Michael Hochman
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Geometry and Topology top 10%
- Economics and Econometrics
- Co-authors
- Jean-René ChazottesPablo ShmerkinMark GallardoJaime E. DickersonGabriel S. FerreiraSteven D. VoldBlake K. WilliamsonMichael Damron
- Topics
- Mathematical Dynamics and Fractals (12 papers)Advanced Topology and Set Theory (5 papers)semigroups and automata theory (4 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Michael Hochman
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 65
- Mathematical Physics 221
- Computational Theory and Mathematics 87
- Statistical and Nonlinear Physics 77
- Geometry and Topology 63
- Economics and Econometrics 54
Countries citing papers authored by Michael Hochman
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
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-authorship network of co-authors of Michael Hochman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hochman. A scholar is included among the top collaborators of Michael Hochman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Hochman. Michael Hochman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 30 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Equidistribution from fractal measures | 21 |
| 8 | 103 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | Dynamics on fractal measures | 3 |
| 14 | 62 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 39 | |
| 20 | Upcrossing inequalities for stationary sequences and applications to entropy and complexity | 1 |
About Michael Hochman
Michael Hochman is a scholar working on Mathematical Physics, Geometry and Topology and Computational Theory and Mathematics, having authored 20 papers that have together received 352 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (12 papers), Advanced Topology and Set Theory (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Mathematical Physics (221 citations), Geometry and Topology (63 citations) and Statistical and Nonlinear Physics (77 citations). Michael Hochman has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Jean-René Chazottes, Pablo Shmerkin, Mark Gallardo, Jaime E. Dickerson, Gabriel S. Ferreira, Steven D. Vold, Blake K. Williamson, Michael Damron, Edgardo Ugalde and J. M. Gambaudo. Their work appears in journals such as JAMA, Blood and Communications in Mathematical Physics.
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.