. Pejak, P. Lugonja, I. Athanasiadis, N. Pajevic, D. Pavic, V. Crnojevic, Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data, GIScience and Remote Sensing, 60:2262010, 2023
34. H.R. Maier, S. Galelli, S. Razavi, A. Castelletti, A. Rizzoli, I. N Athanasiadis, M. Sànchez-Marrè, M. Acutis, W. Wu, G.B. Humphrey, Exploding the myths: An introduction to artificial neural networks for prediction and forecasting, Environmental Modelling & Software, 167:105776, 2023
35. E.A. Papoutsoglou, I. N. Athanasiadis, R.G.F. Visser, R. Finkers, The benefits and struggles of FAIR data: the case of reusing plant phenotyping data, Scientific data, 10:457, 2023
36. M.G. Kallenberg, H. Overweg, R. van Bree, I.N. Athanasiadis, Nitrogen management with reinforcement learning and crop growth models, Environmental Data Science, 2:e34, 2023, Cambridge University Press
37. D. Paudel, A. de Wit, H. Boogaard, D. Marcos, S. Osinga, I.N. Athanasiadis, Interpretability of deep learning models for crop yield forecasting, Computers and Electronics in Agriculture, 206:107663, 2023
38. H.-H. Wang, G. van Voorn, W. E. Grant, F. Zare, C. Giupponi, P. Steinmann, B. Mueller, S. Elsawah, H. van Delden, I.N. Athanasiadis, Z. Sun, W. Jager, J.C. Little, A.J. Jakeman, Scale decisions and good practices in socio-environmental systems modelling: guidance and documentation during problem scoping and model formulation, Socio-Environmental Systems Modelling, 5:18563, 2023
39. D. Schokker, M. Poppe. J. ten Napel, I.N. Athanasiadis, C. Kamphuis, R.F. Veerkamp, Rapid turnover of sensor data to genetic evaluation for dairy cows in the cloud, Journal of Diary Science, 105 (12):9792-9798, 2022
40. B. Maestrini, G. Mimic, P.A.J. van Oort, K. Jindo, S. Brdar, I. N.Athanasiadis, F. K. van Evert, Mixing process-based and data-driven approaches in yield prediction, European Journal of Agronomy, 139:126569, 2022
41. N. Grujic, S. Brdar, S. Osinga, G. J. Hofstede, I. N. Athanasiadis, M. Pljakic, N. Obrenovic, M. Govedarica, V. Crnojevic, Combining telecom data with heterogeneous data sources for traffic and emission assessments - an agent-based approach, ISPRS International Journal of Geo-Information, 11 (7):366, 2022
42. C. Pylianidis, V. Snow, H. Overweg, S. Osinga, J. Kean, I. N. Athanasiadis, Simulation-assisted machine learning for operational digital twins, Environmental Modelling & Software, 148:105274, 2022
43. D. Paudel, H. Boogaard, A. de Wit, M. van der Velde, M. Claverie, L. Nisini, S. Janssen, S. Osinga, I. N. Athanasiadis, Machine learning for regional crop yield forecasting in Europe, Field Crops Research, 276:108377, 2022
44. R. Biesbroek, S. J. Wright, S. Korswagen Eguren, A. Bonotto, I. N. Athanasiadis, Policy attention to climate change impacts, adaptation and vulnerability: a global assessment of National Communications (1994–2019), Climate Policy, 22 2022
45. S. Osinga, D.Paudel, S. A. Mouzakitis, I. N. Athanasiadis, Big data in agriculture: Between opportunity and solution, Agricultural Systems, 195:103298, 2022
46. M. Scowen, I.N. Athanasiadis, J.M. Bullock, F. Eigenbrod, S.Willcock, The current and future uses of machine learning in ecosystem service research, Science of The Total Environment, 799:149263, 2021
47. M. van der Voort, D. Jensen, C. Kamphuis, I. N. Athanasiadis, A. De Vries, H.Hogeveen, Invited review: Toward a common language in data-driven mastitis detection research, Journal of Diary Science, 104 (10):10449-10461, 2021
48. R. Dolan, J. M. Bullock, J. P. G. Jones, I. N. Athanasiadis, J. Martinez-Lopez, S. Willcock, The flows of nature to people, and of people to nature: applying movement concepts to ecosystem services, Land, 10 (6):576, 2021
49. C. A. Midingoyi, C. Pradal, A. Enders, D. Fumagalli, H. Raynal, M. Donatelli, I. N. Athanasiadis, C. Porter, G. Hoogenboom, D. Holzworth, F. Garcia, P. Thorburn, P.Martre, Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components, Environmental Modelling & Software, 142:105055, 2021
50. C.Pylianidis, S. Osinga, I. N. Athanasiadis, Introducing digital twins to agriculture, Computers and Electronics in Agriculture, 184:105942, 2021
51. D.Paudel, H. Boogaard, A. de Wit, S.Janssen, S. Osinga, C. Pylianidis, I. N.Athanasiadis, Machine learning for large-scale crop yield forecasting, Agricultural Systems, 187:103016, 2021

