Arvind Ayyer

30 papers receiving 202 citations

Peers

Arvind Ayyer
Comparison fields: 5 of 36
  • Discrete Mathematics and Combinatorics 75
  • Mathematical Physics 85
  • Algebra and Number Theory 31
  • Statistics and Probability 48
  • Geometry and Topology 41
Replace Andrea Sportiello with:
Andrea Sportiello Italy
Abdelmalek Abdesselam United States
Guillaume Chapuy France
Victor V. Prasolov Russia
Jean-Gabriel Luque France
Irina Nenciu United States
Andreas Strömbergsson Sweden
Akihito Hora Japan
Pavlo Pylyavskyy United States
J. G. Wan Australia
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Ayyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Arvind Ayyer Line = papers co-authored together Arvind Ayyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200731
2 200523
3 200920
4 201114
5 202011
6 201411
7 200111
8 20149
9 20199
10 20079
11 20126
12 20236
13 20105
14 20205
15 20234
16 20184
17 20154
18 20234
19 20234
20 20183

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 41 papers that have together received 208 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (21 papers), Stochastic processes and statistical mechanics (18 papers), Theoretical and Computational Physics (11 papers), Markov Chains and Monte Carlo Methods (9 papers), Random Matrices and Applications (7 papers), Algebraic structures and combinatorial models (6 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 (75 citations), Mathematical Physics (85 citations), Algebra and Number Theory (31 citations), Statistics and Probability (48 citations) and Geometry and Topology (41 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, Sylvain Prolhac, Kirone Mallick and Kavita Jain. Their work appears in journals such as Journal of Combinatorial Theory Series A, Journal of Physics A Mathematical and Theoretical, Electronic Journal of Probability, Advances in Mathematics and Algebraic Combinatorics.

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.

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