S. R. Mohan
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Computational Mathematics top 10%
Papers in
-
- Matrix Theory and Algorithms 16
- Optimization and Variational Analysis 7
-
- Advanced Optimization Algorithms Research 13
- Co-authors
- Sarmistha Neogy (11 shared papers)R. Sridhar (3 shared papers)T. Parthasarathy (3 shared papers)Ashok Kumar Das (3 shared papers)T. E. S. Raghavan (1 shared paper)Suman Sinha (1 shared paper)Michael Neumann (1 shared paper)
- Journals
- Linear Algebra and its Applications (7 papers)Mathematical Programming (4 papers)OR Spectrum (2 papers)Mathematics of Operations Research (2 papers)Operations Research Letters (1 paper)
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
S. R. Mohan
26 papers receiving 469 citations
Peers
Comparison fields: 5 of 36
- Numerical Analysis 208
- Computational Mathematics 14
- Computational Theory and Mathematics 329
- Applied Mathematics 193
- Geometry and Topology 63
Countries citing papers authored by S. R. Mohan
This map shows the geographic impact of S. R. Mohan'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. R. Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. R. Mohan more than expected).
Fields of papers citing papers by S. R. Mohan
This network shows the impact of papers produced by S. R. Mohan. 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. R. Mohan. The network helps show where S. R. Mohan may publish in the future.
Co-authors
The 7 scholars most cited alongside S. R. Mohan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 297 | |
| 2 | 1996 | 32 | |
| 3 | 1992 | 15 | |
| 4 | 2004 | 14 | |
| 5 | 2001 | 13 | |
| 6 | 1999 | 12 | |
| 7 | 2001 | 12 | |
| 8 | 2001 | 11 | |
| 9 | 2006 | 10 | |
| 10 | 1976 | 10 | |
| 11 | 1987 | 10 | |
| 12 | 2005 | 9 | |
| 13 | 1996 | 9 | |
| 14 | 1994 | 8 | |
| 15 | 1984 | 8 | |
| 16 | 1996 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 1990 | 5 | |
| 19 | 1985 | 4 | |
| 20 | 1989 | 4 |
About S. R. Mohan
S. R. Mohan is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Electrical and Electronic Engineering, Management Science and Operations Research and Algebra and Number Theory, having authored 28 papers that have together received 511 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (16 papers), Advanced Optimization Algorithms Research (13 papers), graph theory and CDMA systems (8 papers), Optimization and Variational Analysis (7 papers), Advanced Topics in Algebra (5 papers), Game Theory and Applications (3 papers), Optimization and Mathematical Programming (3 papers) and Mathematical Inequalities and Applications (3 papers). The work is most often cited by research in Numerical Analysis (208 citations), Computational Mathematics (14 citations), Computational Theory and Mathematics (329 citations), Applied Mathematics (193 citations) and Geometry and Topology (63 citations). S. R. Mohan has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Sarmistha Neogy, R. Sridhar, T. Parthasarathy, Ashok Kumar Das, T. E. S. Raghavan, Suman Sinha and Michael Neumann. Their work appears in journals such as Linear Algebra and its Applications, Mathematical Programming, OR Spectrum, Mathematics of Operations Research and Operations Research Letters.
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.