2015-2020

52. S. Gummadi, M.D.M. Kadiyala, K.P.C. Rao, I. Athanasiadis, R. Mulwa, M. Kilavi, G. Legesse, T. Amede, Simulating adaptation strategies to offset potential impacts of climate variability and change on maize yields in Embu County, Kenya, PLOS One, 15 (11):e0241147, 2020
53. C.A. Midingoyi, C. Pradal, I.N. Athanasiadis, M. Donatelli, A. Enders, D. Fumagalli, F. Garcia, D. Holzworth, G. Hoogenboom, C. Porter, H. Raynal, P. Thorburn, P. Martre, Reuse of process-based models: automatic transformation into many programming languages and simulation platforms, in silico Plants, 2 (1):diaa007, 2020
54. E.M.M. van der Heide, C. Kamphuis, R.F. Veerkamp, I. N. Athanasiadis, G.Azzopardi, M.L. van Pelt, B.J. Ducro, Improving predictive performance on survival in dairy cattle using an ensemble learning approach, Computers and Electronics in Agriculture, 177:105675, 2020
55. C. Salma, B.Tekinerdogan, I. N. Athanasiadis, Software architectures for big data: a systematic literature review, Big Data Analytics, 5:5, 2020
56. R. Biesbroek, S. Badloe, I. N. Athanasiadis, Machine learning for research on climate change adaptation policy integration: an exploratory UK case study, Regional Environmental Change, 20:85, 2020
57. D. Schokker, I. N. Athanasiadis, B. Visser, R. F. Veerkamp, C. Kamphuis, Storing, combining and analysing turkey experimental data in the Big Data era, Animal, 14 (11):2397-2403, 2020
58. E. A. Papoutsoglou, D. Faria, D. Arend, E. Arnaud, I. N. Athanasiadis, I. Chaves, F. Coppens, G. Cornut, B.V. Costa, H. Cwiek-Kupczynska, B.V. Droesbeke, R. Finkers, K. Gruden, A. Junker, G.J. King, P. Krajewski, M. Lange, M.A. Laporte, C. Michotey, M. Oppermann, R. Ostler, H. Poorter, R. Ramirez-Gonzalez, Z. Ramsak, J.C. Reif, P. Rocca-Serra, S.A. Sansone, U. Scholz, F. Tardieu, C. Uauy, B. Usadel, R. G.F. Visser, S. Weise, P.J. Kersey, C.M. Miguel, A.F. Adam-Blondon, C. Pommier, Enabling reusability of plant phenomic datasets with MIAPPE 1.1, New Phytologist, 227 (1):260-273, 2020
59. G. Motta, B. Tekinerdogan, I. N. Athanasiadis, Blockchain applications in the agrifood domain: the first wave, Frontiers in Blockchain, 2020
60. A. Samourkasidis, I. N. Athanasiadis, A semantic approach for timeseries data fusion, Computers and Electronics in Agriculture, 169:105171, 2020
61. S. Elsawah, T. Filatova, A. J. Jakeman, A. J. Kettner, M. L. Zellner, I. N. Athanasiadis, S. H. Hamilton, R. L. Axtell, D. G. Brown, J. M. Gilligan, M. A. Janssen, D. T. Robinson, J. Rozenberg, I. I. T. Ullah, S. J. Lade, Eight grand challenges in socio-environmental systems modeling, Socio-Environmental Systems Modelling, 2:16226, 2020
62. A. Samourkasidis, E. Papoutsoglou, I. N. Athanasiadis, A template framework for environmental timeseries data acquisition, Environmental Modelling and Software, 117:237-249, 2019
63. E.M.M. van der Heide, R.F. Veerkamp, M.L. van Pelt, C. Kamphuis, I. N. Athanasiadis, B.J. Ducro, Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle, Journal of Diary Science, 102:9409–9421, 2019
64. J. Martínez-López, K. J. Bagstad, S. Balbi, A. Magrach, B. Voigt, I. N. Athanasiadis, M. Pascual, S. Willcock, F. Villa, Towards globally customizable ecosystem service models, Science of the Total Environment, 650:2325-2336, 2019
65. B. Kolosz, I. N. Athanasiadis, G. Cadisch, T. Dawson, C. Giupponi, M. Honzák, J. M. Lopez, A. Marvuglia, V. Mojtahed, K. B. Z. Ogutu, H. van Delden, F. Villa, S. Balbi, Conceptual advancement of socio-ecological modelling of ecosystem services for re-evaluating Brownfield land, Ecosystem Services, 33:29-39, 2018
66. K. Gibert, J. S. Horsburgh, I. N. Athanasiadis, G. Holmes, Environmental Data Science, Environmental Modelling and Software, 106:4-12, 2018
67. S. Willcock, J. Martínez-López, D. A. Hooftman, K. J. Bagstad, S. Balbi, A. Marzo, C. Prato, S. Sciandrello, G. Signorello, B. Voigt, F. Villa, J. M. Bullock, I. N. Athanasiadis, Machine Learning for Ecosystem Services, Ecosystem Services, 33:165-174, 2018
68. D. Kremmydas, I. N. Athanasiadis, S. Rozakis, A review of Agent Based Modeling for agricultural policy evaluation, Agricultural Systems, 164:95-106, 2018
69. F. Villa, S. Balbi, I. N. Athanasiadis, C. Caracciolo, Semantics for interoperability of distributed data and models: Foundations for better-connected information, F1000Research, 6 2017
70. T. Klein, A. Samourkasidis, I. N. Athanasiadis, G. Bellocchi, P. Calanca, webXTREME: R-based web tool for calculating agroclimatic indices of extreme events, Computers and Electronics in Agriculture, 116:111-116, 2017
71. S. J. Janssen, C. H. Porter, A. D. Moore, I. N. Athanasiadis, I. Foster, J. W. Jones, J. M. Antle, Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology, Agricultural Systems, 155:200-212, 2017
72. A. Samourkasidis, I. N. Athanasiadis, A Miniature Data Repository on a Raspberry Pi, Electronics, 6:1, 2017, Multidisciplinary Digital Publishing Institute
73. P. S. Efraimidis, G. Drosatos, A. Arampatzis, G. Stamatelatos, I. N. Athanasiadis, A Privacy-by-Design Contextual Suggestion System for Tourism, Journal of Sensor and Actuator Networks, 5:10, 2016, Multidisciplinary Digital Publishing Institute

