Michael Hochman

1.2k citations
21 papers · 407 · h-index 10

Impact in

Papers in

Michael Hochman

20 papers receiving 384 citations

Peers

Michael Hochman
Comparison fields: 5 of 58
  • Mathematical Physics 259
  • Computational Theory and Mathematics 130
  • Geometry and Topology 69
  • Statistical and Nonlinear Physics 81
  • Ophthalmology 30
Replace Pablo Shmerkin with:
Pablo Shmerkin Argentina
Hitoshi Nakada Japan
Andreas Schief Germany
Dong Han Kim South Korea
Thierry de la Rue France
Radu Miculescu Romania
Dominik Kwietniak Poland
Huo-Jun Ruan China
Carlos Gustavo Moreira Brazil
Huyi Hu United States
Michael Hochman relative to Pablo Shmerkin Argentina Pablo Shmerkin's profile →
Citations per field
00.5×1.5×2.4×
Pablo Shmerkin · 1×
Citations per year

Countries citing papers authored by Michael Hochman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hochman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Michael Hochman, 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 Michael Hochman Line = papers co-authored together Michael Hochman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014106
2 201062
3
A characterization of the entropies of multidimensional shifts of finite type
201243
4 200839
5 202033
6 201030
7
Equidistribution from fractal measures
201521
8 201012
9 201311
10 201911
11 20099
12 20096
13 20115
14 20134
15 20134
16
Dynamics on fractal measures
20103
17 20153
18 20223
19
Upcrossing inequalities for stationary sequences and applications to entropy and complexity
20061
20 20161

About Michael Hochman

Michael Hochman is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (13 papers), Cellular Automata and Applications (5 papers), Advanced Topology and Set Theory (5 papers), Computability, Logic, AI Algorithms (4 papers), semigroups and automata theory (4 papers), Advanced Mathematical Theories and Applications (3 papers), Cardiac Imaging and Diagnostics (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Mathematical Physics (259 citations), Computational Theory and Mathematics (130 citations), Geometry and Topology (69 citations), Statistical and Nonlinear Physics (81 citations) and Ophthalmology (30 citations). Michael Hochman has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Tom Meyerovitch, Jean-René Chazottes, Pablo Shmerkin, Gabriel S. Ferreira, Blake K. Williamson, Mark Gallardo, Jaime E. Dickerson, Michael Damron, Steven D. Vold and J. M. Gambaudo. Their work appears in journals such as Ergodic Theory and Dynamical Systems, The Annals of Probability, Annals of Mathematics, Communications in Mathematical Physics and Inventiones mathematicae.

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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