Gábor Vattay
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Economics and Econometrics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- István CsabaiDániel KondorMárton PósfaiA. WirzbaPéter MátraySándor LakiLjupčo KocarevSándor Molnár
- Topics
- Complex Network Analysis Techniques (26 papers)Quantum chaos and dynamical systems (18 papers)Network Traffic and Congestion Control (17 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical review. B, Condensed matter
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Gábor Vattay
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Statistical and Nonlinear Physics 555
- Computer Networks and Communications 420
- Information Systems 211
- Economics and Econometrics 199
- Atomic and Molecular Physics, and Optics 193
Countries citing papers authored by Gábor Vattay
This map shows the geographic impact of Gábor Vattay'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 Gábor Vattay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Vattay more than expected).
Fields of papers citing papers by Gábor Vattay
This network shows the impact of papers produced by Gábor Vattay. 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 Gábor Vattay. The network helps show where Gábor Vattay may publish in the future.
Co-authorship network of co-authors of Gábor Vattay
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Vattay. A scholar is included among the top collaborators of Gábor Vattay 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 Gábor Vattay. Gábor Vattay 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 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 223 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 49 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Complex Dynamics in Communication Networks (Understanding Complex Systems) | 2 |
| 19 | 20 | |
| 20 | 5 |
About Gábor Vattay
Gábor Vattay is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Quantum chaos and dynamical systems (18 papers) and Network Traffic and Congestion Control (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (555 citations), Computer Networks and Communications (420 citations) and Information Systems (211 citations). Gábor Vattay has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include István Csabai, Dániel Kondor, Márton Pósfai, A. Wirzba, Péter Mátray, Sándor Laki, Ljupčo Kocarev, Sándor Molnár, András Veres and Andrea Harnos. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.
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.