Csaba Virágh
Impact in
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- Distributed Control Multi-Agent Systems
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence
Papers in
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- Distributed Control Multi-Agent Systems 6
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- Evacuation and Crowd Dynamics 3
- Co-authors
- Gábor Vásárhelyi (6 shared papers)Tamás Vicsek (5 shared papers)Tamás Nepusz (3 shared papers)Agoston Endre Eiben (2 shared papers)Norbert Tarcai (2 shared papers)Máté Nagy (2 shared papers)Carlos Gershenson (1 shared paper)Péter L. Várkonyi (1 shared paper)
- Journals
- Science Robotics (1 paper)Bioinspiration & Biomimetics (1 paper)Journal of Statistical Mechanics Theory and Experiment (1 paper)Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (1 paper)IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- HungaryNorwayNetherlands
In The Last Decade
Csaba Virágh
6 papers receiving 626 citations
Csaba Virágh's Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 405
- Mechanical Engineering 161
- Aerospace Engineering 83
- Statistical and Nonlinear Physics 35
- Condensed Matter Physics 37
Countries citing papers authored by Csaba Virágh
This map shows the geographic impact of Csaba Virágh'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 Csaba Virágh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Virágh more than expected).
Fields of papers citing papers by Csaba Virágh
This network shows the impact of papers produced by Csaba Virágh. 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 Csaba Virágh. The network helps show where Csaba Virágh may publish in the future.
Co-authors
The 9 scholars most cited alongside Csaba Virágh, 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 | Optimized flocking of autonomous drones in confined environments Hit paper breakdown → | 2018 | 432 |
| 2 | 2014 | 152 | |
| 3 | 2011 | 24 | |
| 4 | 2016 | 19 | |
| 5 | Group chasing tactics: how to catch a faster prey | 2017 | 11 |
| 6 | 2018 | 2 |
About Csaba Virágh
Csaba Virágh is a scholar working on Computer Networks and Communications, Ocean Engineering, Control and Systems Engineering, Public Health, Environmental and Occupational Health and Mechanical Engineering, having authored 6 papers that have together received 640 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (6 papers), Evacuation and Crowd Dynamics (3 papers), Traffic control and management (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Computer Networks and Communications (405 citations), Mechanical Engineering (161 citations), Aerospace Engineering (83 citations), Statistical and Nonlinear Physics (35 citations) and Condensed Matter Physics (37 citations). Csaba Virágh has collaborated with scholars based in Hungary, Norway and Netherlands. Frequent co-authors include Gábor Vásárhelyi, Tamás Vicsek, Tamás Nepusz, Agoston Endre Eiben, Norbert Tarcai, Máté Nagy, Carlos Gershenson, Péter L. Várkonyi and Dániel Ábel. Their work appears in journals such as Science Robotics, Bioinspiration & Biomimetics, Journal of Statistical Mechanics Theory and Experiment, Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.