Michaël Keane

3.8k citations
86 papers · 2.3k · h-index 25

Impact in

Papers in

Michaël Keane

84 papers receiving 1.9k citations

Peers

Michaël Keane
Comparison fields: 5 of 77
  • Mathematical Physics 1.6k
  • Statistics and Probability 410
  • Computational Theory and Mathematics 702
  • Geometry and Topology 352
  • Statistical and Nonlinear Physics 426
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R. Daniel Mauldin United States
Gerald A. Edgar United States
Donald Ornstein United States
Ka‐Sing Lau Hong Kong
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Boris Solomyak United States
Wolfgang Woess Austria
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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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975264
2 1989247
3 1972145
4 1968118
5 1977105
6 196994
7 197974
8 198874
9 198569
10 199264
11 197857
12 198849
13 197843
14 199041
15 197740
16 199437
17 197936
18 200036
19 197132
20 199831

About Michaël Keane

Michaël Keane is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Statistics and Probability and Artificial Intelligence, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (36 papers), Stochastic processes and statistical mechanics (16 papers), semigroups and automata theory (10 papers), Cellular Automata and Applications (8 papers), Advanced Topology and Set Theory (7 papers), Advanced Queuing Theory Analysis (6 papers), Algorithms and Data Compression (6 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Mathematical Physics (1.6k citations), Statistics and Probability (410 citations), Computational Theory and Mathematics (702 citations), Geometry and Topology (352 citations) and Statistical and Nonlinear Physics (426 citations). Michaël Keane has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Robert Burton, Meir Smorodinsky, Gerard Hooghiemstra, Konrad Jacobs, Alberto Gandolfi, F. M. Dekking, William Moran, Ethan M. Coven, Roger Cooke 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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