2010-2015

74. D. P. Holzworth, V. Snow, S. Janssen, I. N. Athanasiadis, M. Donatelli, G. Hoogenboom, J. W. White, P. Thorburn, Agricultural production systems modelling and software: Current status and future prospects, Environmental Modelling and Software, 72:276-286, 2015
75. C. H. Porter, C. Villalobos, D. Holzworth, R. Nelson, J. W. White, I. N. Athanasiadis, S. Janssen, D. Ripoche, J. Cufi, D. Raes, M. Zhang, R. Knapen, R. Sahajpal, K. J. Boote, J. W. Jones, Harmonization and translation of crop modeling data to ensure interoperability, Environmental Modelling and Software, 62:495–508, 2014
76. F. Villa, K. J. Bagstad, B. Voigt, G. W. Johnson, I. N. Athanasiadis, S. Balbi, The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society, Ecosystem Services, 10:52-53, 2014
77. G. Drosatos, P. Efraimidis, I. Athanasiadis, M. Stevens, E. D'Hondt, Privacy-Preserving Computation of Participatory Noise Maps in the Cloud, Journal of Systems and Software, 92:170-183, 2014
78. S. Nesic, A. E. Rizzoli, I. N. Athanasiadis, Publishing agro-environmental resources as linked data, International Journal of Metadata, Semantics and Ontologies, 7:25-36, 2012
79. S. Janssen, I. N. Athanasiadis, I. Bezlepkina, R. Knapen, H. Li, I. P. Dominguez, A. E. Rizzoli, M. K. van Ittersum, Linking Models for Assessing Agricultural Land Use Change, Computers and Electronics in Agriculture, 76:148-160, 2011
80. I. N. Athanasiadis, A. E. Rizzoli, M. Donatelli, L. Carlini, Enriching environmental software model interfaces through ontology-based tools, International Journal of Applied Systemic Studies, 4:94-105, 2011

