Tom Meyerovitch

475 citations
26 papers · 139 · h-index 8

Impact in

Papers in

Tom Meyerovitch

20 papers receiving 129 citations

Peers

Tom Meyerovitch
Comparison fields: 5 of 21
  • Mathematical Physics 107
  • Computational Theory and Mathematics 99
  • Geometry and Topology 26
  • Statistical and Nonlinear Physics 18
  • Condensed Matter Physics 15
Replace Balázs Bárány with:
Balázs Bárány Hungary
Giulio Tiozzo Canada
Qi-Rong Deng China
Ronnie Pavlov United States
Jonathan M. Fraser United Kingdom
Ori Gurel-Gurevich Israel
Alexander I. Bufetov Russia
Beverly Diamond United States
Renaud Leplaideur France
Sergey Bezuglyi Ukraine
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Citations per field
00.5×3.3×
Balázs Bárány · 1×
Citations per year

Countries citing papers authored by Tom Meyerovitch

Since Specialization
Citations

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

Fields of papers citing papers by Tom Meyerovitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Tom Meyerovitch, 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 Tom Meyerovitch Line = papers co-authored together Tom Meyerovitch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A characterization of the entropies of multidimensional shifts of finite type
201243
2 200911
3 201011
4 201811
5 20089
6 20188
7 20167
8 20167
9 20126
10 20146
11 20085
12 20215
13 20083
14 20221
15 20221
16 20151
17 20231
18 20241
19 20121
20 20131

About Tom Meyerovitch

Tom Meyerovitch is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence and Molecular Biology, having authored 26 papers that have together received 139 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (19 papers), Cellular Automata and Applications (10 papers), Advanced Topology and Set Theory (7 papers), Algorithms and Data Compression (6 papers), semigroups and automata theory (5 papers), Computability, Logic, AI Algorithms (4 papers), DNA and Biological Computing (4 papers) and Theoretical and Computational Physics (3 papers). The work is most often cited by research in Mathematical Physics (107 citations), Computational Theory and Mathematics (99 citations), Geometry and Topology (26 citations), Statistical and Nonlinear Physics (18 citations) and Condensed Matter Physics (15 citations). Tom Meyerovitch has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Michael Hochman, Masaki Tsukamoto, Moshe Schwartz, Ronnie Pavlov, Thierry de la Rue, Jon Aaronson, Wojciech Samotij, Omer Angel, Itaï Benjamini and Yonatan Gutman. Their work appears in journals such as Ergodic Theory and Dynamical Systems, Transactions of the American Mathematical Society, Proceedings of the London Mathematical Society, IEEE Transactions on Information Theory and Annales de l Institut Henri Poincaré Probabilités et Statistiques.

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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