Ioannis Dimopoulos
- Environmental Engineering top 2%
- Ecology top 5%
- Nature and Landscape Conservation top 5%
- Artificial Intelligence top 5%
- Global and Planetary Change top 5%
- Co-authors
- Sovan LekMuriel GevreyJacques LaugaM. DELACOSTEPhilippe BaranStéphane AulagnierA. BelaudJ. Chronopoulos
- Topics
- Hydrological Forecasting Using AI (8 papers)Neural Networks and Applications (7 papers)Hydrology and Watershed Management Studies (5 papers)
In The Last Decade
Ioannis Dimopoulos
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Environmental Engineering 511
- Ecology 402
- Nature and Landscape Conservation 358
- Artificial Intelligence 328
- Global and Planetary Change 298
Countries citing papers authored by Ioannis Dimopoulos
This map shows the geographic impact of Ioannis Dimopoulos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ioannis Dimopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Dimopoulos more than expected).
Fields of papers citing papers by Ioannis Dimopoulos
This network shows the impact of papers produced by Ioannis Dimopoulos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ioannis Dimopoulos. The network helps show where Ioannis Dimopoulos may publish in the future.
Co-authorship network of co-authors of Ioannis Dimopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Dimopoulos. A scholar is included among the top collaborators of Ioannis Dimopoulos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ioannis Dimopoulos. Ioannis Dimopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 8 | |
| 4 | 53 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 77 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | Review and comparison of methods to study the contribution of variables in artificial neural network modelsbreakdown → | 974 |
| 13 | 10 | |
| 14 | 118 | |
| 15 | 76 | |
| 16 | Rainfall-runoff modelling by neural networks and Kalman filter | 1 |
| 17 | 7 | |
| 18 | 11 | |
| 19 | Application of neural networks to modelling nonlinear relationships in ecologybreakdown → | 570 |
| 20 | 121 |
About Ioannis Dimopoulos
Ioannis Dimopoulos is a scholar working on Environmental Engineering, Developmental Biology and Health Information Management, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (8 papers), Neural Networks and Applications (7 papers) and Hydrology and Watershed Management Studies (5 papers). The work is most often cited by research in Ecological Modeling (185 citations), Environmental Engineering (511 citations) and Nature and Landscape Conservation (358 citations). Ioannis Dimopoulos has collaborated with scholars based in Greece, France and Germany. Frequent co-authors include Sovan Lek, Muriel Gevrey, Jacques Lauga, M. DELACOSTE, Philippe Baran, Stéphane Aulagnier, A. Belaud, J. Chronopoulos, A. Chronopoulou‐Sereli and William E. Cooper. Their work appears in journals such as Ecological Modelling, Hydrological Sciences Journal and Marine and Freshwater Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.