Jeffrey E. Steif

1.7k citations
55 papers · 708 · h-index 17

Impact in

Papers in

Jeffrey E. Steif

54 papers receiving 649 citations

Peers

Jeffrey E. Steif
Comparison fields: 5 of 47
  • Mathematical Physics 491
  • Statistics and Probability 323
  • Condensed Matter Physics 221
  • Discrete Mathematics and Combinatorics 48
  • Computational Theory and Mathematics 210
Replace Gady Kozma with:
Gady Kozma Israel
Martin T. Barlow Canada
Johan Jonasson Sweden
Ralph Neininger Germany
Jean-Dominique Deuschel Germany
Vladas Sidoravičius Brazil
Uwe Rösler Germany
Dror Weitz United States
Louigi Addario‐Berry Canada
Peter Mörters United Kingdom
Jeffrey E. Steif relative to Gady Kozma Israel Gady Kozma's profile →
Citations per field
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Gady Kozma · 1×
Citations per year

Countries citing papers authored by Jeffrey E. Steif

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Steif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Steif. 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 Jeffrey E. Steif. The network helps show where Jeffrey E. Steif may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199469
2 199462
3 200650
4 201049
5 200333
6 199927
7 199326
8 199725
9 199925
10 199524
11 198321
12 200021
13 199619
14 199918
15 200018
16 199517
17 200316
18 199815
19 199115
20 201413

About Jeffrey E. Steif

Jeffrey E. Steif is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 55 papers that have together received 708 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (39 papers), Markov Chains and Monte Carlo Methods (25 papers), Mathematical Dynamics and Fractals (24 papers), Theoretical and Computational Physics (17 papers), Cellular Automata and Applications (8 papers), Bayesian Methods and Mixture Models (6 papers), Random Matrices and Applications (5 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Mathematical Physics (491 citations), Statistics and Probability (323 citations), Condensed Matter Physics (221 citations), Discrete Mathematics and Combinatorics (48 citations) and Computational Theory and Mathematics (210 citations). Jeffrey E. Steif has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Robert Burton, Oded Schramm, Johan Jonasson, Richard Durrett, Olle Häggström, Frank den Hollander, Yuval Peres, Russell Lyons, Ronald Meester and Jacob van den Berg. Their work appears in journals such as The Annals of Probability, Stochastic Processes and their Applications, Probability Theory and Related Fields, Ergodic Theory and Dynamical Systems and Israel Journal of Mathematics.

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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