Sumit Kumar
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
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- Hybrid Renewable Energy Systems
Papers in
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- Advanced Multi-Objective Optimization Algorithms 37
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- Metaheuristic Optimization Algorithms Research 25
- Evolutionary Algorithms and Applications 4
- Co-authors
- Ghanshyam G. Tejani (21 shared papers)Sujin Bureerat (23 shared papers)Nantiwat Pholdee (20 shared papers)Ali Rıza Yıldız (17 shared papers)Pranav Mehta (15 shared papers)Natee Panagant (11 shared papers)Betül Sultan Yıldız (12 shared papers)Sadiq M. Sait (9 shared papers)
In The Last Decade
Sumit Kumar
50 papers receiving 1.9k citations
Sumit Kumar's Hit Papers
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 853
- Energy Engineering and Power Technology 97
- Artificial Intelligence 874
- Industrial and Manufacturing Engineering 228
- Civil and Structural Engineering 495
Countries citing papers authored by Sumit Kumar
This map shows the geographic impact of Sumit 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 Sumit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar more than expected).
Fields of papers citing papers by Sumit Kumar
This network shows the impact of papers produced by Sumit 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 Sumit Kumar. The network helps show where Sumit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 116 | |
| 2 | 2021 | 103 | |
| 3 | A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems Hit paper breakdown → | 2023 | 102 |
| 4 | 2018 | 89 | |
| 5 | 2022 | 87 | |
| 6 | 2022 | 79 | |
| 7 | 2019 | 78 | |
| 8 | 2021 | 77 | |
| 9 | 2023 | 73 | |
| 10 | 2023 | 72 | |
| 11 | 2020 | 71 | |
| 12 | 2020 | 63 | |
| 13 | 2023 | 62 | |
| 14 | 2023 | 61 | |
| 15 | 2020 | 59 | |
| 16 | 2022 | 58 | |
| 17 | 2022 | 56 | |
| 18 | 2021 | 52 | |
| 19 | 2022 | 51 | |
| 20 | 2023 | 49 |
About Sumit Kumar
Sumit Kumar is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Civil and Structural Engineering, Aerospace Engineering and Statistics, Probability and Uncertainty, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (37 papers), Metaheuristic Optimization Algorithms Research (25 papers), Topology Optimization in Engineering (22 papers), Probabilistic and Robust Engineering Design (7 papers), Marine and Offshore Engineering Studies (5 papers), Evolutionary Algorithms and Applications (4 papers), Offshore Engineering and Technologies (4 papers) and Aerospace Engineering and Control Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (853 citations), Energy Engineering and Power Technology (97 citations), Artificial Intelligence (874 citations), Industrial and Manufacturing Engineering (228 citations) and Civil and Structural Engineering (495 citations). Sumit Kumar has collaborated with scholars based in Australia, India and Thailand. Frequent co-authors include Ghanshyam G. Tejani, Sujin Bureerat, Nantiwat Pholdee, Ali Rıza Yıldız, Pranav Mehta, Natee Panagant, Betül Sultan Yıldız, Sadiq M. Sait, Seyedali Mirjalili and Pradeep Jangir. Their work appears in journals such as Knowledge-Based Systems, Engineering With Computers, Journal of Computational Design and Engineering, Symmetry and Archives of Computational Methods in Engineering.
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.