M. Seetharama Gowda
- Computational Theory and Mathematics top 0.2%
- Numerical Analysis top 0.5%
- Algebra and Number Theory top 2%
- Applied Mathematics top 2%
- Geometry and Topology top 5%
- Co-authors
- Roman SznajderJiyuan TaoJong‐Shi PangWilliam W. HagerMarc TeboulleJuyoung JeongT. ParthasarathyMohamed A. Tawhid
- Topics
- Matrix Theory and Algorithms (63 papers)Advanced Optimization Algorithms Research (39 papers)Advanced Topics in Algebra (38 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsMathematical ProgrammingTransactions of the American Mathematical Society
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
M. Seetharama Gowda
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 1.6k
- Numerical Analysis 1.3k
- Algebra and Number Theory 373
- Applied Mathematics 248
- Geometry and Topology 167
Countries citing papers authored by M. Seetharama Gowda
This map shows the geographic impact of M. Seetharama Gowda'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 M. Seetharama Gowda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Seetharama Gowda more than expected).
Fields of papers citing papers by M. Seetharama Gowda
This network shows the impact of papers produced by M. Seetharama Gowda. 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 M. Seetharama Gowda. The network helps show where M. Seetharama Gowda may publish in the future.
Co-authorship network of co-authors of M. Seetharama Gowda
This figure shows the co-authorship network connecting the top 25 collaborators of M. Seetharama Gowda. A scholar is included among the top collaborators of M. Seetharama Gowda 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 M. Seetharama Gowda. M. Seetharama Gowda 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 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 166 | |
| 12 | 37 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 16 | |
| 16 | 90 | |
| 17 | 29 | |
| 18 | Operators of class $(S)^1_{+}$, Altman's condition and the complementarity problem | 23 |
| 19 | 5 | |
| 20 | 31 |
About M. Seetharama Gowda
M. Seetharama Gowda is a scholar working on Algebra and Number Theory, Numerical Analysis and Computational Theory and Mathematics, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (63 papers), Advanced Optimization Algorithms Research (39 papers) and Advanced Topics in Algebra (38 papers). The work is most often cited by research in Numerical Analysis (1.3k citations), Computational Theory and Mathematics (1.6k citations) and Algebra and Number Theory (373 citations). M. Seetharama Gowda has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Roman Sznajder, Jiyuan Tao, Jong‐Shi Pang, William W. Hager, Marc Teboulle, Juyoung Jeong, T. Parthasarathy, Mohamed A. Tawhid, G. Isac and Thomas I. Seidman. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Mathematical Programming and Transactions of the American Mathematical Society.
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.