Michael Lesnick
Impact in
- Mathematical Physics top 5%
- Homotopy and Cohomology in Algebraic Topology
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- Topological and Geometric Data Analysis
Papers in
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- Topological and Geometric Data Analysis 16
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- Homotopy and Cohomology in Algebraic Topology 11
- Co-authors
- Ulrich Bauer (4 shared papers)Yuan Yao (1 shared paper)Gregory R. Bowman (1 shared paper)Vijay S. Pande (1 shared paper)Jian Zhong Sun (1 shared paper)Gunnar Carlsson (1 shared paper)Xuhui Huang (1 shared paper)Leonidas Guibas (1 shared paper)
- Journals
- SIAM Journal on Applied Algebra and Geometry (2 papers)Foundations of Computational Mathematics (2 papers)Network Neuroscience (1 paper)Discrete & Computational Geometry (1 paper)Cognitive Science (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Michael Lesnick
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 55
- Mathematical Physics 176
- Computational Theory and Mathematics 321
- Biophysics 49
- Radiology, Nuclear Medicine and Imaging 102
- Geometry and Topology 41
Countries citing papers authored by Michael Lesnick
This map shows the geographic impact of Michael Lesnick'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 Lesnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lesnick more than expected).
Fields of papers citing papers by Michael Lesnick
This network shows the impact of papers produced by Michael Lesnick. 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 Lesnick. The network helps show where Michael Lesnick may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael Lesnick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 105 | |
| 2 | 2015 | 97 | |
| 3 | 2018 | 34 | |
| 4 | 2014 | 33 | |
| 5 | 2013 | 24 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 3 | |
| 13 | Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments. | 2018 | 2 |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 𝓁 p -Distances on Multiparameter Persistence Modules. | 2021 | 1 |
| 18 | 2023 | 0 |
About Michael Lesnick
Michael Lesnick is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Neurology, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 375 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (16 papers), Homotopy and Cohomology in Algebraic Topology (11 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Computational Geometry and Mesh Generation (2 papers), Commutative Algebra and Its Applications (1 paper), Child and Animal Learning Development (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Mathematical Physics (176 citations), Computational Theory and Mathematics (321 citations), Biophysics (49 citations), Radiology, Nuclear Medicine and Imaging (102 citations) and Geometry and Topology (41 citations). Michael Lesnick has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Ulrich Bauer, Yuan Yao, Gregory R. Bowman, Vijay S. Pande, Jian Zhong Sun, Gunnar Carlsson, Xuhui Huang, Leonidas Guibas, Cameron Thomas Ellis and Jonathan D. Cohen. Their work appears in journals such as SIAM Journal on Applied Algebra and Geometry, Foundations of Computational Mathematics, Network Neuroscience, Discrete & Computational Geometry and Cognitive Science.
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.