Kamal Kumar
- Management Science and Operations Research top 0.2%
- Control and Systems Engineering top 1%
- Statistics and Probability top 0.5%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Co-authors
- Harish GargShyi‐Ming ChenRishu AroraJ. SrinivasHarendra KumarNeelam NeelamSudeshna GhoshGagandeep Kaur
- Topics
- Multi-Criteria Decision Making (47 papers)Optimization and Mathematical Programming (32 papers)Fuzzy Systems and Optimization (21 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Partner nations
- IndiaTaiwanUnited Arab Emirates
In The Last Decade
Kamal Kumar
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 1.7k
- Control and Systems Engineering 830
- Statistics and Probability 613
- Computational Theory and Mathematics 427
- Artificial Intelligence 419
Countries citing papers authored by Kamal Kumar
This map shows the geographic impact of Kamal Kumar'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 Kamal Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamal Kumar more than expected).
Fields of papers citing papers by Kamal Kumar
This network shows the impact of papers produced by Kamal Kumar. 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 Kamal Kumar. The network helps show where Kamal Kumar may publish in the future.
Co-authorship network of co-authors of Kamal Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Kamal Kumar. A scholar is included among the top collaborators of Kamal Kumar 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 Kamal Kumar. Kamal Kumar 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 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 46 | |
| 16 | 37 | |
| 17 | 70 | |
| 18 | Group Decision Making Approach Based on Possibility Degree Measures and the Linguistic Intuitionistic Fuzzy Aggregation Operators Using Einstein Norm Operations. | 29 |
| 19 | 5 | |
| 20 | 21 |
About Kamal Kumar
Kamal Kumar is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (47 papers), Optimization and Mathematical Programming (32 papers) and Fuzzy Systems and Optimization (21 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Statistics and Probability (613 citations) and Control and Systems Engineering (830 citations). Kamal Kumar has collaborated with scholars based in India, Taiwan and United Arab Emirates. Frequent co-authors include Harish Garg, Shyi‐Ming Chen, Rishu Arora, J. Srinivas, Harendra Kumar, Neelam Neelam, Sudeshna Ghosh, Gagandeep Kaur, Atul Kakar and Sarita Bajaj. Their work appears in journals such as Applied Surface Science, Information Sciences and Journal of Sound and Vibration.
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.