C. Ketterer
Impact in
- Applied Mathematics top 5%
- Geometric Analysis and Curvature Flows
- Nonlinear Partial Differential Equations
- Point processes and geometric inequalities
- Geometry and Topology top 10%
- Geometry and complex manifolds
Papers in
-
- Geometric Analysis and Curvature Flows 14
- Point processes and geometric inequalities 4
- Nonlinear Partial Differential Equations 4
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- Advanced Differential Geometry Research 7
- Co-authors
- Andrea Mondino (1 shared paper)Vitali Kapovitch (4 shared papers)Tapio Rajala (1 shared paper)Kazumasa Kuwada (1 shared paper)Shin‐ichi Ohta (1 shared paper)Nicola Gigli (1 shared paper)Eric Woolgar (1 shared paper)Robert J. McCann (1 shared paper)
In The Last Decade
C. Ketterer
15 papers receiving 88 citations
Peers
Comparison fields: 5 of 13
- Applied Mathematics 91
- Geometry and Topology 54
- Astronomy and Astrophysics 24
- Mathematical Physics 11
- Theoretical Computer Science 1
Countries citing papers authored by C. Ketterer
This map shows the geographic impact of C. Ketterer'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 C. Ketterer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Ketterer more than expected).
Fields of papers citing papers by C. Ketterer
This network shows the impact of papers produced by C. Ketterer. 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 C. Ketterer. The network helps show where C. Ketterer may publish in the future.
Co-authors
The 10 scholars most cited alongside C. Ketterer, 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 | 2015 | 23 | |
| 2 | 2018 | 14 | |
| 3 | 2020 | 12 | |
| 4 | 2021 | 8 | |
| 5 | 2014 | 7 | |
| 6 | 2019 | 6 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2004 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 1 |
About C. Ketterer
C. Ketterer is a scholar working on Applied Mathematics, Astronomy and Astrophysics, Geometry and Topology, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 15 papers that have together received 96 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (14 papers), Advanced Differential Geometry Research (7 papers), Geometry and complex manifolds (7 papers), Point processes and geometric inequalities (4 papers), Nonlinear Partial Differential Equations (4 papers), Advanced MEMS and NEMS Technologies (1 paper), Experimental Learning in Engineering (1 paper) and Stability and Controllability of Differential Equations (1 paper). The work is most often cited by research in Applied Mathematics (91 citations), Geometry and Topology (54 citations), Astronomy and Astrophysics (24 citations), Mathematical Physics (11 citations) and Theoretical Computer Science (1 citation). C. Ketterer has collaborated with scholars based in Germany, Canada and Japan. Frequent co-authors include Andrea Mondino, Vitali Kapovitch, Tapio Rajala, Kazumasa Kuwada, Shin‐ichi Ohta, Nicola Gigli, Eric Woolgar, Robert J. McCann, Karl‐Theodor Sturm and Shouhei Honda. Their work appears in journals such as Nonlinear Analysis, Communications in Analysis and Geometry, Journal of Topology and Analysis, Mathematische Zeitschrift and Journal of the London Mathematical Society.
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.