Debmalya Sain
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Statistics and Probability top 5%
- Geometry and Topology top 10%
- Co-authors
- Kallol PaulPintu BhuniaRyotaro TanakaLokenath DebnathSourangshu MukhopadhyayT. S. S. R. K. RaoJacek ChmielińskiArup Chattopadhyay
- Topics
- Advanced Banach Space Theory (27 papers)Optimization and Variational Analysis (16 papers)Approximation Theory and Sequence Spaces (16 papers)
In The Last Decade
Debmalya Sain
41 papers receiving 199 citations
Peers
Comparison fields: 5 of 19
- Mathematical Physics 145
- Computational Theory and Mathematics 126
- Applied Mathematics 95
- Statistics and Probability 78
- Geometry and Topology 49
Countries citing papers authored by Debmalya Sain
This map shows the geographic impact of Debmalya Sain'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 Debmalya Sain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debmalya Sain more than expected).
Fields of papers citing papers by Debmalya Sain
This network shows the impact of papers produced by Debmalya Sain. 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 Debmalya Sain. The network helps show where Debmalya Sain may publish in the future.
Co-authorship network of co-authors of Debmalya Sain
This figure shows the co-authorship network connecting the top 25 collaborators of Debmalya Sain. A scholar is included among the top collaborators of Debmalya Sain 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 Debmalya Sain. Debmalya Sain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | Local Approximate Symmetry of Birkhoff�James Orthogonality in Normed Linear Spaces | 1 |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 18 | |
| 20 | 31 |
About Debmalya Sain
Debmalya Sain is a scholar working on Mathematical Physics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 48 papers that have together received 212 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (27 papers), Optimization and Variational Analysis (16 papers) and Approximation Theory and Sequence Spaces (16 papers). The work is most often cited by research in Mathematical Physics (145 citations), Statistics and Probability (78 citations) and Applied Mathematics (95 citations) Debmalya Sain has collaborated with scholars based in India, Spain and Japan. Frequent co-authors include Kallol Paul, Pintu Bhunia, Ryotaro Tanaka, Lokenath Debnath, Sourangshu Mukhopadhyay, T. S. S. R. K. Rao, Jacek Chmieliński, Arup Chattopadhyay, Miguel Martı́n and Mohammad Sal Moslehian. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society and Linear Algebra and its Applications.
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.