Shantanu Joshi
Impact in
- Geometry and Topology top 2%
- Morphological variations and asymmetry
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Face and Expression Recognition
Papers in
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- Morphological variations and asymmetry 2
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- Image Retrieval and Classification Techniques 2
- Image and Signal Denoising Methods 1
- Co-authors
- Chao Lu (1 shared paper)Stephen M. Pizer (1 shared paper)P. Thomas Fletcher (1 shared paper)Anuj Srivastava (2 shared papers)Ian H. Jermyn (1 shared paper)Martin Lindberg (1 shared paper)Takanobu Amano (1 shared paper)A. Vaivads (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Geophysical Research Letters (1 paper)Durham Research Online (Durham University) (1 paper)The 2006 IEEE International Joint Conference on Neural Network Proceedings (1 paper)
- Partner nations
- United StatesSwedenLatvia
In The Last Decade
Shantanu Joshi
5 papers receiving 545 citations
Shantanu Joshi's Hit Papers
Peers
Comparison fields: 5 of 91
- Geometry and Topology 221
- Computer Vision and Pattern Recognition 292
- Computational Mathematics 8
- Computational Mechanics 98
- Statistics and Probability 37
Countries citing papers authored by Shantanu Joshi
This map shows the geographic impact of Shantanu Joshi'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 Shantanu Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantanu Joshi more than expected).
Fields of papers citing papers by Shantanu Joshi
This network shows the impact of papers produced by Shantanu Joshi. 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 Shantanu Joshi. The network helps show where Shantanu Joshi may publish in the future.
Co-authors
The 11 scholars most cited alongside Shantanu Joshi, 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 | Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape Hit paper breakdown → | 2004 | 460 |
| 2 | 2007 | 114 | |
| 3 | 2024 | 5 | |
| 4 | 2006 | 1 | |
| 5 | 2004 | 1 |
About Shantanu Joshi
Shantanu Joshi is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Computer Networks and Communications, Astronomy and Astrophysics and Control and Systems Engineering, having authored 5 papers that have together received 581 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (2 papers), Image Retrieval and Classification Techniques (2 papers), Ionosphere and magnetosphere dynamics (1 paper), Advanced Scientific Research Methods (1 paper), Control Systems and Identification (1 paper), Neural Networks and Applications (1 paper), Earthquake Detection and Analysis (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Geometry and Topology (221 citations), Computer Vision and Pattern Recognition (292 citations), Computational Mathematics (8 citations), Computational Mechanics (98 citations) and Statistics and Probability (37 citations). Shantanu Joshi has collaborated with scholars based in United States, Sweden and Latvia. Frequent co-authors include Chao Lu, Stephen M. Pizer, P. Thomas Fletcher, Anuj Srivastava, Ian H. Jermyn, Martin Lindberg, Takanobu Amano, A. Vaivads, Savvas Raptis and Rodney G. Roberts. Their work appears in journals such as IEEE Transactions on Medical Imaging, Geophysical Research Letters, Durham Research Online (Durham University) and The 2006 IEEE International Joint Conference on Neural Network Proceedings.
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.