Jeff Kahn

91 papers receiving 1.9k citations

Peers

Jeff Kahn
Comparison fields: 5 of 98
  • Discrete Mathematics and Combinatorics 1.0k
  • Computational Theory and Mathematics 1.1k
  • Geometry and Topology 546
  • Statistics and Probability 336
  • Mathematical Physics 316
Replace Van H. Vu with:
Van H. Vu United States
B Bollobás United States
Curtis Greene United States
Balázs Szegedy Hungary
L. H. Harper United States
Katalin Vesztergombi Hungary
A. Meir Canada
R. Wilson United States
Alexander Alexandrovich Razborov Russia
Catherine Greenhill Australia
Jeff Kahn relative to Van H. Vu United States Van H. Vu's profile →
Citations per field
00.5×1.5×
Van H. Vu · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993129
2 2001104
3 1984104
4 199598
5 199295
6 199691
7 200877
8 202166
9 198462
10 199550
11 199648
12 199247
13 200446
14 201245
15 199244
16 199844
17 198844
18 199643
19 200743
20 198038

About Jeff Kahn

Jeff Kahn is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology, Computational Theory and Mathematics, Statistics and Probability and Mathematical Physics, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (47 papers), Advanced Graph Theory Research (36 papers), Graph theory and applications (28 papers), Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and statistical mechanics (9 papers), Graph Labeling and Dimension Problems (9 papers), graph theory and CDMA systems (8 papers) and Advanced Algebra and Logic (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.0k citations), Computational Theory and Mathematics (1.1k citations), Geometry and Topology (546 citations), Statistics and Probability (336 citations) and Mathematical Physics (316 citations). Jeff Kahn has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Gil Kalai, Michael Saks, János Komlós, Nathan Linial, Endre Szemerédi, Ehud Friedgut, Jeong Han Kim, Anders F. Johansson, Van Thuong Vu and David Galvin. Their work appears in journals such as COMBINATORICA, Journal of Combinatorial Theory Series A, Random Structures and Algorithms, 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.

Explore authors with similar magnitude of impact