Ritwik Kumar
Impact in
- Computational Mathematics top 10%
- Structural Biology top 10%
Papers in
-
- Face recognition and analysis 6
- Face and Expression Recognition 5
- Medical Image Segmentation Techniques 4
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 2
-
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Hanspeter Pfister (4 shared papers)Baba C. Vemuri (7 shared papers)Arunava Banerjee (5 shared papers)Amelio Vázquez-Reina (1 shared paper)Tanveer Syeda-Mahmood (7 shared papers)David Beymer (5 shared papers)Fei Wang (2 shared papers)Suman K. Mitra (2 shared papers)
- Journals
- Pattern Analysis and Applications (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (5 papers)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Ritwik Kumar
19 papers receiving 351 citations
Peers
Comparison fields: 5 of 67
- Computational Mathematics 10
- Structural Biology 21
- Computer Vision and Pattern Recognition 236
- Biophysics 46
- Signal Processing 45
Countries citing papers authored by Ritwik Kumar
This map shows the geographic impact of Ritwik Kumar'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 Ritwik Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritwik Kumar more than expected).
Fields of papers citing papers by Ritwik Kumar
This network shows the impact of papers produced by Ritwik Kumar. 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 Ritwik Kumar. The network helps show where Ritwik Kumar may publish in the future.
Co-authors
The 22 scholars most cited alongside Ritwik Kumar, 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 | 2010 | 59 | |
| 2 | 2009 | 43 | |
| 3 | 2011 | 39 | |
| 4 | 2011 | 38 | |
| 5 | 2011 | 28 | |
| 6 | 2009 | 28 | |
| 7 | 2013 | 24 | |
| 8 | 2008 | 16 | |
| 9 | 2010 | 13 | |
| 10 | 2010 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2007 | 12 | |
| 13 | 2008 | 12 | |
| 14 | 2009 | 10 | |
| 15 | 2015 | 7 | |
| 16 | 2013 | 5 | |
| 17 | 2005 | 4 | |
| 18 | 2013 | 1 | |
| 19 | REP-2008-451: Face Relighting for Recognition | 2008 | 1 |
About Ritwik Kumar
Ritwik Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 19 papers that have together received 365 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers), Medical Image Segmentation Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Computational Mathematics (10 citations), Structural Biology (21 citations), Computer Vision and Pattern Recognition (236 citations), Biophysics (46 citations) and Signal Processing (45 citations). Ritwik Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Hanspeter Pfister, Baba C. Vemuri, Arunava Banerjee, Amelio Vázquez-Reina, Tanveer Syeda-Mahmood, David Beymer, Fei Wang, Suman K. Mitra, Angelos Barmpoutis and Paul R. Carney. Their work appears in journals such as Pattern Analysis and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.