Samarjit Roy
Impact in
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- Music and Audio Processing
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- Cholangiocarcinoma and Gallbladder Cancer Studies
- Pediatric Hepatobiliary Diseases and Treatments
Papers in ⓘ
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- Music Technology and Sound Studies 9
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- Neuroscience and Music Perception 6
- Co-authors
- Vijay K. Shukla (5 shared papers)M P Vaidya (4 shared papers)Debashis De (14 shared papers)Dhiman Sarkar (3 shared papers)Rashmi Jindal (8 shared papers)N C Nayak (2 shared papers)Saurabh Varshney (1 shared paper)Ali Akbar Shaikh (1 shared paper)
- Journals
- European Journal of Cancer Prevention (2 papers)Gut (2 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)Postgraduate Medical Journal (1 paper)Soft Computing (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Samarjit Roy
39 papers receiving 373 citations
Peers
Comparison fields: 5 of 98
- Signal Processing 38
- Surgery 142
- Pulmonary and Respiratory Medicine 90
- Dermatology 22
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Samarjit Roy
This map shows the geographic impact of Samarjit Roy'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 Samarjit Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarjit Roy more than expected).
Fields of papers citing papers by Samarjit Roy
This network shows the impact of papers produced by Samarjit Roy. 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 Samarjit Roy. The network helps show where Samarjit Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Samarjit Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 100 | |
| 2 | 1993 | 45 | |
| 3 | 2020 | 31 | |
| 4 | 1985 | 19 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2012 | 10 | |
| 10 | 2000 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 1981 | 9 | |
| 13 | 2012 | 8 | |
| 14 | 1986 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 1976 | 7 | |
| 18 | 1976 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2020 | 5 |
About Samarjit Roy
Samarjit Roy is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Infectious Diseases and Surgery, having authored 41 papers that have together received 395 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (9 papers), Music and Audio Processing (8 papers), Neuroscience and Music Perception (6 papers), Dermatology and Skin Diseases (4 papers), Autoimmune Bullous Skin Diseases (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Liver Disease and Transplantation (2 papers) and Leptospirosis research and findings (2 papers). The work is most often cited by research in Signal Processing (38 citations), Surgery (142 citations), Pulmonary and Respiratory Medicine (90 citations), Dermatology (22 citations) and Computer Vision and Pattern Recognition (50 citations). Samarjit Roy has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Vijay K. Shukla, M P Vaidya, Debashis De, Dhiman Sarkar, Rashmi Jindal, N C Nayak, Saurabh Varshney, Ali Akbar Shaikh, Laxmi Pandey and Manas Kumar Maiti. Their work appears in journals such as European Journal of Cancer Prevention, Gut, Journal of Ambient Intelligence and Humanized Computing, Postgraduate Medical Journal and Soft Computing.
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.