Vasant A. Ubhaya
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 8
- Mathematical Approximation and Integration 6
- Statistics and Probability top 5%
- Approximation Theory and Sequence Spaces 13
- Applied Mathematics top 5%
- Mathematical Inequalities and Applications 8
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- Optimization and Variational Analysis 15
- Mathematical Physics top 10%
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- Multi-Criteria Decision Making 4
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- Sparse and Compressive Sensing Techniques 3
- Advanced Numerical Analysis Techniques 3
- Journals
- Journal of Approximation Theory (13 papers)Journal of Mathematical Analysis and Applications (7 papers)Computers & Mathematics with Applications (6 papers)
- Partner nations
- United States
In The Last Decade
Vasant A. Ubhaya
35 papers receiving 242 citations
Peers
Comparison fields: 5 of 37
- Numerical Analysis 94
- Statistics and Probability 115
- Applied Mathematics 89
- Computational Theory and Mathematics 109
- Mathematical Physics 48
Countries citing papers authored by Vasant A. Ubhaya
This map shows the geographic impact of Vasant A. Ubhaya'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 Vasant A. Ubhaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasant A. Ubhaya more than expected).
Fields of papers citing papers by Vasant A. Ubhaya
This network shows the impact of papers produced by Vasant A. Ubhaya. 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 Vasant A. Ubhaya. The network helps show where Vasant A. Ubhaya may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Vasant A. Ubhaya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 1 | |
| 2 | 2009 | 1 | |
| 3 | 2004 | 2 | |
| 4 | 1995 | 2 | |
| 5 | 1995 | 4 | |
| 6 | 1991 | 3 | |
| 7 | 1990 | 4 | |
| 8 | 1990 | 6 | |
| 9 | 1990 | 1 | |
| 10 | 1989 | 3 | |
| 11 | 1987 | 3 | |
| 12 | 1985 | 9 | |
| 13 | 1984 | 6 | |
| 14 | 1983 | 6 | |
| 15 | 1979 | 20 | |
| 16 | 1977 | 8 | |
| 17 | 1975 | 6 | |
| 18 | 1974 | 1 | |
| 19 | 1974 | 32 | |
| 20 | 1974 | 49 |
About Vasant A. Ubhaya
Vasant A. Ubhaya is a scholar working on Numerical Analysis, Statistics and Probability, Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics, having authored 35 papers that have together received 283 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (15 papers), Approximation Theory and Sequence Spaces (13 papers), Advanced Optimization Algorithms Research (8 papers), Mathematical Inequalities and Applications (8 papers), Mathematical Approximation and Integration (6 papers), Multi-Criteria Decision Making (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Numerical Analysis (94 citations), Statistics and Probability (115 citations), Applied Mathematics (89 citations), Computational Theory and Mathematics (109 citations) and Mathematical Physics (48 citations). Vasant A. Ubhaya has collaborated with scholars based in United States. Frequent co-authors include Nilotpal Chakravarti, Michael J. Best, Frank Deutsch, Yuesheng Xu, J. D. Ward and Ronald M. Mathsen. Their work appears in journals such as Journal of Approximation Theory, Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications, Proceedings of the American Mathematical Society and Journal of Optimization Theory 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.