Peter Bubenik
Impact in
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- Topological and Geometric Data Analysis
- Biophysics top 2%
- 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 15
- Co-authors
- Paweł Dłotko (1 shared paper)Peter T. Kim (2 shared papers)Moo K. Chung (1 shared paper)Yuliy Baryshnikov (1 shared paper)Matthew Kahle (1 shared paper)George A. Bubenik (1 shared paper)Eric A. Vitriol (1 shared paper)Vidit Nanda (1 shared paper)
- Journals
- Homology Homotopy and Applications (3 papers)Scientific Reports (1 paper)Foundations of Computational Mathematics (1 paper)Mathematische Zeitschrift (1 paper)Journal of Multivariate Analysis (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Peter Bubenik
32 papers receiving 602 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 532
- Biophysics 141
- Mathematical Physics 140
- Radiology, Nuclear Medicine and Imaging 151
- Computational Mathematics 3
Countries citing papers authored by Peter Bubenik
This map shows the geographic impact of Peter Bubenik'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 Peter Bubenik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bubenik more than expected).
Fields of papers citing papers by Peter Bubenik
This network shows the impact of papers produced by Peter Bubenik. 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 Peter Bubenik. The network helps show where Peter Bubenik may publish in the future.
Co-authors
The 22 scholars most cited alongside Peter Bubenik, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 254 | |
| 2 | 2016 | 91 | |
| 3 | 2009 | 57 | |
| 4 | 2007 | 51 | |
| 5 | 2014 | 39 | |
| 6 | 2013 | 19 | |
| 7 | Statistical topology using persistence landscapes | 2012 | 14 |
| 8 | 2010 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2006 | 7 | |
| 14 | 2008 | 5 | |
| 15 | 2005 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2018 | 4 |
About Peter Bubenik
Peter Bubenik is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Radiology, Nuclear Medicine and Imaging, Biophysics and Geometry and Topology, having authored 34 papers that have together received 633 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (22 papers), Homotopy and Cohomology in Algebraic Topology (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Cell Image Analysis Techniques (6 papers), Algebraic structures and combinatorial models (3 papers), Advanced Topics in Algebra (3 papers), Single-cell and spatial transcriptomics (2 papers) and Digital Image Processing Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (532 citations), Biophysics (141 citations), Mathematical Physics (140 citations), Radiology, Nuclear Medicine and Imaging (151 citations) and Computational Mathematics (3 citations). Peter Bubenik has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Paweł Dłotko, Peter T. Kim, Moo K. Chung, Yuliy Baryshnikov, Matthew Kahle, George A. Bubenik, Eric A. Vitriol, Vidit Nanda, Giseon Heo and Paul Bendich. Their work appears in journals such as Homology Homotopy and Applications, Scientific Reports, Foundations of Computational Mathematics, Mathematische Zeitschrift and Journal of Multivariate Analysis.
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.