Alistair Sinclair
Impact in
- Statistics and Probability top 0.1%
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
Papers in
-
- Markov Chains and Monte Carlo Methods 64
-
- Stochastic processes and statistical mechanics 50
- Co-authors
- Mark Jerrum (10 shared papers)Michael Luby (5 shared papers)David Zuckerman (2 shared papers)Steve Chien (8 shared papers)Yuri Rabinovich (9 shared papers)Yuval Rabani (8 shared papers)Dana Randall (7 shared papers)Dror Weitz (7 shared papers)
- Journals
- SIAM Journal on Computing (8 papers)Random Structures and Algorithms (6 papers)Probability Theory and Related Fields (3 papers)Theoretical Computer Science (2 papers)Combinatorics Probability Computing (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Alistair Sinclair
104 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 2.0k
- Mathematical Physics 1.2k
- Discrete Mathematics and Combinatorics 332
- Computational Theory and Mathematics 1.5k
- Computational Mathematics 29
Countries citing papers authored by Alistair Sinclair
This map shows the geographic impact of Alistair Sinclair'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 Alistair Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alistair Sinclair more than expected).
Fields of papers citing papers by Alistair Sinclair
This network shows the impact of papers produced by Alistair Sinclair. 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 Alistair Sinclair. The network helps show where Alistair Sinclair may publish in the future.
Co-authors
The 25 scholars most cited alongside Alistair Sinclair, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 495 | |
| 2 | 1989 | 470 | |
| 3 | The Markov chain Monte Carlo method: an approach to approximate counting and integration | 1996 | 353 |
| 4 | 1993 | 334 | |
| 5 | 1992 | 318 | |
| 6 | 1993 | 293 | |
| 7 | 1993 | 276 | |
| 8 | 2002 | 241 | |
| 9 | 1988 | 148 | |
| 10 | 2004 | 106 | |
| 11 | 2007 | 100 | |
| 12 | 2002 | 95 | |
| 13 | 2001 | 93 | |
| 14 | 1990 | 76 | |
| 15 | 1992 | 76 | |
| 16 | 2009 | 73 | |
| 17 | 2006 | 60 | |
| 18 | 1992 | 53 | |
| 19 | 1996 | 50 | |
| 20 | 2014 | 47 |
About Alistair Sinclair
Alistair Sinclair is a scholar working on Statistics and Probability, Mathematical Physics, Computational Theory and Mathematics, Artificial Intelligence and Condensed Matter Physics, having authored 109 papers that have together received 4.7k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (64 papers), Stochastic processes and statistical mechanics (50 papers), Theoretical and Computational Physics (23 papers), Advanced Graph Theory Research (21 papers), Complexity and Algorithms in Graphs (16 papers), Algorithms and Data Compression (8 papers), Computational Geometry and Mesh Generation (7 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Statistics and Probability (2.0k citations), Mathematical Physics (1.2k citations), Discrete Mathematics and Combinatorics (332 citations), Computational Theory and Mathematics (1.5k citations) and Computational Mathematics (29 citations). Alistair Sinclair has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mark Jerrum, Michael Luby, David Zuckerman, Steve Chien, Yuri Rabinovich, Yuval Rabani, Dana Randall, Dror Weitz, Fabio Martinelli and Piyush Srivastava. Their work appears in journals such as SIAM Journal on Computing, Random Structures and Algorithms, Probability Theory and Related Fields, Theoretical Computer Science and Combinatorics Probability Computing.
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.