Amit Kumar
Impact in
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- Optimization and Mathematical Programming
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
- Resource-Constrained Project Scheduling
- Efficiency Analysis Using DEA
Papers in
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- Optimization and Mathematical Programming 88
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- Fuzzy Systems and Optimization 17
- Approximation Theory and Sequence Spaces 1
- Co-authors
- Amarpreet Kaur (24 shared papers)Jagdeep Kaur (19 shared papers)Pushpinder Singh (9 shared papers)Manjot Kaur (10 shared papers)Srimantoorao S. Appadoo (18 shared papers)Neetu Neetu (2 shared papers)T.R. Gulati (2 shared papers)Deepika Rani (2 shared papers)
In The Last Decade
Amit Kumar
142 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 983
- Management Science and Operations Research 261
- Statistics and Probability 178
- Safety, Risk, Reliability and Quality 29
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Amit Kumar
This map shows the geographic impact of Amit 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 Amit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar more than expected).
Fields of papers citing papers by Amit Kumar
This network shows the impact of papers produced by Amit 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 Amit Kumar. The network helps show where Amit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar, 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 241 | |
| 2 | 2011 | 143 | |
| 3 | 2011 | 107 | |
| 4 | 2011 | 67 | |
| 5 | 2011 | 58 | |
| 6 | 2013 | 49 | |
| 7 | 2013 | 37 | |
| 8 | 2011 | 36 | |
| 9 | 2010 | 35 | |
| 10 | 2014 | 32 | |
| 11 | 2011 | 31 | |
| 12 | 2012 | 31 | |
| 13 | 2014 | 30 | |
| 14 | 2011 | 29 | |
| 15 | 2010 | 28 | |
| 16 | 2011 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2011 | 26 | |
| 19 | 2011 | 20 | |
| 20 | 2016 | 20 |
About Amit Kumar
Amit Kumar is a scholar working on Control and Systems Engineering, Statistics and Probability, Management Science and Operations Research, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 150 papers that have together received 1.8k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (88 papers), Fuzzy Systems and Optimization (17 papers), Multi-Criteria Decision Making (10 papers), Fuzzy and Soft Set Theory (4 papers), Reliability and Maintenance Optimization (2 papers), Approximation Theory and Sequence Spaces (1 paper), Ferroelectric and Piezoelectric Materials (1 paper) and Mobile Learning in Education (1 paper). The work is most often cited by research in Control and Systems Engineering (983 citations), Management Science and Operations Research (261 citations), Statistics and Probability (178 citations), Safety, Risk, Reliability and Quality (29 citations) and Industrial and Manufacturing Engineering (28 citations). Amit Kumar has collaborated with scholars based in India, Canada and Poland. Frequent co-authors include Amarpreet Kaur, Jagdeep Kaur, Pushpinder Singh, Manjot Kaur, Srimantoorao S. Appadoo, Neetu Neetu, T.R. Gulati, Deepika Rani, Sneh Lata and Shahid Ahmad Bhat. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Applied Mathematical Modelling, Soft Computing, Applied Soft Computing and Sadhana.
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.