Samarjit Kar
Impact in
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- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Fuzzy and Soft Set Theory
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 59
- Stock Market Forecasting Methods 8
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- Fuzzy Logic and Control Systems 14
- Co-authors
- Sujit Das (14 shared papers)R. Krishankumar (21 shared papers)Pradip Kundu (8 shared papers)Pijush K. Ghosh (2 shared papers)Manoranjan Maiti (9 shared papers)Kajal Chatterjee (9 shared papers)K. S. Ravichandran (9 shared papers)Rupak Bhattacharyya (4 shared papers)
In The Last Decade
Samarjit Kar
161 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 149
- Management Science and Operations Research 1.8k
- Statistics and Probability 578
- Control and Systems Engineering 759
- Management Information Systems 207
- Strategy and Management 347
Countries citing papers authored by Samarjit Kar
This map shows the geographic impact of Samarjit Kar'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 Samarjit Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarjit Kar more than expected).
Fields of papers citing papers by Samarjit Kar
This network shows the impact of papers produced by Samarjit Kar. 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 Samarjit Kar. The network helps show where Samarjit Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Samarjit Kar, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 271 | |
| 2 | 2018 | 131 | |
| 3 | 2012 | 113 | |
| 4 | 2021 | 104 | |
| 5 | 2010 | 97 | |
| 6 | 2012 | 94 | |
| 7 | 2014 | 92 | |
| 8 | 2011 | 86 | |
| 9 | 2021 | 83 | |
| 10 | 2018 | 82 | |
| 11 | 2020 | 80 | |
| 12 | 2019 | 80 | |
| 13 | 2019 | 78 | |
| 14 | 2015 | 76 | |
| 15 | 2020 | 73 | |
| 16 | 2020 | 67 | |
| 17 | 2013 | 60 | |
| 18 | 2018 | 60 | |
| 19 | 2021 | 59 | |
| 20 | 2019 | 58 |
About Samarjit Kar
Samarjit Kar is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 179 papers that have together received 3.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (59 papers), Fuzzy Systems and Optimization (31 papers), Optimization and Mathematical Programming (28 papers), Fuzzy Logic and Control Systems (14 papers), Rough Sets and Fuzzy Logic (12 papers), Supply Chain and Inventory Management (10 papers), Sustainable Supply Chain Management (9 papers) and Stock Market Forecasting Methods (8 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Statistics and Probability (578 citations), Control and Systems Engineering (759 citations), Management Information Systems (207 citations) and Strategy and Management (347 citations). Samarjit Kar has collaborated with scholars based in India, Lithuania and Norway. Frequent co-authors include Sujit Das, R. Krishankumar, Pradip Kundu, Pijush K. Ghosh, Manoranjan Maiti, Kajal Chatterjee, K. S. Ravichandran, Rupak Bhattacharyya, Debi Prosad Dogra and Mohuya B. Kar. Their work appears in journals such as Soft Computing, Applied Soft Computing, Symmetry, International Journal of Fuzzy Systems and Information Sciences.
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.