| Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing P Doganis, A Alexandridis, P Patrinos, H Sarimveis Journal of food engineering 75 (2), 196-204, 2006 | 306 | 2006 |
| The eNanoMapper database for nanomaterial safety information N Jeliazkova, C Chomenidis, P Doganis, B Fadeel, R Grafström, B Hardy, ... Beilstein journal of nanotechnology 6 (1), 1609-1634, 2015 | 116 | 2015 |
| NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment A Afantitis, G Melagraki, P Isigonis, A Tsoumanis, DD Varsou, ... Computational and Structural Biotechnology Journal 18, 583-602, 2020 | 107 | 2020 |
| Optimal scheduling in a yogurt production line based on mixed integer linear programming P Doganis, H Sarimveis Journal of Food Engineering 80 (2), 445-453, 2007 | 106 | 2007 |
| An adaptive model predictive control configuration for production–inventory systems E Aggelogiannaki, P Doganis, H Sarimveis International Journal of Production Economics 114 (1), 165-178, 2008 | 98 | 2008 |
| A classification technique based on radial basis function neural networks H Sarimveis, P Doganis, A Alexandridis Advances in Engineering Software 37 (4), 218-221, 2006 | 97 | 2006 |
| Optimal production scheduling for the dairy industry P Doganis, H Sarimveis Annals of Operations Research 159, 315-331, 2008 | 72 | 2008 |
| A combined model predictive control and time series forecasting framework for production-inventory systems P Doganis, E Aggelogiannaki, H Sarimveis International Journal of Production Research 46 (24), 6841-6853, 2008 | 71 | 2008 |
| Metadata stewardship in nanosafety research: Community-driven organisation of metadata schemas to support FAIR nanoscience data AG Papadiamantis, FC Klaessig, TE Exner, S Hofer, N Hofstaetter, ... Nanomaterials 10 (10), 2033, 2020 | 62 | 2020 |
| Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna P Karatzas, G Melagraki, LJA Ellis, I Lynch, DD Varsou, A Afantitis, ... Small 16 (36), 2001080, 2020 | 50 | 2020 |
| Current approaches and techniques in physiologically based pharmacokinetic (PBPK) modelling of nanomaterials W Utembe, H Clewell, N Sanabria, P Doganis, M Gulumian Nanomaterials 10 (7), 1267, 2020 | 50 | 2020 |
| Representing and describing nanomaterials in predictive nanoinformatics E Wyrzykowska, A Mikolajczyk, I Lynch, N Jeliazkova, N Kochev, ... Nature Nanotechnology 17 (9), 924-932, 2022 | 45 | 2022 |
| Can an InChI for nano address the need for a simplified representation of complex nanomaterials across experimental and nanoinformatics studies? I Lynch, A Afantitis, T Exner, M Himly, V Lobaskin, P Doganis, D Maier, ... Nanomaterials 10 (12), 2493, 2020 | 44 | 2020 |
| 16 Mixed Integer Linear Programming Scheduling in the Food Industry P Doganis, H Sarimveis Optimization in food engineering, 305, 2008 | 26 | 2008 |
| Jaqpot Quattro: a novel computational web platform for modeling and analysis in nanoinformatics C Chomenidis, G Drakakis, G Tsiliki, E Anagnostopoulou, A Valsamis, ... Journal of Chemical Information and Modeling 57 (9), 2161-2172, 2017 | 25 | 2017 |
| A model predictive control and time series forecasting framework for supply chain management P Doganis, E Aggelogiannaki, H Sarimveis International Journal of Industrial and Manufacturing Engineering 2 (3), 315-319, 2008 | 17 | 2008 |
| The first eNanoMapper prototype: A substance database to support safe-by-design N Jeliazkova, P Doganis, B Fadeel, R Grafström, J Hastings, V Jeliazkov, ... 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1-9, 2014 | 16 | 2014 |
| Optimization of power production through coordinated use of hydroelectric and conventional power units P Doganis, H Sarimveis Applied Mathematical Modelling 38 (7-8), 2051-2062, 2014 | 15 | 2014 |
| Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish C Gousiadou, RL Marchese Robinson, M Kotzabasaki, P Doganis, ... Nanotoxicology 15 (4), 446-476, 2021 | 13 | 2021 |
| Decision trees for continuous data and conditional mutual information as a criterion for splitting instances G Drakakis, S Moledina, C Chomenidis, P Doganis, H Sarimveis Combinatorial chemistry & high throughput screening 19 (5), 423-428, 2016 | 10 | 2016 |
