P. V. Subrahmanyam
- Geometry and Topology top 1%
- Computational Theory and Mathematics top 2%
- Applied Mathematics top 5%
- Statistics and Probability top 5%
- Astronomy and Astrophysics top 10%
- Co-authors
- Ivan L. ReillyM. K. VamanamurthyU. MadhvanathBola Sadashiva Satish RaoK. NarasimhanWalt ScacchiRandy H. KatzGopal Das
- Topics
- Fixed Point Theorems Analysis (17 papers)Functional Equations Stability Results (9 papers)Optimization and Variational Analysis (5 papers)
- Journals
- Information SciencesFuzzy Sets and SystemsJournal of Mathematical Analysis and Applications
- Partner nations
- IndiaUnited StatesNew Zealand
In The Last Decade
P. V. Subrahmanyam
37 papers receiving 588 citations
Peers
Comparison fields: 5 of 67
- Geometry and Topology 504
- Computational Theory and Mathematics 200
- Applied Mathematics 133
- Statistics and Probability 75
- Astronomy and Astrophysics 67
Countries citing papers authored by P. V. Subrahmanyam
This map shows the geographic impact of P. V. Subrahmanyam'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 P. V. Subrahmanyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. V. Subrahmanyam more than expected).
Fields of papers citing papers by P. V. Subrahmanyam
This network shows the impact of papers produced by P. V. Subrahmanyam. 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 P. V. Subrahmanyam. The network helps show where P. V. Subrahmanyam may publish in the future.
Co-authorship network of co-authors of P. V. Subrahmanyam
This figure shows the co-authorship network connecting the top 25 collaborators of P. V. Subrahmanyam. A scholar is included among the top collaborators of P. V. Subrahmanyam 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 P. V. Subrahmanyam. P. V. Subrahmanyam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 41 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 52 | |
| 11 | 21 | |
| 12 | 2 | |
| 13 | Relative biological effectiveness of fast neutrons for induction of genetic damage in diploid yeast. | 1 |
| 14 | 4 | |
| 15 | 54 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 117 | |
| 20 | Remarks on some fixed point theorems related to Banach's contraction principle | 51 |
About P. V. Subrahmanyam
P. V. Subrahmanyam is a scholar working on Geometry and Topology, Applied Mathematics and Numerical Analysis, having authored 41 papers that have together received 703 indexed citations. Recurring topics across this work include Fixed Point Theorems Analysis (17 papers), Functional Equations Stability Results (9 papers) and Optimization and Variational Analysis (5 papers). The work is most often cited by research in Geometry and Topology (504 citations), Applied Mathematics (133 citations) and Computational Theory and Mathematics (200 citations). P. V. Subrahmanyam has collaborated with scholars based in India, United States and New Zealand. Frequent co-authors include Ivan L. Reilly, M. K. Vamanamurthy, U. Madhvanath, Bola Sadashiva Satish Rao, K. Narasimhan, Walt Scacchi, Randy H. Katz, Gopal Das, R. I. Sujith and Tim Lieuwen. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Journal of Mathematical Analysis and 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.