Sankar Kumar Roy
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization
Papers in
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- Optimization and Mathematical Programming 100
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- Multi-Criteria Decision Making 93
- Co-authors
- Gerhard‐Wilhelm Weber (40 shared papers)Magfura Pervin (22 shared papers)Gurupada Maity (23 shared papers)Arijit Mondal (10 shared papers)Sudipta Midya (11 shared papers)Soumen Kumar Das (11 shared papers)Shyamali Ghosh (8 shared papers)José Luís Verdegay (6 shared papers)
In The Last Decade
Sankar Kumar Roy
187 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 127
- Management Science and Operations Research 2.1k
- Statistics and Probability 1000
- Management Information Systems 1.0k
- Control and Systems Engineering 2.1k
- Strategy and Management 1.2k
Countries citing papers authored by Sankar Kumar Roy
This map shows the geographic impact of Sankar Kumar Roy'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 Sankar Kumar Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankar Kumar Roy more than expected).
Fields of papers citing papers by Sankar Kumar Roy
This network shows the impact of papers produced by Sankar Kumar Roy. 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 Sankar Kumar Roy. The network helps show where Sankar Kumar Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sankar Kumar Roy, 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 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2021 | 108 | |
| 3 | 2021 | 105 | |
| 4 | 2020 | 98 | |
| 5 | 2019 | 94 | |
| 6 | 2019 | 91 | |
| 7 | 2012 | 88 | |
| 8 | 2020 | 87 | |
| 9 | 2016 | 86 | |
| 10 | 2016 | 81 | |
| 11 | 2019 | 81 | |
| 12 | 2021 | 80 | |
| 13 | 2021 | 79 | |
| 14 | 2019 | 75 | |
| 15 | 2022 | 73 | |
| 16 | 2018 | 69 | |
| 17 | 2018 | 68 | |
| 18 | 2019 | 66 | |
| 19 | 2021 | 65 | |
| 20 | 2017 | 63 |
About Sankar Kumar Roy
Sankar Kumar Roy is a scholar working on Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability, Strategy and Management and Computational Theory and Mathematics, having authored 195 papers that have together received 4.9k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (100 papers), Multi-Criteria Decision Making (93 papers), Fuzzy Systems and Optimization (52 papers), Sustainable Supply Chain Management (32 papers), Supply Chain and Inventory Management (26 papers), Rough Sets and Fuzzy Logic (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers) and Optimization and Variational Analysis (14 papers). The work is most often cited by research in Management Science and Operations Research (2.1k citations), Statistics and Probability (1000 citations), Management Information Systems (1.0k citations), Control and Systems Engineering (2.1k citations) and Strategy and Management (1.2k citations). Sankar Kumar Roy has collaborated with scholars based in India, Poland and Türkiye. Frequent co-authors include Gerhard‐Wilhelm Weber, Magfura Pervin, Gurupada Maity, Arijit Mondal, Sudipta Midya, Soumen Kumar Das, Shyamali Ghosh, José Luís Verdegay, Vincent F. Yu and Muhammet Deveci. Their work appears in journals such as Journal of Industrial and Management Optimization, Soft Computing, Applied Soft Computing, Annals of Operations Research and Expert Systems with 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.