Paul Bendich
Impact in
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- Topological and Geometric Data Analysis
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Topological and Geometric Data Analysis 22
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- Homotopy and Cohomology in Algebraic Topology 8
- Co-authors
- Herbert Edelsbrunner (4 shared papers)John Harer (10 shared papers)J. S. Marron (1 shared paper)Ezra Miller (2 shared papers)Michael Kerber (1 shared paper)Sayan Mukherjee (6 shared papers)Bei Wang (3 shared papers)Dmitriy Morozov (2 shared papers)
- Journals
- Electronic Journal of Statistics (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)The Annals of Applied Statistics (1 paper)Pattern Recognition Letters (1 paper)Inverse Problems (1 paper)
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Paul Bendich
21 papers receiving 340 citations
Peers
Comparison fields: 5 of 64
- Computational Theory and Mathematics 276
- Biophysics 93
- Mathematical Physics 61
- Computational Mathematics 3
- Computer Graphics and Computer-Aided Design 13
Countries citing papers authored by Paul Bendich
This map shows the geographic impact of Paul Bendich'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 Paul Bendich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Bendich more than expected).
Fields of papers citing papers by Paul Bendich
This network shows the impact of papers produced by Paul Bendich. 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 Paul Bendich. The network helps show where Paul Bendich may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Bendich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 127 | |
| 2 | 2010 | 65 | |
| 3 | 2007 | 43 | |
| 4 | 2015 | 26 | |
| 5 | 1959 | 15 | |
| 6 | 2012 | 15 | |
| 7 | 2010 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2015 | 9 | |
| 10 | Probabilistic Fréchet Means and Statistics on Vineyards. | 2013 | 5 |
| 11 | 2019 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2011 | 4 | |
| 14 | Stratification Learning through Homology Inference | 2010 | 2 |
| 15 | 2007 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | Versions of Intersection and Local Homology | 2008 | 1 |
| 19 | 2020 | 1 | |
| 20 | 2011 | 1 |
About Paul Bendich
Paul Bendich is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 24 papers that have together received 353 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (22 papers), Homotopy and Cohomology in Algebraic Topology (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Cell Image Analysis Techniques (4 papers), Data Visualization and Analytics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Geochemistry and Geologic Mapping (1 paper) and Leprosy Research and Treatment (1 paper). The work is most often cited by research in Computational Theory and Mathematics (276 citations), Biophysics (93 citations), Mathematical Physics (61 citations), Computational Mathematics (3 citations) and Computer Graphics and Computer-Aided Design (13 citations). Paul Bendich has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Herbert Edelsbrunner, John Harer, J. S. Marron, Ezra Miller, Michael Kerber, Sayan Mukherjee, Bei Wang, Dmitriy Morozov, David Cohen‐Steiner and Elizabeth Munch. Their work appears in journals such as Electronic Journal of Statistics, IEEE Transactions on Visualization and Computer Graphics, The Annals of Applied Statistics, Pattern Recognition Letters and Inverse Problems.
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.