S. H. Kulkarni
- Mathematical Physics top 10%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 10%
- Algebra and Number Theory
- Computer Vision and Pattern Recognition
- Co-authors
- G. RameshBrijesh VermaM. Thamban NairSebastian SchererPeng YinBalmohan V. LimayeK. C. SivakumarРамачандран Баласубраманиан
- Topics
- Holomorphic and Operator Theory (15 papers)Advanced Topics in Algebra (14 papers)Matrix Theory and Algorithms (13 papers)
- Journals
- Fuzzy Sets and SystemsJournal of Mathematical Analysis and ApplicationsAmerican Mathematical Monthly
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
S. H. Kulkarni
37 papers receiving 175 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 101
- Applied Mathematics 97
- Computational Theory and Mathematics 65
- Algebra and Number Theory 56
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by S. H. Kulkarni
This map shows the geographic impact of S. H. Kulkarni'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 S. H. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. H. Kulkarni more than expected).
Fields of papers citing papers by S. H. Kulkarni
This network shows the impact of papers produced by S. H. Kulkarni. 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 S. H. Kulkarni. The network helps show where S. H. Kulkarni may publish in the future.
Co-authorship network of co-authors of S. H. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of S. H. Kulkarni. A scholar is included among the top collaborators of S. H. Kulkarni 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 S. H. Kulkarni. S. H. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The long-term trend analysis of rainfall data from 1901 to 2015 for Maharashtra and Goa region from India | 4 |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | Approximation numbers for relatively bounded operators | 0 |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | An analogue of the Riesz-representation theorem. | 1 |
| 15 | BOUNDARIES AND CHOQUET SETS FOR REAL SUBSPACES OF C(X) | 1 |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 0 |
About S. H. Kulkarni
S. H. Kulkarni is a scholar working on Algebra and Number Theory, Mathematical Physics and Applied Mathematics, having authored 47 papers that have together received 202 indexed citations. Recurring topics across this work include Holomorphic and Operator Theory (15 papers), Advanced Topics in Algebra (14 papers) and Matrix Theory and Algorithms (13 papers). The work is most often cited by research in Algebra and Number Theory (56 citations), Mathematical Physics (101 citations) and Applied Mathematics (97 citations). S. H. Kulkarni has collaborated with scholars based in India, Australia and United States. Frequent co-authors include G. Ramesh, Brijesh Verma, M. Thamban Nair, Sebastian Scherer, Peng Yin, Balmohan V. Limaye, K. C. Sivakumar, Рамачандран Баласубраманиан, Deepak Gupta and R. Balasubramanian. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Mathematical Analysis and Applications and American Mathematical Monthly.
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.