Jeff Kahn

3.1k citations
130 papers · 3.3k · h-index 31

Impact in

Papers in

Jeff Kahn

125 papers receiving 3.1k citations

Peers

Jeff Kahn
Comparison fields: 5 of 39
  • Discrete Mathematics and Combinatorics 1.0k
  • Computational Theory and Mathematics 587
  • Computer Graphics and Computer-Aided Design 107
  • Mathematical Physics 217
  • Statistics and Probability 78
Replace Gil Kalai with:
Gil Kalai Israel
Zoltán Füredi Hungary
Vera T. Sós Hungary
Assaf Naor United States
N. C. Wormald Australia
E. G. Straus United States
Gábor Tardos Hungary
Imre Bárány Hungary
Anders Björner Sweden
Carsten Thomassen Denmark
Jeff Kahn relative to Gil Kalai Israel Gil Kalai's profile →
Citations per field
00.5×2×4×6×7.1×
Gil Kalai · 1×
Citations per year

Countries citing papers authored by Jeff Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988449
2 1989157
3 1983135
4 1993131
5 2001114
6 1984107
7 1995104
8 1996100
9 199297
10 200886
11 198983
12 198463
13 199654
14 201254
15 200451
16 199250
17 199550
18 198647
19 200747
20 199646

About Jeff Kahn

Jeff Kahn is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology and Management Science and Operations Research, having authored 130 papers that have together received 3.3k indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (50 papers), Advanced Combinatorial Mathematics (23 papers), Stochastic processes and statistical mechanics (9 papers), Advanced Graph Theory Research (8 papers), Complexity and Algorithms in Graphs (4 papers), Mathematics and Applications (3 papers), Game Theory and Applications (3 papers) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.0k citations), Computational Theory and Mathematics (587 citations), Computer Graphics and Computer-Aided Design (107 citations), Mathematical Physics (217 citations) and Statistics and Probability (78 citations). Jeff Kahn has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Gil Kalai, Nathan Linial, Michael Saks, Endre Szemerédi, János Komlós, Joel Friedman, Daniel J. Kleitman, Maria M. Klawe, Paul D. Seymour and Ehud Friedgut. Their work appears in journals such as COMBINATORICA, Random Structures and Algorithms, Journal of Combinatorial Theory Series A, Combinatorics Probability Computing and Proceedings of the American Mathematical Society.

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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