Roman Ilin
Impact in
- Cognitive Neuroscience top 10%
- Cognitive Science and Education Research
- Neural dynamics and brain function
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Cognitive Science and Mapping
Papers in
-
- Neural Networks and Applications 24
- Bayesian Modeling and Causal Inference 6
- Cognitive Science and Mapping 4
- Target Tracking and Data Fusion in Sensor Networks 4
-
- Cognitive Science and Education Research 16
- Neural dynamics and brain function 6
- Co-authors
- Róbert Kozma (17 shared papers)Leonid Perlovsky (14 shared papers)Paul J. Werbos (3 shared papers)Ross Deming (6 shared papers)José F. Fontanari (2 shared papers)Vadim Tikhanoff (2 shared papers)Angelo Cangelosi (2 shared papers)Galina L. Rogova (4 shared papers)
- Journals
- Neural Networks (2 papers)International Journal of Approximate Reasoning (1 paper)Advanced Robotics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Physics Letters A (1 paper)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Roman Ilin
45 papers receiving 391 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 186
- Artificial Intelligence 214
- Computational Theory and Mathematics 61
- Computer Vision and Pattern Recognition 58
- Cultural Studies 14
Countries citing papers authored by Roman Ilin
This map shows the geographic impact of Roman Ilin'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 Roman Ilin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Ilin more than expected).
Fields of papers citing papers by Roman Ilin
This network shows the impact of papers produced by Roman Ilin. 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 Roman Ilin. The network helps show where Roman Ilin may publish in the future.
Co-authors
The 21 scholars most cited alongside Roman Ilin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 58 | |
| 2 | 2009 | 38 | |
| 3 | 2006 | 30 | |
| 4 | 2011 | 29 | |
| 5 | 2010 | 26 | |
| 6 | 2011 | 26 | |
| 7 | 2007 | 19 | |
| 8 | 2006 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2018 | 13 | |
| 12 | 2013 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2012 | 9 | |
| 15 | 2010 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2017 | 6 | |
| 20 | Learning and parameterization of recurrent neural network arrays for brain models and practical applications | 2008 | 4 |
About Roman Ilin
Roman Ilin is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 50 papers that have together received 408 indexed citations. Recurring topics across this work include Neural Networks and Applications (24 papers), Cognitive Science and Education Research (16 papers), Bayesian Modeling and Causal Inference (6 papers), Neural dynamics and brain function (6 papers), Infrared Target Detection Methodologies (4 papers), Cognitive Science and Mapping (4 papers), Neural Networks Stability and Synchronization (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Cognitive Neuroscience (186 citations), Artificial Intelligence (214 citations), Computational Theory and Mathematics (61 citations), Computer Vision and Pattern Recognition (58 citations) and Cultural Studies (14 citations). Roman Ilin has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Róbert Kozma, Leonid Perlovsky, Paul J. Werbos, Ross Deming, José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Galina L. Rogova, Hava T. Siegelmann and Walter Freeman. Their work appears in journals such as Neural Networks, International Journal of Approximate Reasoning, Advanced Robotics, IEEE Transactions on Neural Networks and Learning Systems and Physics Letters A.
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.