Charles Fefferman
- Applied Mathematics top 1%
- Mathematical Physics top 2%
- Computational Theory and Mathematics top 2%
- Geometry and Topology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Harold DonnellyRichard BealsD. H. PhongDavid S. McCormickJames C. RobinsonJosé L. RodrigoMatti LassasSergei Ivanov
- Topics
- Advanced Mathematical Modeling in Engineering (7 papers)Spectral Theory in Mathematical Physics (5 papers)Numerical methods in inverse problems (5 papers)
- Journals
- Proceedings of the National Academy of SciencesAnnals of MathematicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Charles Fefferman
20 papers receiving 625 citations
Peers
Comparison fields: 5 of 49
- Applied Mathematics 587
- Mathematical Physics 476
- Computational Theory and Mathematics 217
- Geometry and Topology 126
- Control and Systems Engineering 83
Countries citing papers authored by Charles Fefferman
This map shows the geographic impact of Charles Fefferman'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 Charles Fefferman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Fefferman more than expected).
Fields of papers citing papers by Charles Fefferman
This network shows the impact of papers produced by Charles Fefferman. 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 Charles Fefferman. The network helps show where Charles Fefferman may publish in the future.
Co-authorship network of co-authors of Charles Fefferman
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Fefferman. A scholar is included among the top collaborators of Charles Fefferman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Fefferman. Charles Fefferman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | Fitting a putative manifold to noisy data | 8 |
| 4 | 71 | |
| 5 | 3 | |
| 6 | Recovering a Feed-Forward Net From Its Output | 3 |
| 7 | 11 | |
| 8 | 45 | |
| 9 | 19 | |
| 10 | 175 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 49 | |
| 14 | 8 | |
| 15 | 82 | |
| 16 | 4 | |
| 17 | 45 | |
| 18 | 215 | |
| 19 | 38 | |
| 20 | 6 |
About Charles Fefferman
Charles Fefferman is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 20 papers that have together received 800 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (7 papers), Spectral Theory in Mathematical Physics (5 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Applied Mathematics (587 citations), Mathematical Physics (476 citations) and Geometry and Topology (126 citations). Charles Fefferman has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Harold Donnelly, Richard Beals, D. H. Phong, David S. McCormick, James C. Robinson, José L. Rodrigo, Matti Lassas, Sergei Ivanov, Hariharan Narayanan and Yaroslav Kurylev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Mathematics and Communications on Pure and 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.