2005-2010

81. S. Janssen, F. Ewert, H. Li, I. N. Athanasiadis, J. Wien, O. Thérond, M. Knapen, I. Bezlepkina, J. Alkan-Olsson, A. Rizzoli, H. Belhouchette, M. Svensson, M. van Ittersum, Defining assessment projects and scenarios for policy support: use of ontology in Integrated Assessment and Modelling, Environmental Modelling and Software, 24:1491-1500, 2009
82. I. N. Athanasiadis, M. Milis, P. A. Mitkas, S. C. Michaelides, A multi-agent system for meteorological radar data management and decision support, Environmental Modelling and Software, 24:1264-1273, 2009
83. S. Janssen, E. Andersen, I. N. Athanasiadis, M. K. van Ittersum, A database for integrated assessment of European agricultural systems, Environmental Science and Policy, 12:573-587, 2009
84. F. Villa, I. N. Athanasiadis, A. E. Rizzoli, Modelling with knowledge: a review of emerging semantic approaches to environmental modelling, Environmental Modelling and Software, 24:577-587, 2009
85. D. D. Pennington, I. N. Athanasiadis, S. Bowers, S. Krivov, J. Madin, M. Schildhauer, F. Villa, Indirectly driven knowledge modelling in ecology, International Journal of Metadata, Semantics and Ontologies, 3:210-225, 2008
86. A. E. Rizzoli, M. Donatelli, I. N. Athanasiadis, F. Villa, D. Huber, Semantic links in integrated modelling frameworks, Mathematics and Computers in Simulation, 78:412-423, 2008
87. I. N. Athanasiadis, S. Janssen, Semantic mediation for environmental model components integration, Information Technologies in Environmental Engineering, 1:3-11, 2008
88. A. L. Symeonidis, K. C. Chatzidimitriou, I. N. Athanasiadis, P. A. Mitkas, Data mining for agent reasoning: a synergy for training intelligent agents, Engineering Applications of Artificial Intelligence, 20:1097-1111, 2007
89. I. N. Athanasiadis, P. A. Mitkas, Knowledge discovery for operational decision support in air quality management, Journal of Environmental Informatics, 9:100-107, 2007
90. P. A. Mitkas, A. L. Symeonidis, D. K. Kehagias, I. N. Athanasiadis, Application of data mining and intelligent agent technologies to concurrent engineering, International Journal of Product Lifecycle Management, 2:173-186, 2007
91. V. G. Kaburlasos, I. N. Athanasiadis, P. A. Mitkas, Fuzzy Lattice Reasoning (FLR) classifier and its application for ambient ozone estimation, International Journal of Approximate Reasoning, 45:152-188, 2007
92. A. L. Symeonidis, I. N. Athanasiadis, P. A. Mitkas, A retraining methodology for enhancing agent intelligence, Knowledge-based Systems, 20:388-396, 2007
93. I. N. Athanasiadis, An intelligent service layer upgrades environmental information management, IT Professional, 8:34-39, 2006

2000-2005

94. I. N. Athanasiadis, A. K. Mentes, P. A. Mitkas, Y. A. Mylopoulos, A hybrid agent-based model for estimating residential water demand, Simulation - Transactions of The Society for Modeling and Simulation International, 81:175-187, 2005
95. I. N. Athanasiadis, P. A. Mitkas, Social influence and water conservation: An agent-based approach, IEEE Computing in Science and Engineering, 7:65-70, 2005
96. I. N. Athanasiadis, P. A. Mitkas, An agent-based intelligent environmental monitoring system, Management of Environmental Quality, 15:238-249, 2004

Editorials in peer-reviewed journals and books edited

2020-2025

1. A. Kamilaris, V. Wohlgemuth, K. Karatzas, I.N. Athanasiadis (eds.), Environmental Informatics - New perspectives in Environmental Information Systems, Adjunct Proceedings of the 34th EnviroInfo Conference, Umweltinformatik, 2021, Shaker
2. A. Kamilaris, V. Wohlgemuth, K. Karatzas, I.N. Athanasiadis (eds.), Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability, Proceedings of the 34th EnviroInfo Conference, Progress in IS, 2021, Springer

2015-2020

3. I. N. Athanasiadis, S. P. Frysinger, G. Schimak, W. J. Knibbe (eds.), Environmental Software Systems. Data Science in Action, 2020, Springer Verlag
4. A. Jakeman, I. Athanasiadis, M. Haasnoot, M. Janssen, A. Voinov, The inaugural issue of Socio-Environmental Systems Modelling (SESMO), Socio-Environmental Systems Modelling, 1:16399, 2019
5. K. Gibert, J. S.Horsburgh, I. N.Athanasiadis, G. Holmes, Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle, Environmental Modelling and Software, 106:1-3, 2018

2010-2015

6. I. N. Athanasiadis, S. Janssen, D. Holzworth, P. Thorburn, M. Donatelli, V. Snow, G. Hoogenboom, J. W. White, Thematic Issue on Agricultural Systems Modelling and Software - Part II, Environmental Modelling and Software, 72:274-275, 2015
7. A. J. Jakeman, D. Ames, I. N. Athanasiadis, A. E. Rizzoli, A. A. Voinov, Top 10 reviewers for Environmental Modelling and Software in 2015, Environmental Modelling and Software, 72:272-273, 2015
8. A. J. Jakeman, S. H. Hamilton, I. N. Athanasiadis, S. A. Pierce, Introductory Overviews, Environmental Modelling and Software, 64:240, 2015
9. D. Holzworth, I. N. Athanasiadis, S. Janssen, M. Donatelli, V. Snow, G. Hoogenboom, J. W. White, P. Thorburn, Thematic Issue on Agricultural Systems Modelling and Software - Part I, Environmental Modelling and Software, 62:326, 2014
10. A. J. Jakeman, A. E. Rizzoli, A. A. Voinov, I. N. Athanasiadis, Outstanding reviewers for Environmental Modelling and Software in 2013, Environmental Modelling and Software, 57:iii-iv, 2014
11. A. J. Jakeman, A. E. Rizzoli, A. A. Voinov, I. N. Athanasiadis, Outstanding reviewers for Environmental Modelling and Software in 2011 and 2012, Environmental Modelling and Software, 43:1-2, 2013
12. A. J. Jakeman, A. E. Rizzoli, A. A. Voinov, I. N. Athanasiadis, S. Chen, Outstanding reviewers for Environmental Modelling and Software in 2010, Environmental Modelling and Software, 31:1-2, 2012
13. A. Jakeman, A. Rizzoli, A. Voinov, I. Athanasiadis, T. Berger, M. Borsuk, M. Donatelli, G. Guariso, A. Jolma, S. Marsili-Libelli, B. Robson, M. Sanchez-Marre, R. Seppelt, D. Swayne, Best Paper Awards for 2010, Environmental Modelling and Software, 25:1375, 2011

