Punam K. Saha
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Orthopedics and Sports Medicine top 0.2%
- Biomedical Engineering top 5%
- Surgery top 5%
- Co-authors
- Jayaram K. UdupaFélix W. WehrliB.B. ChaudhuriBryon R. GombergHee Kwon SongDewey OdhnerGunilla BorgeforsGabriella Sanniti di Baja
- Topics
- Medical Image Segmentation Techniques (94 papers)Medical Imaging Techniques and Applications (62 papers)Bone health and osteoporosis research (47 papers)
- Cited by
- Orthopedics and Sports MedicineComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Pattern Analysis and Machine IntelligenceAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Punam K. Saha
196 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 2.3k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Orthopedics and Sports Medicine 1.8k
- Biomedical Engineering 886
- Surgery 581
Countries citing papers authored by Punam K. Saha
This map shows the geographic impact of Punam K. Saha'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 Punam K. Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punam K. Saha more than expected).
Fields of papers citing papers by Punam K. Saha
This network shows the impact of papers produced by Punam K. Saha. 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 Punam K. Saha. The network helps show where Punam K. Saha may publish in the future.
Co-authorship network of co-authors of Punam K. Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Punam K. Saha. A scholar is included among the top collaborators of Punam K. Saha 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 Punam K. Saha. Punam K. Saha 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 | 10 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 34 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 4 | |
| 15 | 69 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 17 | |
| 20 | 77 |
About Punam K. Saha
Punam K. Saha is a scholar working on Orthopedics and Sports Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 207 papers that have together received 5.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (94 papers), Medical Imaging Techniques and Applications (62 papers) and Bone health and osteoporosis research (47 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.8k citations), Computer Vision and Pattern Recognition (2.3k citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Punam K. Saha has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Jayaram K. Udupa, Félix W. Wehrli, B.B. Chaudhuri, Bryon R. Gomberg, Hee Kwon Song, Dewey Odhner, Gunilla Borgefors, Gabriella Sanniti di Baja, Eric A. Hoffman and D. Dutta Majumder. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal of Respiratory and Critical Care Medicine.
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.