Surajit Borkotokey
- Management Science and Operations Research top 2%
- Statistics and Probability top 2%
- Economics and Econometrics top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Radko MesiarLeSheng JinMartin KalinaRajnish KumarSudipta SarangiSaifur RahmanPranjal SarmahBijan Davvaz
- Topics
- Multi-Criteria Decision Making (32 papers)Game Theory and Voting Systems (26 papers)Fuzzy Systems and Optimization (18 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
In The Last Decade
Surajit Borkotokey
54 papers receiving 465 citations
Peers
Comparison fields: 5 of 55
- Management Science and Operations Research 358
- Statistics and Probability 135
- Economics and Econometrics 107
- Computational Theory and Mathematics 102
- Artificial Intelligence 101
Countries citing papers authored by Surajit Borkotokey
This map shows the geographic impact of Surajit Borkotokey'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 Surajit Borkotokey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surajit Borkotokey more than expected).
Fields of papers citing papers by Surajit Borkotokey
This network shows the impact of papers produced by Surajit Borkotokey. 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 Surajit Borkotokey. The network helps show where Surajit Borkotokey may publish in the future.
Co-authorship network of co-authors of Surajit Borkotokey
This figure shows the co-authorship network connecting the top 25 collaborators of Surajit Borkotokey. A scholar is included among the top collaborators of Surajit Borkotokey 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 Surajit Borkotokey. Surajit Borkotokey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 64 | |
| 15 | 71 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | Bi-Cooperative Network Games: A Solution Concept | 2 |
| 19 | 7 | |
| 20 | 7 |
About Surajit Borkotokey
Surajit Borkotokey is a scholar working on Management Science and Operations Research, Statistics and Probability and Economics and Econometrics, having authored 59 papers that have together received 469 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (32 papers), Game Theory and Voting Systems (26 papers) and Fuzzy Systems and Optimization (18 papers). The work is most often cited by research in Management Science and Operations Research (358 citations), Statistics and Probability (135 citations) and Computational Theory and Mathematics (102 citations). Surajit Borkotokey has collaborated with scholars based in India, Slovakia and China. Frequent co-authors include Radko Mesiar, LeSheng Jin, Martin Kalina, Rajnish Kumar, Sudipta Sarangi, Saifur Rahman, Pranjal Sarmah, Bijan Davvaz, Chunqiao Tan and Zhen‐Song Chen. Their work appears in journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Fuzzy Systems.
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.