2005-2010

14. S. Sánchez-Alonso, I. N. Athanasiadis (eds.), Metadata and Semantic Research, 2010, Springer Verlag
15. A. J. Jakeman, A. E. Rizzoli, A. A. Voinov, I. N. Athanasiadis, Best Paper Awards for 2009, Environmental Modelling and Software, 25:1489, 2010
16. A. J. Jakeman, A. E. Rizzoli, A. A. Voinov, I. N. Athanasiadis, Outstanding reviewers for Environmental Modelling and Software in 2009, Environmental Modelling and Software, 25:1063, 2010
17. I. N. Athanasiadis, P. A. Mitkas, A. E. Rizzoli, J. Marx Gomez (eds.), Information Technologies in Environmental Engineering, ITEE-2009, 2009, Springer Verlag

Chapters in peer-reviewed books

2025-2030

1. Z. Lu, T. L. van der Plas, P. Rashidi, W. D. Kissling, I. N. Athanasiadis, Flexible metadata harvesting for ecology using large language models, Communications in Computer and Information Science, Communications in computer and information science, pg. 338-352, 2026, Springer Nature Switzerland

2020-2025

2. G. Koster, A C. Valk, I.N. Athanasiadis, Linking Earth observation data with ground truth from the open web, Image and Signal Processing for Remote Sensing XXIX, vol. 12733, pg. 201-207, 2023, SPIE
3. I. Tsoumas, G. Giannarakis, V. Sitokonstantinou, A. Koukos, D. Loka, N. Bartsotas, C. Kontoes, I.N. Athanasiadis, Evaluating Digital Agriculture Recommendations with Causal Inference, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pg. 14514-14522, 2023
4. C. Pylianidis, V.Snow, D. Holzworth, J. Bryant, I. N. Athanasiadis, Location-specific vs location-agnostic machine learning metamodels for predicting pasture nitrogen response rate, Lecture Notes in Computer Science (Pattern Recognition. ICPR International Workshops and Challenges), vol. 12666, pg. 96-109, 2021, Springer

2015-2020

5. C. Giovanopoulos, Y. Kallianos, I. N. Athanasiadis, D. Dalakoglou, Defining and classifying infrastructural contestation: Towards a synergy between anthropology and data science, Environmental Software Systems. Data Science in Action, IFIP Advances in Information and Communication Technology, vol. 554, pg. 32-47, 2020, Springer Verlag
6. S. Mouzakitis, G. Tsapelas, S. Pelekis, S. Ntanopoulos, D. Askounis, S. Osinga, I. N. Athanasiadis, Investigation of common big data analytics and decision-making requirements across diverse precision agriculture and livestock farming use cases, Environmental Software Systems. Data Science in Action, IFIP Advances in Information and Communication Technology, vol. 554, pg. 139–150, 2020, Springer Verlag
7. C. Mavridis, I. N. Athanasiadis, Spatial Classification with Fuzzy Lattice Reasoning, Proceedings of the 1st International Conference on Internet of Things and Machine Learning, IML '17, pg. 52:1--52:7, 2017, ACM
8. I. N. Athanasiadis, How to start an environmental software project, Environmental Software Systems (ISESS 2017), IFIP Advances in Information and Communication Technology, vol. 507, pg. 395-407, 2017, Springer
9. A. Boufea, R. Finkers, M. van Kaauwen, M. Kramer, I. N. Athanasiadis, Managing Variant Calling Files the Big Data Way, Proc. 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT'17), 2017, ACM
10. C. A. Salma, B. Tekinerdogan, I. N. Athanasiadis, Domain-Driven Design of Big Data Systems Based on a Reference Architecture, Software Architecture for Big Data and the Cloud, 2017, Morgan Kaufmann
11. A. Samourkasidis, I. N. Athanasiadis, A Sensor Observation Service extension for Internet of Things, Interoperability and Open-Source Solutions for the Internet of Things, Lecture Notes in Computer Science, vol. 10218, pg. 56-71, 2017, Springer

