Jayant Shah
- Computer Vision and Pattern Recognition top 0.2%
- Computational Mechanics top 1%
- Media Technology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Mechanics of Materials top 5%
- Co-authors
- David MumfordHomer PienPeter W. MichorLaurent YounèsZahir TariAndrea BraidesRoberto AlicandroMehdi S. Zarghamee
- Topics
- Medical Image Segmentation Techniques (9 papers)Algebraic Geometry and Number Theory (6 papers)3D Shape Modeling and Analysis (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Proceedings of the National Academy of SciencesAnnals of MathematicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesAustriaMexico
In The Last Decade
Jayant Shah
29 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 2.7k
- Computational Mechanics 689
- Media Technology 488
- Radiology, Nuclear Medicine and Imaging 391
- Mechanics of Materials 357
Countries citing papers authored by Jayant Shah
This map shows the geographic impact of Jayant Shah'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 Jayant Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayant Shah more than expected).
Fields of papers citing papers by Jayant Shah
This network shows the impact of papers produced by Jayant Shah. 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 Jayant Shah. The network helps show where Jayant Shah may publish in the future.
Co-authorship network of co-authors of Jayant Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Jayant Shah. A scholar is included among the top collaborators of Jayant Shah 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 Jayant Shah. Jayant Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 110 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | Approximation of non-convex functionals in GBV | 1 |
| 10 | 66 | |
| 11 | 12 | |
| 12 | 11 | |
| 13 | Optimal approximations by piecewise smooth functions and associated variational problemsbreakdown → | 3431 |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 48 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 1 |
About Jayant Shah
Jayant Shah is a scholar working on Computational Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 3.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Algebraic Geometry and Number Theory (6 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (488 citations) and Computer Graphics and Computer-Aided Design (124 citations). Jayant Shah has collaborated with scholars based in United States, Austria and Mexico. Frequent co-authors include David Mumford, Homer Pien, Peter W. Michor, Laurent Younès, Zahir Tari, Andrea Braides, Roberto Alicandro, Mehdi S. Zarghamee, Mukund Desai and John M. Gauch. 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.