Kusum Deep
Impact in
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 137
- Evolutionary Algorithms and Applications 72
-
- Advanced Multi-Objective Optimization Algorithms 75
- Co-authors
- Shubham Gupta (24 shared papers)Manoj Thakur (6 shared papers)Jagdish Chand Bansal (45 shared papers)Millie Pant (34 shared papers)Krishna Pratap Singh (7 shared papers)Mitthan Lal Kansal (7 shared papers)Chilukuri K. Mohan (4 shared papers)Kanchan Rajwar (7 shared papers)
- Journals
- Applied Mathematics and Computation (8 papers)Expert Systems with Applications (7 papers)Swarm and Evolutionary Computation (5 papers)Journal of Computational Science (5 papers)Applied Soft Computing (4 papers)
- Partner nations
- IndiaUnited KingdomSouth Korea
In The Last Decade
Kusum Deep
230 papers receiving 6.3k citations
Kusum Deep's Hit Papers
Peers
Comparison fields: 5 of 160
- Computational Theory and Mathematics 1.8k
- Artificial Intelligence 3.6k
- Industrial and Manufacturing Engineering 718
- Control and Systems Engineering 1.1k
- Numerical Analysis 218
Countries citing papers authored by Kusum Deep
This map shows the geographic impact of Kusum Deep'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 Kusum Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kusum Deep more than expected).
Fields of papers citing papers by Kusum Deep
This network shows the impact of papers produced by Kusum Deep. 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 Kusum Deep. The network helps show where Kusum Deep may publish in the future.
Co-authors
The 25 scholars most cited alongside Kusum Deep, 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 238 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A real coded genetic algorithm for solving integer and mixed integer optimization problems Hit paper breakdown → | 2009 | 572 |
| 2 | A novel Random Walk Grey Wolf Optimizer Hit paper breakdown → | 2018 | 370 |
| 3 | 2006 | 355 | |
| 4 | An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges Hit paper breakdown → | 2023 | 339 |
| 5 | 2007 | 322 | |
| 6 | A hybrid self-adaptive sine cosine algorithm with opposition based learning Hit paper breakdown → | 2018 | 259 |
| 7 | 2012 | 182 | |
| 8 | 2018 | 167 | |
| 9 | 2010 | 143 | |
| 10 | 2020 | 136 | |
| 11 | 2018 | 109 | |
| 12 | 2019 | 107 | |
| 13 | 2020 | 102 | |
| 14 | 2020 | 96 | |
| 15 | 2020 | 93 | |
| 16 | 2021 | 90 | |
| 17 | 2020 | 86 | |
| 18 | 2020 | 86 | |
| 19 | 2019 | 85 | |
| 20 | 2015 | 79 |
About Kusum Deep
Kusum Deep is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis and Industrial and Manufacturing Engineering, having authored 238 papers that have together received 6.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (137 papers), Advanced Multi-Objective Optimization Algorithms (75 papers), Evolutionary Algorithms and Applications (72 papers), Advanced Optimization Algorithms Research (27 papers), Vehicle Routing Optimization Methods (11 papers), Optimization and Mathematical Programming (9 papers), Optimal Power Flow Distribution (8 papers) and Artificial Immune Systems Applications (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Artificial Intelligence (3.6k citations), Industrial and Manufacturing Engineering (718 citations), Control and Systems Engineering (1.1k citations) and Numerical Analysis (218 citations). Kusum Deep has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Shubham Gupta, Manoj Thakur, Jagdish Chand Bansal, Millie Pant, Krishna Pratap Singh, Mitthan Lal Kansal, Chilukuri K. Mohan, Kanchan Rajwar, Swagatam Das and Shail Kumar Dinkar. Their work appears in journals such as Applied Mathematics and Computation, Expert Systems with Applications, Swarm and Evolutionary Computation, Journal of Computational Science and Applied Soft Computing.
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.