2010-2015

12. I. N. Athanasiadis, Challenges in Modelling of Environmental Semantics, Environmental Software Systems, Infrastructures, Services and Applications (ISESS 2015), IFIP Advances in Information and Communication Technology, vol. 448, pg. 19-25, 2015, Springer
13. K. P. Rao, S. Gummadi, R. M. Mulwa, M. N. Kilavi, A. Esilaba, I. N. Athanasiadis, R. O. Valdivia, Impacts of Climate Variability and Change on Agricultural Systems in Eastern Africa, Handbook of Climate Change and Agroecosystems, vol. 2, pg. 75-124, 2015, World Scientific Publishing
14. C. H. Porter, C. Villalobos, D. Holzworth, R. Nelson, J. W. White, I. N. Athanasiadis, M. Zhang, S. Janssen, R. Knapen, J. W. Jones, K. J. Boote, J. Hargreaves, J. M. Antle, Data Interoperability Tools for Regional Integrated Assessments, {H}andbook of Climate Change and Agroecosystems, vol. 1, pg. 147-171, 2015, World Scientific Publishing
15. G. Drosatos, P. S. Efraimidis, A. Arampatzis, G. Stamatelatos, I. N. Athanasiadis, Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism, Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual, vol. 2, pg. 822--827, 2015, IEEE
16. A. Chatzitoulousis, P. S. Efraimidis, I. N. Athanasiadis, Interoperable Multimedia Annotation and Retrieval for the Tourism Sector, Metadata and Semantics Research, CCIS, vol. 544, pg. 65-76, 2015, Springer
17. G. Bellocchi, F. J. Villalobos, M. Donatelli, O. B. Christensen, O. Rojas, R. Confalonieri, I. N. Athanasiadis, I. Carpusca, C. O. Stöckle, Extending existing models to capture vegetation response to extreme weather events: the MODEXTREME project, 7th Intl. Congress on Env. Modelling and Software, pg. 2196-2202, 2014, International Environmental Modelling and Software Society (iEMSs)
18. I. N. Athanasiadis, F. Villa, A roadmap to domain specific programming languages for environmental modeling: key requirements and concepts, Proc. 2013 ACM workshop on Domain-specific modeling, pg. 27-32, 2013, ACM
19. I. N. Athanasiadis, D. Anastasiadou, K. Koulinas, F. Kiourtsis, Identifying Smart Solutions for Fighting Illegal Logging and Timber Trade, Environmental Software Systems. Fostering Information Sharing (ISESS 2013), IFIP Advances in Information and Communication Technology, vol. 413, pg. 143-153, 2013, Springer
20. G. Drosatos, P. S. Efraimidis, I. N. Athanasiadis, E. D'Hondt, M. Stevens, A privacy-preserving cloud computing system for creating participatory noise maps, 36th IEEE Intl Conf on Computer Software and Applications (COMPSAC 2012), pg. 581-586, 2012, IEEE Computer Society
21. S. El Sawah, A. Hicks, P. Manger, I. Athanasiadis, B. Croke, A. Jakeman, A web-based platform for integrated groundwater data management, 19th Intl Conf on Modelling and Simulation (MODSIM 2011), pg. 3141-3147, 2011, Modelling and Simulation Society of Australia and New Zealand
22. S. Nesic, A. E. Rizzoli, I. N. Athanasiadis, Towards a Semantically Unified Environmental Information Space, Environmental Software Systems, IFIP Advances in Information and Communication Technology, vol. 359, pg. 407-418, 2011, Springer
23. V. Protonotarios, L. Gavrilut, I. N. Athanasiadis, I. Hatzakis, M.-A. Sicilia, Introducing a Content Integration Process for a Federation of Agricultural Institutional Repositories, Metadata and Semantic Research, Communications in Computer and Information Science, vol. 240, pg. 467-477, 2011, Springer
24. S. Nesic, A. E. Rizzoli, I. N. Athanasiadis, Publishing and linking semantically annotated agro-environmental resources to LOD with AGROPub, Metadata and Semantic Research, Communications in Computer and Information Science, vol. 240, pg. 478-488, 2011, Springer
25. S. Nesic, A. E. Rizzoli, I. N. Athanasiadis, M. Donatelli, Publishing Agro-Environmental Data to a Semantically Unified Environmental Information Space: a Case Study, 25th Int'l Conf on Informatics for Environmental Protection (EnviroInfo 2011), vol. 2, pg. 856-867, 2011, Shaker

