Csaba Virágh
Impact in
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- Distributed Control Multi-Agent Systems
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Robotics and Sensor-Based Localization
- Guidance and Control Systems
Papers in
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- Distributed Control Multi-Agent Systems 6
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- Traffic control and management 2
- Co-authors
- Gábor Vásárhelyi (6 shared papers)Tamás Vicsek (4 shared papers)Tamás Nepusz (3 shared papers)A. E. Eiben (2 shared papers)Norbert Tarcai (2 shared papers)Máté Nagy (3 shared papers)Carlos Gershenson (2 shared papers)Dániel Ábel (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)Data Archiving and Networked Services (DANS) (1 paper)
- Partner nations
- HungaryNorwayNetherlands
In The Last Decade
Csaba Virágh
6 papers receiving 578 citations
Csaba Virágh's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 417
- Aerospace Engineering 235
- Computer Vision and Pattern Recognition 192
- Condensed Matter Physics 74
- Mechanical Engineering 138
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 | 398 |
| 2 | 2014 | 145 | |
| 3 | 2011 | 24 | |
| 4 | 2016 | 15 | |
| 5 | 2018 | 2 | |
| 6 | 2016 | 1 |
About Csaba Virágh
Csaba Virágh is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering and Aerospace Engineering, having authored 6 papers that have together received 585 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (6 papers), Traffic control and management (2 papers), Modular Robots and Swarm Intelligence (2 papers), UAV Applications and Optimization (2 papers), Robotic Path Planning Algorithms (2 papers), Evacuation and Crowd Dynamics (2 papers), Diffusion and Search Dynamics (1 paper) and Micro and Nano Robotics (1 paper). The work is most often cited by research in Computer Networks and Communications (417 citations), Aerospace Engineering (235 citations), Computer Vision and Pattern Recognition (192 citations), Condensed Matter Physics (74 citations) and Mechanical Engineering (138 citations). Csaba Virágh has collaborated with scholars based in Hungary, Norway and Netherlands. Frequent co-authors include Gábor Vásárhelyi, Tamás Vicsek, Tamás Nepusz, A. E. Eiben, Norbert Tarcai, Máté Nagy, Carlos Gershenson, Dániel Ábel and Péter L. Várkonyi. 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 Data Archiving and Networked Services (DANS).
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.