Ivan Tanev
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Metaheuristic Optimization Algorithms Research
Papers in
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- Evolutionary Algorithms and Applications 49
- Reinforcement Learning in Robotics 21
- Metaheuristic Optimization Algorithms Research 15
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- Modular Robots and Swarm Intelligence 21
- Co-authors
- Katsunori Shimohara (97 shared papers)Mikhail Prokopenko (2 shared papers)Thomas S. Ray (7 shared papers)Andrzej Buller (2 shared papers)Ruediger C. Braun‐Dullaeus (11 shared papers)Alexander Schmeißer (8 shared papers)Thomas Rauwolf (8 shared papers)Blerim Luani (7 shared papers)
In The Last Decade
Ivan Tanev
129 papers receiving 868 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 261
- Applied Microbiology and Biotechnology 10
- Computer Vision and Pattern Recognition 97
- Cardiology and Cardiovascular Medicine 85
- Automotive Engineering 52
Countries citing papers authored by Ivan Tanev
This map shows the geographic impact of Ivan Tanev'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 Ivan Tanev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Tanev more than expected).
Fields of papers citing papers by Ivan Tanev
This network shows the impact of papers produced by Ivan Tanev. 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 Ivan Tanev. The network helps show where Ivan Tanev may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Tanev, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 89 | |
| 2 | 2005 | 77 | |
| 3 | 2020 | 64 | |
| 4 | 2012 | 57 | |
| 5 | 2017 | 42 | |
| 6 | 2021 | 33 | |
| 7 | 2000 | 30 | |
| 8 | 2005 | 23 | |
| 9 | 2005 | 22 | |
| 10 | 2010 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2005 | 14 | |
| 14 | 2017 | 13 | |
| 15 | Emergence of Glider-like Structures in a Modular Robotic System | 2008 | 13 |
| 16 | 2021 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2006 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2017 | 11 |
About Ivan Tanev
Ivan Tanev is a scholar working on Artificial Intelligence, Mechanical Engineering, Automotive Engineering, Biomedical Engineering and Social Psychology, having authored 148 papers that have together received 903 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (49 papers), Modular Robots and Swarm Intelligence (21 papers), Reinforcement Learning in Robotics (21 papers), Autonomous Vehicle Technology and Safety (15 papers), Metaheuristic Optimization Algorithms Research (15 papers), Evolution and Genetic Dynamics (12 papers), Robotic Path Planning Algorithms (9 papers) and Social Robot Interaction and HRI (8 papers). The work is most often cited by research in Artificial Intelligence (261 citations), Applied Microbiology and Biotechnology (10 citations), Computer Vision and Pattern Recognition (97 citations), Cardiology and Cardiovascular Medicine (85 citations) and Automotive Engineering (52 citations). Ivan Tanev has collaborated with scholars based in Japan, Bulgaria and Germany. Frequent co-authors include Katsunori Shimohara, Mikhail Prokopenko, Thomas S. Ray, Andrzej Buller, Ruediger C. Braun‐Dullaeus, Alexander Schmeißer, Thomas Rauwolf, Blerim Luani, Mitsuhiko Kimoto and Takamasa Iio. Their work appears in journals such as Genetic Programming and Evolvable Machines, ZooKeys, European Heart Journal, Clinics in Dermatology and Journal of Personalized Medicine.
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.