András Telcs
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
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- Complex Network Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 13
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- Stochastic processes and statistical mechanics 15
- Co-authors
- A. Schubert (8 shared papers)Alexander Grigorʼyan (3 shared papers)Nicholas Wormald (4 shared papers)Zsolt Tibor Kosztyán (14 shared papers)Attila Vidács (2 shared papers)Rolland Vida (2 shared papers)Zoltán Néda (4 shared papers)Tamás S. Bíró (5 shared papers)
In The Last Decade
András Telcs
61 papers receiving 743 citations
Peers
Comparison fields: 5 of 95
- Mathematical Physics 246
- Statistical and Nonlinear Physics 184
- Geometry and Topology 113
- Statistics and Probability 94
- Statistics, Probability and Uncertainty 79
Countries citing papers authored by András Telcs
This map shows the geographic impact of András Telcs'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 András Telcs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Telcs more than expected).
Fields of papers citing papers by András Telcs
This network shows the impact of papers produced by András Telcs. 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 András Telcs. The network helps show where András Telcs may publish in the future.
Co-authors
The 25 scholars most cited alongside András Telcs, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 77 | |
| 2 | 2001 | 65 | |
| 3 | 2006 | 59 | |
| 4 | 1989 | 48 | |
| 5 | 2002 | 47 | |
| 6 | 2008 | 41 | |
| 7 | 2018 | 36 | |
| 8 | 1999 | 34 | |
| 9 | 2013 | 24 | |
| 10 | 1986 | 23 | |
| 11 | 2007 | 22 | |
| 12 | 1990 | 20 | |
| 13 | 1995 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 1985 | 17 | |
| 16 | 1989 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 2001 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2006 | 14 |
About András Telcs
András Telcs is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Geometry and Topology, Economics and Econometrics and Condensed Matter Physics, having authored 69 papers that have together received 790 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (15 papers), Complex Network Analysis Techniques (13 papers), Theoretical and Computational Physics (8 papers), Complex Systems and Time Series Analysis (8 papers), Graph theory and applications (6 papers), Geometric Analysis and Curvature Flows (5 papers), scientometrics and bibliometrics research (5 papers) and Geometry and complex manifolds (5 papers). The work is most often cited by research in Mathematical Physics (246 citations), Statistical and Nonlinear Physics (184 citations), Geometry and Topology (113 citations), Statistics and Probability (94 citations) and Statistics, Probability and Uncertainty (79 citations). András Telcs has collaborated with scholars based in Hungary, Romania and Australia. Frequent co-authors include A. Schubert, Alexander Grigorʼyan, Nicholas Wormald, Zsolt Tibor Kosztyán, Attila Vidács, Rolland Vida, Zoltán Néda, Tamás S. Bíró, János Abonyi and Wolfgang Glänzel. Their work appears in journals such as Scientometrics, Journal of Statistical Physics, Physica A Statistical Mechanics and its Applications, Journal of Applied Probability and Probability Theory and Related Fields.
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.