Hemant Kumar Singh
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
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- Optimal Experimental Design Methods
Papers in
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- Advanced Multi-Objective Optimization Algorithms 68
- Optimization and Variational Analysis 7
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- Probabilistic and Robust Engineering Design 17
- Co-authors
- Tapabrata RayAmitay IsaacsMd AsafuddoulaShelvin ChandZhifang ZhangLee W. SchrubenWarren SmithLuke Tierney
In The Last Decade
Hemant Kumar Singh
128 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 1.1k
- Management Science and Operations Research 468
- Artificial Intelligence 929
- Industrial and Manufacturing Engineering 270
- Statistics, Probability and Uncertainty 154
Countries citing papers authored by Hemant Kumar Singh
This map shows the geographic impact of Hemant Kumar Singh'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 Hemant Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemant Kumar Singh more than expected).
Fields of papers citing papers by Hemant Kumar Singh
This network shows the impact of papers produced by Hemant Kumar Singh. 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 Hemant Kumar Singh. The network helps show where Hemant Kumar Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hemant Kumar Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 21 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 59 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 91 | |
| 19 | 2016 | 3 | |
| 20 | 2015 | 1 |
About Hemant Kumar Singh
Hemant Kumar Singh is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 145 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (68 papers), Metaheuristic Optimization Algorithms Research (43 papers), Evolutionary Algorithms and Applications (22 papers), Optimal Experimental Design Methods (19 papers), Probabilistic and Robust Engineering Design (17 papers), Homotopy and Cohomology in Algebraic Topology (8 papers), Structural Health Monitoring Techniques (8 papers) and Optimization and Variational Analysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Management Science and Operations Research (468 citations), Artificial Intelligence (929 citations), Industrial and Manufacturing Engineering (270 citations) and Statistics, Probability and Uncertainty (154 citations). Hemant Kumar Singh has collaborated with scholars based in Australia, India and China. Frequent co-authors include Tapabrata Ray, Amitay Isaacs, Md Asafuddoula, Shelvin Chand, Zhifang Zhang, Lee W. Schruben, Warren Smith, Luke Tierney, Karthik Ram Ramakrishnan and Jingwen Pan. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Journal of Mechanical Design, Information Sciences and IEEE Access.
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.