Debdas Ghosh
Impact in
- Statistics and Probability top 1%
- Fuzzy Systems and Optimization
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
Papers in
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- Optimization and Variational Analysis 37
- Advanced Multi-Objective Optimization Algorithms 15
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- Fuzzy Systems and Optimization 32
- Co-authors
- Debjani Chakraborty (14 shared papers)K.K. Shukla (6 shared papers)Witold Pedrycz (2 shared papers)Radko Mesiar (3 shared papers)Jen‐Chih Yao (13 shared papers)Qamrul Hasan Ansari (5 shared papers)Xiaopeng Zhao (7 shared papers)Tanmoy Som (4 shared papers)
In The Last Decade
Debdas Ghosh
68 papers receiving 560 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 316
- Numerical Analysis 116
- Computational Theory and Mathematics 288
- Management Science and Operations Research 208
- Control and Systems Engineering 184
Countries citing papers authored by Debdas Ghosh
This map shows the geographic impact of Debdas Ghosh'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 Debdas Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debdas Ghosh more than expected).
Fields of papers citing papers by Debdas Ghosh
This network shows the impact of papers produced by Debdas Ghosh. 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 Debdas Ghosh. The network helps show where Debdas Ghosh may publish in the future.
Co-authors
The 25 scholars most cited alongside Debdas Ghosh, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2016 | 35 | |
| 3 | 2012 | 34 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2013 | 25 | |
| 9 | 2014 | 21 | |
| 10 | 2014 | 19 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 9 |
About Debdas Ghosh
Debdas Ghosh is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Numerical Analysis, Management Science and Operations Research and Control and Systems Engineering, having authored 80 papers that have together received 576 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (37 papers), Fuzzy Systems and Optimization (32 papers), Advanced Optimization Algorithms Research (25 papers), Multi-Criteria Decision Making (19 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Optimization and Mathematical Programming (13 papers), Probabilistic and Robust Engineering Design (7 papers) and Fixed Point Theorems Analysis (6 papers). The work is most often cited by research in Statistics and Probability (316 citations), Numerical Analysis (116 citations), Computational Theory and Mathematics (288 citations), Management Science and Operations Research (208 citations) and Control and Systems Engineering (184 citations). Debdas Ghosh has collaborated with scholars based in India, China and Taiwan. Frequent co-authors include Debjani Chakraborty, K.K. Shukla, Witold Pedrycz, Radko Mesiar, Jen‐Chih Yao, Qamrul Hasan Ansari, Xiaopeng Zhao, Tanmoy Som, Lu-Chuan Ceng and Bhawana Singh. Their work appears in journals such as Fuzzy Sets and Systems, Soft Computing, Information Sciences, Optimization 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.