Jayant Shah

6.0k total citations · 1 hit paper
30 papers, 3.8k citations indexed

About

Jayant Shah is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Jayant Shah has authored 30 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Geometry and Topology. Recurrent topics in Jayant Shah's work include Medical Image Segmentation Techniques (9 papers), Algebraic Geometry and Number Theory (6 papers) and 3D Shape Modeling and Analysis (6 papers). Jayant Shah is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Algebraic Geometry and Number Theory (6 papers) and 3D Shape Modeling and Analysis (6 papers). Jayant Shah collaborates with scholars based in United States, Austria and Mexico. Jayant Shah's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Mathematics and Communications on Pure and Applied Mathematics.

In The Last Decade

Jayant Shah

29 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimal approximations by piecewise smooth functions and associated variational problems

1989 3.4k citations David Mumford, Jayant Shah Communications on Pure and Applied Mathematics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jayant Shah United States	12	2.7k	689	488	391	357	30	3.8k
Joachim Weickert Germany	18	2.8k 1.0×	652 0.9×	670 1.4×	573 1.5×	111 0.3×	39	3.9k
Gilles Aubert France	28	4.4k 1.6×	1.5k 2.2×	1.0k 2.1×	623 1.6×	156 0.4×	105	5.9k
Changfeng Gui United States	24	2.1k 0.8×	270 0.4×	459 0.9×	538 1.4×	107 0.3×	85	5.1k
Selim Esedoḡlu United States	20	2.4k 0.9×	921 1.3×	478 1.0×	322 0.8×	101 0.3×	41	3.2k
Jianhong Shen United States	21	3.5k 1.3×	1.1k 1.6×	623 1.3×	206 0.5×	67 0.2×	68	4.5k
Joachim Weickert Germany	35	4.5k 1.7×	697 1.0×	947 1.9×	615 1.6×	70 0.2×	118	5.8k
R. Malladi United States	18	2.8k 1.0×	709 1.0×	409 0.8×	549 1.4×	44 0.1×	33	3.7k
Xue‐Cheng Tai Norway	38	3.5k 1.3×	2.4k 3.5×	865 1.8×	480 1.2×	545 1.5×	202	6.3k
Yunmei Chen United States	29	1.2k 0.4×	775 1.1×	165 0.3×	601 1.5×	71 0.2×	144	4.1k
Guy Gilboa Israel	16	2.1k 0.8×	779 1.1×	788 1.6×	229 0.6×	147 0.4×	48	2.9k

Countries citing papers authored by Jayant Shah

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Shah, Jayant. (2018). Accuracy of Ptolemy’s <i>Almagest</i> in predicting solar eclipses. 3(1). 7–29. 1 indexed citations

2.

Shah, Jayant. (2013). An H2 Riemannian metric on the space of planar curves modulo similitudes. Advances in Applied Mathematics. 51(4). 483–506. 2 indexed citations

3.

Younès, Laurent, Peter W. Michor, Jayant Shah, & David Mumford. (2008). A metric on shape space with explicit geodesics. Rendiconti Lincei Matematica e Applicazioni. 19(1). 25–57. 110 indexed citations

4.

Shah, Jayant. (2007). 𝐻^{𝑜}-type Riemannian metrics on the space of planar curves. Quarterly of Applied Mathematics. 66(1). 123–137. 11 indexed citations

5.

Desai, Mukund, David N. Kennedy, Rami Mangoubi, et al.. (2006). Model-Based Variational Smoothing and Segmentation for Diffusion Tensor Imaging in the Brain. Neuroinformatics. 4(3). 217–234. 4 indexed citations

6.

Shah, Jayant. (2004). Gray skeletons and segmentation of shapes. Computer Vision and Image Understanding. 99(1). 96–109. 11 indexed citations

7.

Shah, Jayant. (2000). Riemannian Drums, Anisotropic Curve Evolution, and Segmentation. Journal of Visual Communication and Image Representation. 11(2). 142–153. 9 indexed citations

8.

Tarı, Sibel & Jayant Shah. (2000). Nested Local Symmetry Set. Computer Vision and Image Understanding. 79(2). 267–280. 2 indexed citations

9.

Braides, Andrea, et al.. (1998). Approximation of non-convex functionals in GBV. OpenGrey (Institut de l'Information Scientifique et Technique). 7. 355–8. 1 indexed citations

10.

Tari, Zahir, Jayant Shah, & Homer Pien. (1997). Extraction of Shape Skeletons from Grayscale Images. Computer Vision and Image Understanding. 66(2). 133–146. 66 indexed citations

11.

Gauch, John M., Homer Pien, & Jayant Shah. (1994). <title>Hybrid boundary-based and region-based deformable models for biomedical image segmentation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2299. 72–83. 12 indexed citations

12.

Shah, Jayant. (1992). Properties of Energy-Minimizing Segmentations. SIAM Journal on Control and Optimization. 30(1). 99–111. 11 indexed citations

13.

Mumford, David & Jayant Shah. (1989). Optimal approximations by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics. 42(5). 577–685. 3431 indexed citations breakdown →

14.

Shah, Jayant. (1981). Degenerations of 𝐾3 surfaces of degree 4. Transactions of the American Mathematical Society. 263(2). 271–308. 18 indexed citations

15.

Shah, Jayant. (1981). Stability of two-dimensional local rings. I. Inventiones mathematicae. 64(2). 297–343. 4 indexed citations

16.

Shah, Jayant. (1980). A Complete Moduli Space for K3 Surfaces of Degree 2. Annals of Mathematics. 112(3). 485–485. 48 indexed citations

17.

Shah, Jayant. (1979). Insignificant Limit Singularities of Surfaces and Their Mixed Hodge Structure. Annals of Mathematics. 109(3). 497–497. 9 indexed citations

18.

Shah, Jayant. (1970). Two-dimensional polynomial splines. Numerische Mathematik. 15(1). 1–14. 5 indexed citations

19.

Zarghamee, Mehdi S. & Jayant Shah. (1968). Stability of Spaceframes. Journal of the Engineering Mechanics Division. 94(2). 371–384. 11 indexed citations

20.

Rossow, Edwin C., et al.. (1966). Computer Analysis of the F-111 Wing Assembly. Journal of the Structural Division. 92(6). 405–424. 1 indexed citations

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.

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