P. Bhimasankaram
- Computational Theory and Mathematics top 5%
- Algebra and Number Theory
- Electrical and Electronic Engineering
- Applied Mathematics top 10%
- Statistics and Probability top 5%
- Co-authors
- Sujit Kumar MitraDebasis SenguptaC. R. RaoS. Rao JammalamadakaSridhar SeshadriThomas MathewSankar DeS. Ramanathan
- Topics
- Advanced Statistical Methods and Models (6 papers)Matrix Theory and Algorithms (6 papers)Multi-Criteria Decision Making (3 papers)
- Journals
- Journal of the American Statistical AssociationLinear Algebra and its ApplicationsJournal of Statistical Planning and Inference
- Partner nations
- IndiaUnited States
In The Last Decade
P. Bhimasankaram
18 papers receiving 241 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 152
- Algebra and Number Theory 64
- Electrical and Electronic Engineering 55
- Applied Mathematics 54
- Statistics and Probability 53
Countries citing papers authored by P. Bhimasankaram
This map shows the geographic impact of P. Bhimasankaram'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. Bhimasankaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bhimasankaram more than expected).
Fields of papers citing papers by P. Bhimasankaram
This network shows the impact of papers produced by P. Bhimasankaram. 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. Bhimasankaram. The network helps show where P. Bhimasankaram may publish in the future.
Co-authorship network of co-authors of P. Bhimasankaram
This figure shows the co-authorship network connecting the top 25 collaborators of P. Bhimasankaram. A scholar is included among the top collaborators of P. Bhimasankaram 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. Bhimasankaram. P. Bhimasankaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | RECURSIVE INFERENCE IN A GENERAL LINEAR MODEL | 0 |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 91 | |
| 6 | 14 | |
| 7 | Linear Algebra | 30 |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | Determination of a matrix by its subclasses of generalized inverses | 27 |
| 18 | Generalized inverses of partitioned matrices and recalculation of least squares estimates for data or model changes | 13 |
| 19 | Some results on idempotent matrices and a equation connected with the distribution of quadratic forms | 1 |
About P. Bhimasankaram
P. Bhimasankaram is a scholar working on Statistics and Probability, General Decision Sciences and Computational Theory and Mathematics, having authored 19 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Matrix Theory and Algorithms (6 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Algebra and Number Theory (64 citations), Computational Theory and Mathematics (152 citations) and Numerical Analysis (42 citations). P. Bhimasankaram has collaborated with scholars based in India and United States. Frequent co-authors include Sujit Kumar Mitra, Debasis Sengupta, C. R. Rao, S. Rao Jammalamadaka, Sridhar Seshadri, Thomas Mathew, Sankar De, S. Ramanathan, Krishnakumar Balasubramanian and Aloke Dey. Their work appears in journals such as Journal of the American Statistical Association, Linear Algebra and its Applications and Journal of Statistical Planning and Inference.
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.