J. Shah

513 citations
19 papers · 296 · h-index 9

Impact in

Papers in

    • Medical Image Segmentation Techniques 11
    • Image and Object Detection Techniques 3
    • Advanced Vision and Imaging 3
    • Optical measurement and interference techniques 2
    • Generative Adversarial Networks and Image Synthesis 2
    • 3D Shape Modeling and Analysis 4

J. Shah

16 papers receiving 281 citations

Peers

J. Shah
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 229
  • Computer Graphics and Computer-Aided Design 25
  • Media Technology 34
  • Computational Mathematics 2
  • Computational Mechanics 68
Replace Bei Tang with:
Bei Tang United States
Ginmo Chung United States
Georges Koepfler France
Luca Calatroni France
Miyoun Jung South Korea
Evgeny Strekalovskiy Germany
Françoise Dibos France
M.J. Fadili France
A.-R. Mansouri Canada
Nicolas Papadakis France
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Citations per field
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Citations per year

Countries citing papers authored by J. Shah

Since Specialization
Citations

This map shows the geographic impact of J. 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 J. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Shah more than expected).

Fields of papers citing papers by J. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. 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 J. Shah. The network helps show where J. Shah may publish in the future.

Co-authors

The 17 scholars most cited alongside J. Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Shah Line = papers co-authored together J. Shah links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1996143
2 199623
3 200220
4 200219
5 200219
6 200218
7 199616
8 200314
9 200213
10 20023
11 20023
12 20251
13 20011
14 20021
15 20031
16 20061
17 20050
18 20250
19 20020

About J. Shah

J. Shah is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biophysics, having authored 19 papers that have together received 296 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), 3D Shape Modeling and Analysis (4 papers), Image and Object Detection Techniques (3 papers), Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Cell Image Analysis Techniques (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Computer Graphics and Computer-Aided Design (25 citations), Media Technology (34 citations), Computational Mathematics (2 citations) and Computational Mechanics (68 citations). J. Shah has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Homer Pien, Sibel Tarı, John M. Gauch, Zahir Tari, Rami Mangoubi, David N. Kennedy, M. Desai, W.C. Karl, Andrew J. Worth and Arthi Jayaraman. Their work appears in journals such as NeuroImage, IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, ACS Measurement Science Au and OpenMETU (Middle East Technical University).

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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