Máté Nagy
Impact in
- Developmental Biology top 2%
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
-
- Animal Behavior and Reproduction 13
- Genetics 9
- Insect and Arachnid Ecology and Behavior 6
- Human-Animal Interaction Studies 3
- Co-authors
- Tamás Vicsek (13 shared papers)Dora Biro (6 shared papers)Zsuzsa Ákos (4 shared papers)Iain D. Couzin (12 shared papers)Gábor Vásárhelyi (7 shared papers)Liang Li (4 shared papers)I. Daruka (1 shared paper)Joseph B. Bak-Coleman (1 shared paper)
- Journals
- Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Scientific Reports (2 papers)Royal Society Open Science (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- HungaryGermanyUnited Kingdom
In The Last Decade
Máté Nagy
33 papers receiving 1.8k citations
Máté Nagy's Hit Papers
Peers
Comparison fields: 5 of 129
- Developmental Biology 104
- Condensed Matter Physics 280
- Ecology, Evolution, Behavior and Systematics 447
- Computer Networks and Communications 465
- Statistical and Nonlinear Physics 200
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical group dynamics in pigeon flocks Hit paper breakdown → | 2010 | 758 |
| 2 | 2020 | 151 | |
| 3 | 2013 | 127 | |
| 4 | 2006 | 105 | |
| 5 | 2013 | 77 | |
| 6 | 2021 | 67 | |
| 7 | 2014 | 51 | |
| 8 | 2008 | 50 | |
| 9 | 2020 | 46 | |
| 10 | 2013 | 36 | |
| 11 | 2009 | 35 | |
| 12 | 2018 | 34 | |
| 13 | 2011 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2008 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2015 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2023 | 17 |
About Máté Nagy
Máté Nagy is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Computer Networks and Communications, Sociology and Political Science and Ecology, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (13 papers), Insect and Arachnid Ecology and Behavior (6 papers), Distributed Control Multi-Agent Systems (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Diffusion and Search Dynamics (4 papers), Animal Vocal Communication and Behavior (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Human-Animal Interaction Studies (3 papers). The work is most often cited by research in Developmental Biology (104 citations), Condensed Matter Physics (280 citations), Ecology, Evolution, Behavior and Systematics (447 citations), Computer Networks and Communications (465 citations) and Statistical and Nonlinear Physics (200 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, I. Daruka, Joseph B. Bak-Coleman, Guangming Xie and Benjamin Pettit. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Scientific Reports, Royal Society Open Science and Philosophical Transactions of the Royal Society B Biological Sciences.
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.