Eric Vigoda
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
Papers in
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- Markov Chains and Monte Carlo Methods 62
-
- Stochastic processes and statistical mechanics 46
- Co-authors
- Daniel Štefankovič (28 shared papers)Elchanan Mossel (3 shared papers)Andreas Galanis (13 shared papers)Michael Luby (2 shared papers)Santosh Vempala (5 shared papers)Thomas P. Hayes (9 shared papers)Soojin V. Yi (3 shared papers)Seongho Kim (3 shared papers)
- Journals
- Random Structures and Algorithms (10 papers)SIAM Journal on Computing (6 papers)The Annals of Applied Probability (5 papers)SIAM Journal on Discrete Mathematics (3 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Eric Vigoda
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 773
- Mathematical Physics 480
- Discrete Mathematics and Combinatorics 91
- Computational Mathematics 13
- Condensed Matter Physics 198
Countries citing papers authored by Eric Vigoda
This map shows the geographic impact of Eric Vigoda'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 Eric Vigoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Vigoda more than expected).
Fields of papers citing papers by Eric Vigoda
This network shows the impact of papers produced by Eric Vigoda. 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 Eric Vigoda. The network helps show where Eric Vigoda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Vigoda, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 114 | |
| 2 | 2000 | 91 | |
| 3 | 2006 | 72 | |
| 4 | 2008 | 64 | |
| 5 | 1999 | 53 | |
| 6 | 2003 | 50 | |
| 7 | 2016 | 49 | |
| 8 | 2004 | 48 | |
| 9 | 2009 | 47 | |
| 10 | 2001 | 44 | |
| 11 | 2008 | 43 | |
| 12 | 2004 | 34 | |
| 13 | 2006 | 30 | |
| 14 | 2004 | 29 | |
| 15 | 1997 | 28 | |
| 16 | 2006 | 28 | |
| 17 | A survey on the use of Markov chains to randomly sample colorings | 2006 | 24 |
| 18 | 2021 | 23 | |
| 19 | 2015 | 23 | |
| 20 | 2016 | 22 |
About Eric Vigoda
Eric Vigoda is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, Condensed Matter Physics and Computational Theory and Mathematics, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (62 papers), Stochastic processes and statistical mechanics (46 papers), Theoretical and Computational Physics (19 papers), Bayesian Methods and Mixture Models (13 papers), Bayesian Modeling and Causal Inference (9 papers), Genomics and Phylogenetic Studies (7 papers), Limits and Structures in Graph Theory (7 papers) and Topological and Geometric Data Analysis (6 papers). The work is most often cited by research in Statistics and Probability (773 citations), Mathematical Physics (480 citations), Discrete Mathematics and Combinatorics (91 citations), Computational Mathematics (13 citations) and Condensed Matter Physics (198 citations). Eric Vigoda has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Daniel Štefankovič, Elchanan Mossel, Andreas Galanis, Michael Luby, Santosh Vempala, Thomas P. Hayes, Soojin V. Yi, Seongho Kim, Navin Elango and Ivona Bezáková. Their work appears in journals such as Random Structures and Algorithms, SIAM Journal on Computing, The Annals of Applied Probability, SIAM Journal on Discrete Mathematics and PLoS Genetics.
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.