Máté Nagy
Impact in
-
- Distributed Control Multi-Agent Systems
Papers in
-
- Distributed Control Multi-Agent Systems 17
- Nonlinear Dynamics and Pattern Formation 2
-
- Animal Behavior and Reproduction 11
- Co-authors
- Tamás Vicsek (13 shared papers)Dora Biro (6 shared papers)Zsuzsa Ákos (4 shared papers)Iain D. Couzin (13 shared papers)Gábor Vásárhelyi (8 shared papers)Liang Li (4 shared papers)István Daruka (1 shared paper)Jacob M. Graving (1 shared paper)
- Journals
- Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Philosophical Transactions of the Royal Society B Biological Sciences (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- HungaryGermanyUnited Kingdom
In The Last Decade
Máté Nagy
35 papers receiving 2k citations
Máté Nagy's Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Networks and Communications 766
- Statistical and Nonlinear Physics 212
- Ecology, Evolution, Behavior and Systematics 311
- Condensed Matter Physics 196
- Ocean Engineering 218
Countries citing papers authored by Máté Nagy
This map shows the geographic impact of Máté Nagy'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 Máté Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máté Nagy more than expected).
Fields of papers citing papers by Máté Nagy
This network shows the impact of papers produced by Máté Nagy. 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 Máté Nagy. The network helps show where Máté Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Máté Nagy, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical group dynamics in pigeon flocks Hit paper breakdown → | 2010 | 848 |
| 2 | Vortex phase matching as a strategy for schooling in robots and in fish Hit paper breakdown → | 2020 | 176 |
| 3 | 2013 | 143 | |
| 4 | 2006 | 117 | |
| 5 | 2013 | 86 | |
| 6 | 2021 | 83 | |
| 7 | 2008 | 55 | |
| 8 | 2014 | 54 | |
| 9 | 2020 | 53 | |
| 10 | 2013 | 40 | |
| 11 | 2009 | 39 | |
| 12 | 2018 | 38 | |
| 13 | 2020 | 26 | |
| 14 | 2016 | 25 | |
| 15 | 2011 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2023 | 21 |
About Máté Nagy
Máté Nagy is a scholar working on Computer Networks and Communications, Ecology, Evolution, Behavior and Systematics, Ecology, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (17 papers), Animal Behavior and Reproduction (11 papers), Avian ecology and behavior (7 papers), Evacuation and Crowd Dynamics (6 papers), Wildlife Ecology and Conservation (3 papers), Biomimetic flight and propulsion mechanisms (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Fish biology, ecology, and behavior (2 papers). The work is most often cited by research in Computer Networks and Communications (766 citations), Statistical and Nonlinear Physics (212 citations), Ecology, Evolution, Behavior and Systematics (311 citations), Condensed Matter Physics (196 citations) and Ocean Engineering (218 citations). Máté Nagy has collaborated with scholars based in Hungary, Germany and United Kingdom. Frequent co-authors include Tamás Vicsek, Dora Biro, Zsuzsa Ákos, Iain D. Couzin, Gábor Vásárhelyi, Liang Li, István Daruka, Jacob M. Graving, Guangming Xie and Joseph B. Bak-Coleman. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Philosophical Transactions of the Royal Society B Biological Sciences, Scientific Reports and PLoS ONE.
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.