R. Krishankumar
Impact in
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- Multi-Criteria Decision Making
- Strategy and Management top 2%
- Sustainable Supply Chain Management
Papers in
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- Multi-Criteria Decision Making 74
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- Optimization and Mathematical Programming 18
- Co-authors
- K. S. Ravichandran (54 shared papers)K. S. Ravichandran (18 shared papers)Samarjit Kar (19 shared papers)Arunodaya Raj Mishra (17 shared papers)Pratibha Rani (14 shared papers)Fatih Ecer (13 shared papers)Samarjit Kar (12 shared papers)Fausto Cavallaro (11 shared papers)
In The Last Decade
R. Krishankumar
90 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 114
- Management Science and Operations Research 1.5k
- Strategy and Management 436
- Statistics and Probability 185
- Management of Technology and Innovation 125
- Control and Systems Engineering 404
Countries citing papers authored by R. Krishankumar
This map shows the geographic impact of R. Krishankumar'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 R. Krishankumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Krishankumar more than expected).
Fields of papers citing papers by R. Krishankumar
This network shows the impact of papers produced by R. Krishankumar. 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 R. Krishankumar. The network helps show where R. Krishankumar may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Krishankumar, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2021 | 100 | |
| 3 | 2020 | 91 | |
| 4 | 2020 | 88 | |
| 5 | 2021 | 79 | |
| 6 | 2022 | 71 | |
| 7 | 2020 | 67 | |
| 8 | 2020 | 66 | |
| 9 | 2019 | 61 | |
| 10 | 2019 | 60 | |
| 11 | 2021 | 56 | |
| 12 | 2023 | 53 | |
| 13 | 2019 | 53 | |
| 14 | 2019 | 52 | |
| 15 | 2021 | 50 | |
| 16 | 2021 | 48 | |
| 17 | 2021 | 47 | |
| 18 | 2021 | 47 | |
| 19 | 2020 | 44 | |
| 20 | 2021 | 43 |
About R. Krishankumar
R. Krishankumar is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Strategy and Management, Artificial Intelligence and Computer Networks and Communications, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (74 papers), Sustainable Supply Chain Management (18 papers), Optimization and Mathematical Programming (18 papers), IoT and Edge/Fog Computing (9 papers), Rough Sets and Fuzzy Logic (9 papers), Fuzzy Systems and Optimization (9 papers), Soil and Land Suitability Analysis (8 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Strategy and Management (436 citations), Statistics and Probability (185 citations), Management of Technology and Innovation (125 citations) and Control and Systems Engineering (404 citations). R. Krishankumar has collaborated with scholars based in India, Türkiye and Serbia. Frequent co-authors include K. S. Ravichandran, K. S. Ravichandran, Samarjit Kar, Arunodaya Raj Mishra, Pratibha Rani, Fatih Ecer, Samarjit Kar, Fausto Cavallaro, Amir H. Gandomi and Dragan Pamučar. Their work appears in journals such as Applied Soft Computing, Soft Computing, Sustainability, IEEE Transactions on Engineering Management and Neural Computing and 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.