James Propp

64 papers receiving 1.9k citations

James Propp's Hit Papers

Exact sampling with coupled Markov chains and applications to statistical mechanics 1996 · 701 citations
7010+10+20Years since publication200400600

Peers

James Propp
Comparison fields: 5 of 104
  • Discrete Mathematics and Combinatorics 555
  • Statistics and Probability 902
  • Mathematical Physics 721
  • Geometry and Topology 409
  • Algebra and Number Theory 170
Replace Richard Arratia with:
Richard Arratia United States
Prasad Tetali United States
Greg Kuperberg United States
Van Vu United States
Mireille Bousquet‐Mélou France
Alice Guionnet France
Jinho Baik United States
A. M. Vershik Russia
Russell Lyons United States
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Countries citing papers authored by James Propp

Since Specialization
Citations

This map shows the geographic impact of James Propp'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 James Propp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Propp more than expected).

Fields of papers citing papers by James Propp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Propp. 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 James Propp. The network helps show where James Propp may publish in the future.

Co-authors

The 25 scholars most cited alongside James Propp, 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 James Propp Line = papers co-authored together James Propp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exact sampling with coupled Markov chains and applications to statistical mechanics
Hit paper breakdown →
1996701
2 2000167
3 1992160
4 1998124
5 1996120
6 199297
7 200870
8 199565
9 199962
10 200156
11 200356
12 199850
13
How the Alternating Sign Matrix Conjecture Was Solved
199937
14 200031
15 200729
16 199827
17 199927
18 200721
19 201520
20 199718

About James Propp

James Propp is a scholar working on Discrete Mathematics and Combinatorics, Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology and Algebra and Number Theory, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (22 papers), Mathematical Dynamics and Fractals (13 papers), Stochastic processes and statistical mechanics (11 papers), Markov Chains and Monte Carlo Methods (8 papers), Algebraic structures and combinatorial models (8 papers), Cellular Automata and Applications (7 papers), Advanced Topics in Algebra (5 papers) and Quasicrystal Structures and Properties (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (555 citations), Statistics and Probability (902 citations), Mathematical Physics (721 citations), Geometry and Topology (409 citations) and Algebra and Number Theory (170 citations). James Propp has collaborated with scholars based in United States, France and Canada. Frequent co-authors include David B. Wilson, Michael Larsen, Richard Kenyon, Greg Kuperberg, Henry Cohn, Noam D. Elkies, Daniel H. Ullman, David M. Bressoud, Boris Hasselblatt and David Aldous. Their work appears in journals such as The Electronic Journal of Combinatorics, Discrete Mathematics & Theoretical Computer Science, Ergodic Theory and Dynamical Systems, Random Structures and Algorithms and Journal of 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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