Pascal Romon
Impact in
- Applied Mathematics top 5%
- Geometric Analysis and Curvature Flows
- Geometry and Topology top 5%
- Geometry and complex manifolds
- Algebraic Geometry and Number Theory
Papers in
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- Geometric Analysis and Curvature Flows 20
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- Digital Image Processing Techniques 10
- Co-authors
- Frédéric Hélein (4 shared papers)Laurent Alain Najman (2 shared papers)Yukiko Kenmochi⋆ (10 shared papers)Nicolas Passat (5 shared papers)Laurent Hauswirth (2 shared papers)Joaquín Pérez (2 shared papers)David Cœurjolly (6 shared papers)Antonio R�os (1 shared paper)
In The Last Decade
Pascal Romon
33 papers receiving 296 citations
Peers
Comparison fields: 5 of 29
- Applied Mathematics 172
- Geometry and Topology 72
- Computer Vision and Pattern Recognition 66
- Astronomy and Astrophysics 58
- Statistical and Nonlinear Physics 27
Countries citing papers authored by Pascal Romon
This map shows the geographic impact of Pascal Romon'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 Pascal Romon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Romon more than expected).
Fields of papers citing papers by Pascal Romon
This network shows the impact of papers produced by Pascal Romon. 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 Pascal Romon. The network helps show where Pascal Romon may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Romon, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 45 | |
| 2 | 2017 | 37 | |
| 3 | 2000 | 30 | |
| 4 | 2014 | 28 | |
| 5 | 2005 | 17 | |
| 6 | 2017 | 17 | |
| 7 | 2003 | 15 | |
| 8 | 2000 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2006 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2010 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 1993 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2016 | 4 |
About Pascal Romon
Pascal Romon is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 33 papers that have together received 313 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (20 papers), Digital Image Processing Techniques (10 papers), Advanced Differential Geometry Research (6 papers), 3D Shape Modeling and Analysis (4 papers), Computational Geometry and Mesh Generation (2 papers), Geometry and complex manifolds (2 papers), Stochastic processes and statistical mechanics (1 paper) and Polynomial and algebraic computation (1 paper). The work is most often cited by research in Applied Mathematics (172 citations), Geometry and Topology (72 citations), Computer Vision and Pattern Recognition (66 citations), Astronomy and Astrophysics (58 citations) and Statistical and Nonlinear Physics (27 citations). Pascal Romon has collaborated with scholars based in France, Brazil and Spain. Frequent co-authors include Frédéric Hélein, Laurent Alain Najman, Yukiko Kenmochi⋆, Nicolas Passat, Laurent Hauswirth, Joaquín Pérez, David Cœurjolly, Antonio R�os, Ildefonso Castro and Jacques‐Olivier Lachaud. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Transactions of the American Mathematical Society, Computer Graphics Forum, Journal of Mathematical Analysis and Applications and Discrete Applied Mathematics.
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.