Michael Lesnick
Impact in
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- Topological and Geometric Data Analysis
- Computational Drug Discovery Methods
- Mathematical Physics top 10%
- Homotopy and Cohomology in Algebraic Topology
Papers in
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- Topological and Geometric Data Analysis 11
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- Homotopy and Cohomology in Algebraic Topology 7
- Mathematical Dynamics and Fractals 1
- Co-authors
- Gunnar Carlsson (1 shared paper)Yuan Yao (1 shared paper)Leonidas Guibas (1 shared paper)Ulrich Bauer (1 shared paper)Gregory R. Bowman (1 shared paper)Satwinder Singh (1 shared paper)Jian Sun (1 shared paper)Vijay S. Pande (1 shared paper)
- Journals
- Foundations of Computational Mathematics (2 papers)Discrete & Computational Geometry (1 paper)Transactions of the American Mathematical Society (1 paper)Cognitive Science (1 paper)Algebraic & Geometric Topology (1 paper)
- Partner nations
- United StatesAustriaSweden
In The Last Decade
Michael Lesnick
11 papers receiving 249 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 223
- Mathematical Physics 116
- Biophysics 35
- Radiology, Nuclear Medicine and Imaging 72
- Geometry and Topology 24
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 14 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 | 98 | |
| 2 | 2015 | 73 | |
| 3 | 2018 | 28 | |
| 4 | 2014 | 21 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2021 | 1 | |
| 12 | Feature Ratings and Empirical Dimension-Specific Similarity Explain Distinct Aspects of Semantic Similarity Judgments. | 2018 | 0 |
About Michael Lesnick
Michael Lesnick is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Artificial Intelligence, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Homotopy and Cohomology in Algebraic Topology (7 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Mathematical Dynamics and Fractals (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Child and Animal Learning Development (1 paper), Genomics and Chromatin Dynamics (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Computational Theory and Mathematics (223 citations), Mathematical Physics (116 citations), Biophysics (35 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Geometry and Topology (24 citations). Michael Lesnick has collaborated with scholars based in United States, Austria and Sweden. Frequent co-authors include Gunnar Carlsson, Yuan Yao, Leonidas Guibas, Ulrich Bauer, Gregory R. Bowman, Satwinder Singh, Jian Sun, Vijay S. Pande, Xuhui Huang and Jonathan D. Cohen. Their work appears in journals such as Foundations of Computational Mathematics, Discrete & Computational Geometry, Transactions of the American Mathematical Society, Cognitive Science and Algebraic & Geometric Topology.
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.