Eva Chondrodima
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Machine Learning and ELM
- Fuzzy Logic and Control Systems
- Ocean Engineering top 10%
- Maritime Navigation and Safety
- Ship Hydrodynamics and Maneuverability
Papers in
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- Neural Networks and Applications 4
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- Maritime Navigation and Safety 5
- Ship Hydrodynamics and Maneuverability 2
- Co-authors
- Alex Alexandridis (9 shared papers)Haralambos Sarimveis (4 shared papers)Yannis Theodoridis (10 shared papers)Nikos Pelekis (7 shared papers)Aggelos Pikrakis (4 shared papers)Dimos Triantis (3 shared papers)George Papadakis (1 shared paper)Filippos Vallianatos (1 shared paper)
In The Last Decade
Eva Chondrodima
18 papers receiving 412 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 172
- Ocean Engineering 72
- Transportation 25
- Control and Systems Engineering 71
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Eva Chondrodima
This map shows the geographic impact of Eva Chondrodima'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 Eva Chondrodima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Chondrodima more than expected).
Fields of papers citing papers by Eva Chondrodima
This network shows the impact of papers produced by Eva Chondrodima. 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 Eva Chondrodima. The network helps show where Eva Chondrodima may publish in the future.
Co-authors
The 23 scholars most cited alongside Eva Chondrodima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 101 | |
| 2 | 2016 | 56 | |
| 3 | 2014 | 39 | |
| 4 | 2016 | 38 | |
| 5 | 2016 | 36 | |
| 6 | 2023 | 34 | |
| 7 | 2014 | 33 | |
| 8 | 2022 | 15 | |
| 9 | 2011 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2014 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2012 | 0 |
About Eva Chondrodima
Eva Chondrodima is a scholar working on Artificial Intelligence, Ocean Engineering, Signal Processing, Transportation and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 422 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (5 papers), Neural Networks and Applications (4 papers), Data Management and Algorithms (3 papers), Human Mobility and Location-Based Analysis (3 papers), Traffic Prediction and Management Techniques (3 papers), Maritime Transport Emissions and Efficiency (3 papers), Face and Expression Recognition (2 papers) and Ship Hydrodynamics and Maneuverability (2 papers). The work is most often cited by research in Artificial Intelligence (172 citations), Ocean Engineering (72 citations), Transportation (25 citations), Control and Systems Engineering (71 citations) and Industrial and Manufacturing Engineering (30 citations). Eva Chondrodima has collaborated with scholars based in Greece, Denmark and Germany. Frequent co-authors include Alex Alexandridis, Haralambos Sarimveis, Yannis Theodoridis, Nikos Pelekis, Aggelos Pikrakis, Dimos Triantis, George Papadakis, Filippos Vallianatos, Evangelos Efthimiou and Harris Georgiou. Their work appears in journals such as GeoInformatica, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, Journal of Materials Science and Applied Soft Computing.
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.