Michaël Keane

3.8k citations
88 papers · 2.3k · h-index 24

Impact in

Papers in

Michaël Keane

84 papers receiving 2.0k citations

Peers

Michaël Keane
Comparison fields: 5 of 76
  • Mathematical Physics 1.6k
  • Statistics and Probability 439
  • Geometry and Topology 377
  • Computational Theory and Mathematics 718
  • Statistical and Nonlinear Physics 418
Replace R. Daniel Mauldin with:
R. Daniel Mauldin United States
Gerald A. Edgar United States
Donald S. Ornstein United States
Gerhard Keller Germany
Boris Solomyak United States
Wolfgang Woess Austria
Michael Drmota Austria
Steven P. Lalley United States
Benjamin Weiss Israel
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Citations per field
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Citations per year

Countries citing papers authored by Michaël Keane

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975283
2 1989265
3 1972146
4 1968114
5 1977106
6 196994
7 197975
8 198870
9 199269
10 198562
11 197858
12 198848
13 197744
14 197843
15 199442
16 199041
17 197939
18 200037
19 197133
20 199830

About Michaël Keane

Michaël Keane is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Statistics and Probability, Geometry and Topology and Statistical and Nonlinear Physics, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (37 papers), Stochastic processes and statistical mechanics (16 papers), semigroups and automata theory (11 papers), Cellular Automata and Applications (9 papers), Algorithms and Data Compression (7 papers), Advanced Topology and Set Theory (7 papers), Markov Chains and Monte Carlo Methods (6 papers) and Advanced Queuing Theory Analysis (6 papers). The work is most often cited by research in Mathematical Physics (1.6k citations), Statistics and Probability (439 citations), Geometry and Topology (377 citations), Computational Theory and Mathematics (718 citations) and Statistical and Nonlinear Physics (418 citations). Michaël Keane has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Robert Main Burton, Meir Smorodinsky, Gerard Hooghiemstra, Konrad Jacobs, Alberto Gandolfi, Ethan M. Coven, Frederik Michel Dekking, William Moran, Jon Aaronson and Charles M. Newman. Their work appears in journals such as Probability Theory and Related Fields, Israel Journal of Mathematics, The Annals of Probability, Journal of Applied Probability and Ergodic Theory and Dynamical Systems.

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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