V. Jeyakumar
Impact in
- Numerical Analysis top 0.1%
- Advanced Optimization Algorithms Research
- Computational Theory and Mathematics top 0.05%
- Optimization and Variational Analysis
Papers in
-
- Optimization and Variational Analysis 125
-
- Advanced Optimization Algorithms Research 117
- Co-authors
- Guoyin Li (57 shared papers)Dinh The Luc (8 shared papers)Xiaoqi Yang (6 shared papers)N. Dinh (9 shared papers)B. Mond (1 shared paper)G. M. Lee (11 shared papers)Miguel Á. Goberna (9 shared papers)A. M. Rubinov (8 shared papers)
- Journals
- Journal of Optimization Theory and Applications (27 papers)Journal of Global Optimization (15 papers)Nonlinear Analysis (12 papers)Mathematical Programming (12 papers)SIAM Journal on Optimization (12 papers)
- Partner nations
- AustraliaVietnamSouth Korea
In The Last Decade
V. Jeyakumar
162 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 81
- Numerical Analysis 2.4k
- Computational Theory and Mathematics 3.2k
- Management Science and Operations Research 954
- Geometry and Topology 428
- Control and Systems Engineering 1.1k
Countries citing papers authored by V. Jeyakumar
This map shows the geographic impact of V. Jeyakumar'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 V. Jeyakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Jeyakumar more than expected).
Fields of papers citing papers by V. Jeyakumar
This network shows the impact of papers produced by V. Jeyakumar. 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 V. Jeyakumar. The network helps show where V. Jeyakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Jeyakumar, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 176 | |
| 2 | 1999 | 130 | |
| 3 | 2010 | 103 | |
| 4 | 1988 | 95 | |
| 5 | 2003 | 92 | |
| 6 | 1998 | 84 | |
| 7 | 2014 | 68 | |
| 8 | 2013 | 64 | |
| 9 | 1993 | 64 | |
| 10 | 1997 | 63 | |
| 11 | 1992 | 62 | |
| 12 | 1993 | 62 | |
| 13 | 2003 | 61 | |
| 14 | 2006 | 60 | |
| 15 | 1985 | 60 | |
| 16 | 2011 | 55 | |
| 17 | 2005 | 51 | |
| 18 | 1986 | 50 | |
| 19 | 2008 | 50 | |
| 20 | 2009 | 49 |
About V. Jeyakumar
V. Jeyakumar is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Management Science and Operations Research and Computational Mechanics, having authored 169 papers that have together received 3.9k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (125 papers), Advanced Optimization Algorithms Research (117 papers), Risk and Portfolio Optimization (50 papers), Optimization and Mathematical Programming (44 papers), Sparse and Compressive Sensing Techniques (16 papers), Fuzzy Systems and Optimization (14 papers), Water resources management and optimization (8 papers) and Probabilistic and Robust Engineering Design (7 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Computational Theory and Mathematics (3.2k citations), Management Science and Operations Research (954 citations), Geometry and Topology (428 citations) and Control and Systems Engineering (1.1k citations). V. Jeyakumar has collaborated with scholars based in Australia, Vietnam and South Korea. Frequent co-authors include Guoyin Li, Dinh The Luc, Xiaoqi Yang, N. Dinh, B. Mond, G. M. Lee, Miguel Á. Goberna, A. M. Rubinov, B. M. Glover and Zhiyou Wu. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Global Optimization, Nonlinear Analysis, Mathematical Programming and SIAM Journal on Optimization.
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.