Punam Kumar Saha

8.5k citations
228 papers · 6.8k · h-index 44

Impact in

Papers in

Punam Kumar Saha

220 papers receiving 6.5k citations

Peers

Punam Kumar Saha
Comparison fields: 5 of 113
  • Orthopedics and Sports Medicine 1.7k
  • Computer Vision and Pattern Recognition 2.5k
  • Radiology, Nuclear Medicine and Imaging 404
  • Health Informatics 23
  • Computer Graphics and Computer-Aided Design 32
Replace Françoise Peyrin with:
Françoise Peyrin France
Örjan Smedby Sweden
Christopher F. Beaulieu United States
Zeike A. Taylor United Kingdom
Dong Yang United States
Andrew H. Gee United Kingdom
Keelin Murphy Netherlands
Miguel Á. González Ballester Spain
Hiroshi Fujita Japan
Peter F. Niederer Switzerland
Punam Kumar Saha relative to Françoise Peyrin France Françoise Peyrin's profile →
Citations per field
00.5×5×11.5×
Françoise Peyrin · 1×
Citations per year

Countries citing papers authored by Punam Kumar Saha

Since Specialization
Citations

This map shows the geographic impact of Punam Kumar 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 Kumar 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 Kumar Saha more than expected).

Fields of papers citing papers by Punam Kumar Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Punam Kumar 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 Kumar Saha. The network helps show where Punam Kumar Saha may publish in the future.

Co-authors

The 25 scholars most cited alongside Punam Kumar Saha, 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 Punam Kumar Saha Line = papers co-authored together Punam Kumar Saha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015270
2 2000236
3 2007210
4 2001187
5 2001176
6 2006174
7 1994171
8 2002169
9 2006163
10 1996161
11 2003151
12 1997147
13 2002129
14 2002124
15 2002116
16 2000113
17 2004112
18 2000104
19 201296
20 200193

About Punam Kumar Saha

Punam Kumar Saha is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biophysics, having authored 228 papers that have together received 6.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (75 papers), Bone health and osteoporosis research (56 papers), Digital Image Processing Techniques (31 papers), Advanced MRI Techniques and Applications (6 papers), Image and Signal Denoising Methods (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Handwritten Text Recognition Techniques (3 papers) and Fluoride Effects and Removal (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.7k citations), Computer Vision and Pattern Recognition (2.5k citations), Radiology, Nuclear Medicine and Imaging (404 citations), Health Informatics (23 citations) and Computer Graphics and Computer-Aided Design (32 citations). Punam Kumar Saha has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Jayaram K. Udupa, Felix Werner Wehrli, Bidyut Baran Chaudhuri, Bryon R. Gomberg, Hee Kwon Song, Gunilla Borgefors, Dewey Odhner, Gabriella Sanniti di Baja, Eric A. Hoffman and D. Dutta Majumder. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, Computer Vision and Image Understanding, Pattern Recognition and Journal of Magnetic Resonance Imaging.

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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