Sarang Joshi
- Computer Vision and Pattern Recognition top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Cognitive Neuroscience top 2%
- Geometry and Topology top 0.5%
- Biomedical Engineering top 5%
- Co-authors
- Michael I. MillerGuido GerigP. Thomas FletcherBrad DavisMatthieu JomierGary E. ChristensenLei WangJohn G. Csernansky
- Topics
- Medical Image Segmentation Techniques (65 papers)Morphological variations and asymmetry (44 papers)Medical Imaging Techniques and Applications (27 papers)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Sarang Joshi
144 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 2.9k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Cognitive Neuroscience 1.2k
- Geometry and Topology 1.1k
- Biomedical Engineering 801
Countries citing papers authored by Sarang Joshi
This map shows the geographic impact of Sarang 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 Sarang Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarang Joshi more than expected).
Fields of papers citing papers by Sarang Joshi
This network shows the impact of papers produced by Sarang 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 Sarang Joshi. The network helps show where Sarang Joshi may publish in the future.
Co-authorship network of co-authors of Sarang Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Sarang Joshi. A scholar is included among the top collaborators of Sarang Joshi 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 Sarang Joshi. Sarang Joshi 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 | 0 | |
| 3 | Electricity Generating Shoes | 0 |
| 4 | Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning. | 2 |
| 5 | 40 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 23 | |
| 18 | 316 | |
| 19 | 174 | |
| 20 | 3 |
About Sarang Joshi
Sarang Joshi is a scholar working on Computational Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 154 papers that have together received 6.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (65 papers), Morphological variations and asymmetry (44 papers) and Medical Imaging Techniques and Applications (27 papers). The work is most often cited by research in Computational Mathematics (142 citations), Computer Vision and Pattern Recognition (2.9k citations) and Geometry and Topology (1.1k citations). Sarang Joshi has collaborated with scholars based in United States, France and India. Frequent co-authors include Michael I. Miller, Guido Gerig, P. Thomas Fletcher, Brad Davis, Matthieu Jomier, Gary E. Christensen, Lei Wang, John G. Csernansky, Ulf Grenander and Stephen M. Pizer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.
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.