Dimitrios Gerontitis
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Predrag S. StanimirovićYang ShiRatikanta BeheraMarko D. PetkovićVasilios N. KatsikisShuai LiLong JinJipeng Qiang
- Topics
- Neural Networks and Applications (18 papers)Robotic Mechanisms and Dynamics (10 papers)Model Reduction and Neural Networks (7 papers)
In The Last Decade
Dimitrios Gerontitis
21 papers receiving 305 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 167
- Artificial Intelligence 153
- Computational Theory and Mathematics 69
- Statistical and Nonlinear Physics 58
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Dimitrios Gerontitis
This map shows the geographic impact of Dimitrios Gerontitis'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 Dimitrios Gerontitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitrios Gerontitis more than expected).
Fields of papers citing papers by Dimitrios Gerontitis
This network shows the impact of papers produced by Dimitrios Gerontitis. 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 Dimitrios Gerontitis. The network helps show where Dimitrios Gerontitis may publish in the future.
Co-authorship network of co-authors of Dimitrios Gerontitis
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitrios Gerontitis. A scholar is included among the top collaborators of Dimitrios Gerontitis 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 Dimitrios Gerontitis. Dimitrios Gerontitis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 64 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 25 | |
| 20 | 15 |
About Dimitrios Gerontitis
Dimitrios Gerontitis is a scholar working on Computational Mathematics, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 25 papers that have together received 308 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Robotic Mechanisms and Dynamics (10 papers) and Model Reduction and Neural Networks (7 papers). The work is most often cited by research in Computational Mathematics (14 citations), Control and Systems Engineering (167 citations) and Artificial Intelligence (153 citations). Dimitrios Gerontitis has collaborated with scholars based in Greece, China and Serbia. Frequent co-authors include Predrag S. Stanimirović, Yang Shi, Ratikanta Behera, Marko D. Petković, Vasilios N. Katsikis, Shuai Li, Long Jin, Jipeng Qiang, Jian Li and Miroslav Ćirić. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.
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.