Samarjit Kar
Impact in
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- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Statistics and Probability top 0.5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 59
- Risk and Portfolio Optimization 9
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- Optimization and Mathematical Programming 46
- Co-authors
- Manoranjan Maiti (23 shared papers)Zhongfeng Qin (4 shared papers)Jagannath Roy (12 shared papers)Tandra Pal (16 shared papers)Kajal Chatterjee (4 shared papers)Sujit Das (11 shared papers)Xiang Li (1 shared paper)Arindam Roy (9 shared papers)
In The Last Decade
Samarjit Kar
185 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 138
- Management Science and Operations Research 1.8k
- Statistics and Probability 869
- Management Information Systems 780
- Strategy and Management 748
- Industrial and Manufacturing Engineering 498
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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 222 | |
| 2 | 2013 | 102 | |
| 3 | 2019 | 97 | |
| 4 | 2016 | 84 | |
| 5 | 2001 | 83 | |
| 6 | 2017 | 80 | |
| 7 | 2013 | 77 | |
| 8 | 2018 | 75 | |
| 9 | 2014 | 69 | |
| 10 | 2016 | 69 | |
| 11 | 2008 | 68 | |
| 12 | 2019 | 67 | |
| 13 | 2019 | 63 | |
| 14 | 2019 | 61 | |
| 15 | 2021 | 60 | |
| 16 | 2014 | 54 | |
| 17 | 2007 | 53 | |
| 18 | 2018 | 51 | |
| 19 | 2014 | 51 | |
| 20 | 2018 | 51 |
About Samarjit Kar
Samarjit Kar is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Management Information Systems, Statistics and Probability and Strategy and Management, having authored 193 papers that have together received 3.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (59 papers), Optimization and Mathematical Programming (46 papers), Supply Chain and Inventory Management (43 papers), Fuzzy Systems and Optimization (39 papers), Sustainable Supply Chain Management (34 papers), Vehicle Routing Optimization Methods (16 papers), Scheduling and Optimization Algorithms (10 papers) and Risk and Portfolio Optimization (9 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Statistics and Probability (869 citations), Management Information Systems (780 citations), Strategy and Management (748 citations) and Industrial and Manufacturing Engineering (498 citations). Samarjit Kar has collaborated with scholars based in India, China and Lithuania. Frequent co-authors include Manoranjan Maiti, Zhongfeng Qin, Jagannath Roy, Tandra Pal, Kajal Chatterjee, Sujit Das, Xiang Li, Arindam Roy, Edmundas Kazimieras Zavadskas and Dragan Pamučar. Their work appears in journals such as Neural Computing and Applications, Soft Computing, Journal of Intelligent & Fuzzy Systems, Journal of Ambient Intelligence and Humanized Computing and Sustainability.
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.