Sapan Kumar Das
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 2%
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 5%
- Management Information Systems
- Co-authors
- S. A. EdalatpanahTamal MandalAvishek ChakrabortyKe ZhangDiptiranjan BeheraXinqiang MaJatindra Kumar DashSurapati Pramanik
- Topics
- Optimization and Mathematical Programming (28 papers)Multi-Criteria Decision Making (17 papers)Optimization and Variational Analysis (13 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaManagement DecisionSoft Computing
In The Last Decade
Sapan Kumar Das
27 papers receiving 290 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 266
- Management Science and Operations Research 236
- Statistics and Probability 131
- Computational Theory and Mathematics 87
- Management Information Systems 16
Countries citing papers authored by Sapan Kumar Das
This map shows the geographic impact of Sapan Kumar Das'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 Sapan Kumar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sapan Kumar Das more than expected).
Fields of papers citing papers by Sapan Kumar Das
This network shows the impact of papers produced by Sapan Kumar Das. 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 Sapan Kumar Das. The network helps show where Sapan Kumar Das may publish in the future.
Co-authorship network of co-authors of Sapan Kumar Das
This figure shows the co-authorship network connecting the top 25 collaborators of Sapan Kumar Das. A scholar is included among the top collaborators of Sapan Kumar Das 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 Sapan Kumar Das. Sapan Kumar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | 20 | |
| 8 | New insight on solving fuzzy linear fractional programming in material aspects | 2 |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 28 | |
| 17 | 43 | |
| 18 | 70 | |
| 19 | 3 | |
| 20 | 5 |
About Sapan Kumar Das
Sapan Kumar Das is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics, having authored 29 papers that have together received 329 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (28 papers), Multi-Criteria Decision Making (17 papers) and Optimization and Variational Analysis (13 papers). The work is most often cited by research in Management Science and Operations Research (236 citations), Statistics and Probability (131 citations) and Control and Systems Engineering (266 citations). Sapan Kumar Das has collaborated with scholars based in India, Iran and China. Frequent co-authors include S. A. Edalatpanah, Tamal Mandal, Avishek Chakraborty, Ke Zhang, Diptiranjan Behera, Xinqiang Ma, Jatindra Kumar Dash, Surapati Pramanik and Hamiden Abd El‐Wahed Khalifa. Their work appears in journals such as SHILAP Revista de lepidopterología, Management Decision and Soft Computing.
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.