Sumit K. Nath
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 3
- Medical Image Segmentation Techniques 2
- Image and Signal Denoising Methods 2
- Advanced Data Compression Techniques 1
- Advanced Image Processing Techniques 1
- Video Surveillance and Tracking Methods 1
- Advanced Vision and Imaging 1
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- Optical Imaging and Spectroscopy Techniques 1
- Co-authors
- Kannappan Palaniappan (4 shared papers)Filiz Bunyak (3 shared papers)Tobias I. Baskin (1 shared paper)R. M. Vasu (1 shared paper)Ridha Oueslati (1 shared paper)Michael D. Feldman (1 shared paper)Wiem Lassoued (1 shared paper)William M. F. Lee (1 shared paper)
- Journals
- Optics Communications (1 paper)Histopathology (1 paper)Signal Processing Image Communication (1 paper)Journal of Multimedia (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Sumit K. Nath
7 papers receiving 250 citations
Peers
Comparison fields: 5 of 60
- Biophysics 100
- Computer Vision and Pattern Recognition 154
- Media Technology 47
- Artificial Intelligence 60
- Aerospace Engineering 27
Countries citing papers authored by Sumit K. Nath
This map shows the geographic impact of Sumit K. Nath'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 Sumit K. Nath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit K. Nath more than expected).
Fields of papers citing papers by Sumit K. Nath
This network shows the impact of papers produced by Sumit K. Nath. 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 Sumit K. Nath. The network helps show where Sumit K. Nath may publish in the future.
Co-authors
The 12 scholars most cited alongside Sumit K. Nath, 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 | 2006 | 92 | |
| 2 | 2007 | 64 | |
| 3 | 2006 | 48 | |
| 4 | 2011 | 26 | |
| 5 | 1999 | 18 | |
| 6 | 2009 | 7 | |
| 7 | 2005 | 4 |
About Sumit K. Nath
Sumit K. Nath is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Biophysics and Aerospace Engineering, having authored 7 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Data Compression Techniques (1 paper), Advanced Image Processing Techniques (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Biophysics (100 citations), Computer Vision and Pattern Recognition (154 citations), Media Technology (47 citations), Artificial Intelligence (60 citations) and Aerospace Engineering (27 citations). Sumit K. Nath has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Kannappan Palaniappan, Filiz Bunyak, Tobias I. Baskin, R. M. Vasu, Ridha Oueslati, Michael D. Feldman, Wiem Lassoued, William M. F. Lee, Jianliang Zhu and Badrinath Roysam. Their work appears in journals such as Optics Communications, Histopathology, Signal Processing Image Communication, Journal of Multimedia and Lecture notes in computer science.
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.