Tamás Nepusz
- Molecular Biology top 2%
- Ecology top 1%
- Statistical and Nonlinear Physics top 0.5%
- Sociology and Political Science top 1%
- Computer Networks and Communications top 1%
- Co-authors
- Gábor CsárdiAlberto PaccanaroHaiyuan YuTamás VicsekAndrea PetrócziFülöp BazsóGábor VásárhelyiDeclan P. Naughton
- Topics
- Doping in Sports (11 papers)Behavioral Health and Interventions (10 papers)Complex Network Analysis Techniques (8 papers)
- Partner nations
- United KingdomHungaryAustralia
In The Last Decade
Tamás Nepusz
45 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Molecular Biology 3.2k
- Ecology 1.5k
- Statistical and Nonlinear Physics 1.3k
- Sociology and Political Science 1.0k
- Computer Networks and Communications 897
Countries citing papers authored by Tamás Nepusz
This map shows the geographic impact of Tamás Nepusz'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 Tamás Nepusz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Nepusz more than expected).
Fields of papers citing papers by Tamás Nepusz
This network shows the impact of papers produced by Tamás Nepusz. 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 Tamás Nepusz. The network helps show where Tamás Nepusz may publish in the future.
Co-authorship network of co-authors of Tamás Nepusz
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Nepusz. A scholar is included among the top collaborators of Tamás Nepusz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamás Nepusz. Tamás Nepusz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | Optimized flocking of autonomous drones in confined environmentsbreakdown → | 368 |
| 4 | 125 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | Detecting overlapping protein complexes in protein-protein interaction networksbreakdown → | 919 |
| 9 | 81 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 38 | |
| 13 | 121 | |
| 14 | 43 | |
| 15 | 29 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 76 | |
| 19 | 62 | |
| 20 | 48 |
About Tamás Nepusz
Tamás Nepusz is a scholar working on Applied Psychology, Statistical and Nonlinear Physics and Statistics and Probability, having authored 45 papers that have together received 10.6k indexed citations. Recurring topics across this work include Doping in Sports (11 papers), Behavioral Health and Interventions (10 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Developmental Biology (156 citations) and Ecology (1.5k citations). Tamás Nepusz has collaborated with scholars based in United Kingdom, Hungary and Australia. Frequent co-authors include Gábor Csárdi, Alberto Paccanaro, Haiyuan Yu, Tamás Vicsek, Andrea Petróczi, Fülöp Bazsó, Gábor Vásárhelyi, Declan P. Naughton, Gergő Somorjai and Csaba Virágh. Their work appears in journals such as Nucleic Acids Research, Bioinformatics 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.