David Groisser
Impact in
- Geometry and Topology top 5%
- Morphological variations and asymmetry
- Geometry and complex manifolds
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- Computational Geometry and Mesh Generation
Papers in
-
- Morphological variations and asymmetry 6
- Geometry and complex manifolds 3
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- Geometric Analysis and Curvature Flows 4
- Co-authors
- Thomas H. Parker (4 shared papers)Jörg Peters (1 shared paper)Daniel S. Freed (1 shared paper)Hemant D. Tagare (4 shared papers)Oskar Škrinjar (2 shared papers)Armin Schwartzman (5 shared papers)Donal O’Shea (1 shared paper)Sungkyu Jung (2 shared papers)
- Journals
- Journal of Mathematical Imaging and Vision (4 papers)Communications in Mathematical Physics (3 papers)Communications in Analysis and Geometry (2 papers)Transactions of the American Mathematical Society (2 papers)Bernoulli (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
David Groisser
26 papers receiving 319 citations
Peers
Comparison fields: 5 of 50
- Geometry and Topology 138
- Computer Graphics and Computer-Aided Design 40
- Applied Mathematics 97
- Computational Mathematics 5
- Mathematical Physics 61
Countries citing papers authored by David Groisser
This map shows the geographic impact of David Groisser'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 David Groisser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Groisser more than expected).
Fields of papers citing papers by David Groisser
This network shows the impact of papers produced by David Groisser. 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 David Groisser. The network helps show where David Groisser may publish in the future.
Co-authors
The 19 scholars most cited alongside David Groisser, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 58 | |
| 2 | 1989 | 45 | |
| 3 | 2004 | 35 | |
| 4 | 1987 | 31 | |
| 5 | 1989 | 27 | |
| 6 | 2009 | 20 | |
| 7 | 2002 | 17 | |
| 8 | 1984 | 16 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2005 | 13 | |
| 12 | 2006 | 9 | |
| 13 | 1990 | 8 | |
| 14 | 1997 | 6 | |
| 15 | 1993 | 5 | |
| 16 | 1997 | 5 | |
| 17 | SU(2) Yang-Mills-Higgs theory on R〓3〓 | 1983 | 4 |
| 18 | 2016 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2008 | 3 |
About David Groisser
David Groisser is a scholar working on Geometry and Topology, Applied Mathematics, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Mathematical Physics, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Medical Image Segmentation Techniques (4 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Geometric Analysis and Curvature Flows (4 papers), Advanced Numerical Analysis Techniques (4 papers), Black Holes and Theoretical Physics (3 papers), Particle physics theoretical and experimental studies (3 papers) and Geometry and complex manifolds (3 papers). The work is most often cited by research in Geometry and Topology (138 citations), Computer Graphics and Computer-Aided Design (40 citations), Applied Mathematics (97 citations), Computational Mathematics (5 citations) and Mathematical Physics (61 citations). David Groisser has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Thomas H. Parker, Jörg Peters, Daniel S. Freed, Hemant D. Tagare, Oskar Škrinjar, Armin Schwartzman, Donal O’Shea, Sungkyu Jung, Vic Patrangenaru and Michael K. Murray. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Communications in Mathematical Physics, Communications in Analysis and Geometry, Transactions of the American Mathematical Society and Bernoulli.
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.