Scott Sheffield⋆

5.3k citations
56 papers · 2.1k · h-index 22

Impact in

Papers in

Scott Sheffield⋆

56 papers receiving 1.9k citations

Peers

Scott Sheffield⋆
Comparison fields: 5 of 75
  • Mathematical Physics 1.4k
  • Statistics and Probability 569
  • Condensed Matter Physics 584
  • Geometry and Topology 430
  • Applied Mathematics 516
Replace Jean‐François Le Gall with:
Jean‐François Le Gall France
Wendelin Werner France
Oded Schramm United States
Pavel Bleher United States
Horng‐Tzer Yau United States
A. M. Vershik Russia
Leonard Gross United States
Jinho Baik United States
Alice Guionnet France
Konstantin Khanin Russia
Scott Sheffield⋆ relative to Jean‐François Le Gall France Jean‐François Le Gall's profile →
Citations per field
00.5×2.7×
Jean‐François Le Gall · 1×
Citations per year

Countries citing papers authored by Scott Sheffield⋆

Since Specialization
Citations

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

Fields of papers citing papers by Scott Sheffield⋆

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Sheffield⋆. 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 Scott Sheffield⋆. The network helps show where Scott Sheffield⋆ may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008222
2 2010193
3 2006188
4 2007180
5 2008138
6 2009115
7 200999
8 201289
9 201268
10 200657
11
Random surfaces
200352
12 201450
13 201446
14 201644
15 201641
16 201640
17 200936
18 202134
19 201930
20 200929

About Scott Sheffield⋆

Scott Sheffield⋆ is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistics and Probability, Geometry and Topology and Applied Mathematics, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (39 papers), Mathematical Dynamics and Fractals (22 papers), Theoretical and Computational Physics (14 papers), Markov Chains and Monte Carlo Methods (9 papers), Geometry and complex manifolds (7 papers), Geometric Analysis and Curvature Flows (6 papers), Stochastic processes and financial applications (6 papers) and Black Holes and Theoretical Physics (5 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Statistics and Probability (569 citations), Condensed Matter Physics (584 citations), Geometry and Topology (430 citations) and Applied Mathematics (516 citations). Scott Sheffield⋆ has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Oded Schramm, Yuval Peres, Bertrand Duplantier, Jason Miller, Richard Kenyon, David B. Wilson, Andreĭ Okounkov, Wendelin Werner, Rémi Rhodes and David B. Wilson. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Duke Mathematical Journal, Annales de l Institut Henri Poincaré Probabilités et Statistiques and Acta Mathematica.

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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