2005-2010

26. I. N. Athanasiadis, A. E. Rizzoli, D. Beard, Data Mining Methods for Quality Assurance in an Environmental Monitoring Network, 20th Intl Conf on Artificial Neural Networks (ICANN 2010), Lecture Notes in Computer Science, vol. 6354, pg. 451-456, 2010, Springer Verlag
27. J.-E. Wien, A. E. Rizzoli, R. Knapen, I. N. Athanasiadis, S. Janssen, L. Ruinelli, F. Villa, M. Svensson, P. Wallman, B. Jonsson, M. van Ittersum, A web-based software system for model integration in impact assessments of agricultural and environmental policies, Environmental and agricultural modelling: integrated approaches for policy impact assessment, pg. 207-234, 2010, Springer
28. K. Louhichi, S. Janssen, A. Kanellopoulos, H. Li, N. Borkowski, G. Flichman, H. Hengsdijk, P. Zander, M. B. Fonseca, G. Stokstad, I. N. Athanasiadis, A. E. Rizzoli, D. Huber, T. Heckelei, M. van Ittersum, A Generic Farming System Simulator, Environmental and agricultural modelling: integrated approaches for policy impact assessment, pg. 109-132, 2010, Springer-Verlag
29. M. Donatelli, G. R. A. E. Rizzoli, M. Acutis, M. Adam, I. N. Athanasiadis, M. Balderacchi, L. Bechini, H. Belhouchette, G. Bellocchi, J.-E. Bergez, M. Botta, E. Braudeau, S. Bregaglio, L. Carlini, E. Casellas, F. Celette, E. Ceotto, M. Hé. Charron-Moirez, R. Confalonieri, M. Corbeels, L. Criscuolo, P. Cruz, A. di Guardo, D. Ditto, C. Dupraz, M. Duru, D. Fiorani, A. Gentile, F. Ewert, C. Gary, E. Habyarimana, C. Jouany, K. Kansou, R. Knapen, G. L. Filippi, P. A. Leffelaar, L. Manici, G. Martin, P. Martin, E. Meuter, N. Mugueta, R. Mulia, M. van Noordwijk, R. Oomen, A. Rosenmund, V. Rossi, F. Salinari, A. Serrano, A. Sorce, G. Vincent, J.-P. Theau, O. Thérond, M. Trevisan, P. Trevisiol, F. K. van Evert, D. Wallach, J. Wery, A. Zerourou, A Component-Based Framework for Simulating Agricultural Production and Externalities, Environmental and agricultural modelling: integrated approaches for policy impact assessment, pg. 63-108, 2010, Springer
30. G. Schimak, A. E. Rizzoli, G. Avellino, T. Pariente Lobo, J. Fuentes, I. N. Athanasiadis, Information enrichment using TaToo's semantic framework, 4rd Intl Conf on Metadata and Semantics Research (MTSR 2010), CCIS, 2010, Springer
31. I. N. Athanasiadis, A.-E. Rizzoli, S. Janssen, E. Andersen, F. Villa, Ontology for Seamless Integration of Agricultural Data and Models, 3rd Intl Conf on Metadata and Semantics Research (MTSR'09), CCIS, vol. 46, pg. 282-293, 2009, Springer-Verlag
32. I. N. Athanasiadis, P. A. Mitkas, A methodology for developing environmental information systems with software agents, Advanced Agent-Based Environmental Management Systems, Whitestein Series in Software Agent Technologies and Autonomic Computing, vol. 21, pg. 119-138, 2009, Birkhäuser
33. I. N. Athanasiadis, Towards a virtual enterprise architecture for the environmental sector, Selected Readings on Information Technology Management: Contemporary Issues, pg. 126-136, 2009, Information Science Reference
34. K. Gibert, J. Spate, M. Sánchez-Marré, I. N. Athanasiadis, J. Comas, Data mining for environmental systems, Environmental Modelling, Software and Decision Support: State of the art and new perspective, Developments in Integrated Environmental Assessment, vol. 3, pg. 205-228, 2008, Elsevier
35. A. E. Rizzoli, G. Leavesley, R. Argent, J. Ascough, I. N. Athanasiadis, V. Brilhante, F. H. Claeys, O. David, M. Donatelli, P. Gijsbers, D. Havlik, A. Kassahun, P. Krause, N. W. Quinn, H. Scholten, R. S. Sodja, F. Villa, Integrated Modelling Frameworks for Environmental Assessment and Decision Support, Environmental Modelling, Software and Decision Support, Developments in Integrated Environmental Assessment, vol. 3, pg. 101-118, 2008, Elsevier
36. I. N. Athanasiadis, Towards a virtual enterprise architecture for the environmental sector, Virtual Technologies: Concepts, Methodologies, Tools, and Applications, vol. 2, pg. 368-378, 2008, Information Science Reference
37. S. Janssen, J. Wien, H. Li, I. N. Athanasiadis, F. Ewert, M. Knapen, D. Huber, O. Thérond, A. Rizzoli, H. Belhouchette, M. Svensson, M. van Ittersum, Defining projects and scenarios for integrated assessment modelling using ontology, MODSIM 2007 Intl Congress on Modelling and Simulation, pg. 2055-2061, 2007, Modelling and Simulation Society of Australia and New Zealand
38. J. J. F. Wien, M. J. R. Knapen, S. J. C. Janssen, P. J. F. M. Verweij, I. N. Athanasiadis, H. Li, A. E. Rizzoli, F. Villa, Using ontology to harmonize knowledge concepts in data and models, MODSIM 2007 Intl Congress on Modelling and Simulation, pg. 1959-1965, 2007, Modelling and Simulation Society of Australia and New Zealand
39. I. N. Athanasiadis, Training intelligent agents in the semantic web era: The golf advisor agent, IEEE Intl Conf on Web Intelligence and Intelligent Agent Technology - Workshops (WI-IAT 2007), 2007, IEEE Press
40. I. N. Athanasiadis, F. Villa, A. E. Rizzoli, Ontologies, JavaBeans and Relational Databases for enabling semantic programming, 31th IEEE Intl Conf on Computer Software and Applications (COMPSAC 2007), vol. 2, pg. 341-346, 2007, IEEE
41. I. N. Athanasiadis, S. Janssen, D. Huber, A. E. Rizzoli, M. van Ittersum, Semantic modelling in farming systems research: The case of the Agricultural Management Definition Module, 3rd Intl Symp on Information Technologies in Environmental Engineering (ITEE 2007), pg. 417-432, 2007, Springer-Verlag
42. A. E. Rizzoli, I. N. Athanasiadis, F. Villa, Delivering environmental knowledge: a semantic approach, Proc. 21st International Conference on Informatics for Environmental Protection: EnviroInfo 2007, vol. 1, pg. 43-50, 2007, Shaker Verlag
43. I. N. Athanasiadis, Towards a virtual enterprise architecture for the environmental sector, Agent and Web Service Technologies in Virtual Enterprises, pg. 256-266, 2007, Information Science Reference
44. I. N. Athanasiadis, The Fuzzy Lattice Reasoning Classifier for mining environmental data, Computational Intelligence Based on Lattice Theory, Studies in Computational Intelligence, pg. 175-193, 2007, Springer-Verlag
45. I. N. Athanasiadis, V. G. Kaburlasos, Air quality assessment using Fuzzy Lattice Reasoning (FLR), IEEE Intl Conf on Fuzzy Systems, World Congress on Computational Intelligence (WCCI 2006), pg. 231-236, 2006, IEEE
46. M. Efraimidou, M. Kanaki, I. N. Athanasiadis, P. Mitkas, K. Karatzas, Data mining air quality data for Athens, Greece, Managing Environmental Knowledge (Proc. 20th Int'l Conference on Informatics for Environmental Protection: EnviroInfo 2006), pg. 505-508, 2006, Shaker Verlag

