Arvind Ayyer
Impact in
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- Advanced Combinatorial Mathematics
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
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- Stochastic processes and statistical mechanics 19
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- Advanced Combinatorial Mathematics 22
- Co-authors
- Doron Zeilberger (1 shared paper)Joel L. Lebowitz (2 shared papers)Eugène R. Speer (2 shared papers)Mahendra K. Verma (1 shared paper)Ilse Fischer (2 shared papers)Svante Linusson (5 shared papers)Roger E. Behrend (2 shared papers)Kirone Mallick (1 shared paper)
- Journals
- Journal of Combinatorial Theory Series A (4 papers)Journal of Physics A Mathematical and Theoretical (3 papers)Algebraic Combinatorics (2 papers)Journal of Statistical Physics (2 papers)Advances in Applied Mathematics (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Arvind Ayyer
32 papers receiving 212 citations
Peers
Comparison fields: 5 of 42
- Discrete Mathematics and Combinatorics 81
- Mathematical Physics 87
- Algebra and Number Theory 33
- Statistics and Probability 49
- Geometry and Topology 42
Countries citing papers authored by Arvind Ayyer
This map shows the geographic impact of Arvind Ayyer'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 Arvind Ayyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Ayyer more than expected).
Fields of papers citing papers by Arvind Ayyer
This network shows the impact of papers produced by Arvind Ayyer. 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 Arvind Ayyer. The network helps show where Arvind Ayyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Ayyer, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 33 | |
| 2 | 2005 | 23 | |
| 3 | 2009 | 23 | |
| 4 | 2011 | 14 | |
| 5 | 2020 | 11 | |
| 6 | 2014 | 11 | |
| 7 | 2001 | 11 | |
| 8 | 2014 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2007 | 9 | |
| 11 | 2012 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2010 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2010 | 3 |
About Arvind Ayyer
Arvind Ayyer is a scholar working on Mathematical Physics, Discrete Mathematics and Combinatorics, Statistics and Probability, Condensed Matter Physics and Artificial Intelligence, having authored 43 papers that have together received 221 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (22 papers), Stochastic processes and statistical mechanics (19 papers), Theoretical and Computational Physics (12 papers), Markov Chains and Monte Carlo Methods (9 papers), Random Matrices and Applications (8 papers), Algebraic structures and combinatorial models (7 papers), Advanced Mathematical Identities (6 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (81 citations), Mathematical Physics (87 citations), Algebra and Number Theory (33 citations), Statistics and Probability (49 citations) and Geometry and Topology (42 citations). Arvind Ayyer has collaborated with scholars based in India, United States and France. Frequent co-authors include Doron Zeilberger, Joel L. Lebowitz, Eugène R. Speer, Mahendra K. Verma, Ilse Fischer, Svante Linusson, Roger E. Behrend, Kirone Mallick, Sylvain Prolhac and Dan Romik. Their work appears in journals such as Journal of Combinatorial Theory Series A, Journal of Physics A Mathematical and Theoretical, Algebraic Combinatorics, Journal of Statistical Physics and Advances in Applied Mathematics.
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.