Márton Pósfai
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Molecular Biology
- Information Systems top 5%
- Economics and Econometrics top 10%
- Co-authors
- Yang‐Yu LiuAlbert-Ĺaszló BarabásiGábor VattayJean-Jacques SlotineDániel KondorIstván CsabaiEndre CsókaTao Jia
- Topics
- Complex Network Analysis Techniques (15 papers)Opinion Dynamics and Social Influence (10 papers)Gene Regulatory Network Analysis (4 papers)
- Partner nations
- United StatesHungaryAustria
In The Last Decade
Márton Pósfai
20 papers receiving 939 citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 485
- Computer Networks and Communications 350
- Molecular Biology 184
- Information Systems 147
- Economics and Econometrics 110
Countries citing papers authored by Márton Pósfai
This map shows the geographic impact of Márton Pósfai'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 Márton Pósfai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márton Pósfai more than expected).
Fields of papers citing papers by Márton Pósfai
This network shows the impact of papers produced by Márton Pósfai. 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 Márton Pósfai. The network helps show where Márton Pósfai may publish in the future.
Co-authorship network of co-authors of Márton Pósfai
This figure shows the co-authorship network connecting the top 25 collaborators of Márton Pósfai. A scholar is included among the top collaborators of Márton Pósfai 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 Márton Pósfai. Márton Pósfai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 11 | |
| 7 | 17 | |
| 8 | 116 | |
| 9 | 5 | |
| 10 | 56 | |
| 11 | 15 | |
| 12 | 31 | |
| 13 | 223 | |
| 14 | Bimodality in Network Control | 2 |
| 15 | 177 | |
| 16 | 64 | |
| 17 | Effect of correlations on network controllability | 117 |
| 18 | 33 | |
| 19 | 1 | |
| 20 | 11 |
About Márton Pósfai
Márton Pósfai is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Sensory Systems, having authored 21 papers that have together received 967 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Opinion Dynamics and Social Influence (10 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (485 citations), Computer Networks and Communications (350 citations) and Information Systems (147 citations). Márton Pósfai has collaborated with scholars based in United States, Hungary and Austria. Frequent co-authors include Yang‐Yu Liu, Albert-Ĺaszló Barabási, Gábor Vattay, Jean-Jacques Slotine, Dániel Kondor, István Csabai, Endre Csóka, Tao Jia, Raissa M. D’Souza and Philipp Hövel. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.