2000-2005

47. A. E. Rizzoli, M. Donatelli, I. N. Athanasiadis, F. Villa, R. Muetzelfeldt, D. Huber, Semantic links in integrated modelling frameworks, MODSIM 2005 Intl Congress on Modelling and Simulation, pg. 704-710, 2005, Modelling and Simulation Society of Australia and New Zealand
48. T. van der Wal, R. Knapen, M. Svensson, I. N. Athanasiadis, A. E. Rizzoli, Trade-offs in the design of cross-disciplinary software systems, MODSIM 2005 Intl Congress on Modelling and Simulation, pg. 732-737, 2005, Modelling and Simulation Society of Australia and New Zealand
49. I. N. Athanasiadis, A review of agent-based systems applied in environmental informatics, MODSIM 2005 Intl Congress on Modelling and Simulation, pg. 1574-1580, 2005, Modelling and Simulation Society of Australia and New Zealand
50. I. N. Athanasiadis, A. Solsbach, P. A.Mitkas, J. Marx-Gómez, An agent-based middleware for environmental information management, 2nd Intl Symp on Information Technologies in Environmental Engineering (ITEE 2005), pg. 253-267, 2005, Shaker Verlag
51. P. A. Mitkas, A. L. Symeonidis, I. N. Athanasiadis, A retraining methodology for enhancing agent intelligence, IEEE Int'l Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS-05), pg. 422-428, 2005, IEEE
52. P. A. Mitkas, D. Kehagias, A. L. Symeonidis, I. N. Athanasiadis, A framework for constructing multi-agent applications and training intelligent agents, Lecture Notes in Computer Science (Agent Oriented Software Engineering IV), vol. 2935, pg. 96-109, 2004, Springer

Bibliometric profiles

• Google Scholar 5,144 citations, h-index 35
• Scopus 2,779 citations, h-index 28
• Research ID 1,863 citations, h-index 24