Máté Nagy

34 papers and 1.7k indexed citations i.

About

Máté Nagy is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Computer Networks and Communications. According to data from OpenAlex, Máté Nagy has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Genetics and 8 papers in Computer Networks and Communications. Recurrent topics in Máté Nagy’s work include Animal Behavior and Reproduction (14 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). Máté Nagy is often cited by papers focused on Animal Behavior and Reproduction (14 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Evolutionary Game Theory and Cooperation (6 papers). Máté Nagy collaborates with scholars based in Hungary, Germany and United Kingdom. Máté Nagy's co-authors include Tamás Vicsek, Zsuzsa Ákos, Dora Biro, Iain D. Couzin, Gábor Vásárhelyi, I. Daruka, Andrea Flack, Liang Li, Benjamin Pettit and Martin Wikelski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Máté Nagy i

Fields of papers citing papers by Máté Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Máté Nagy

Since Specialization
Citations

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).

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.

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