Dhish Kumar Saxena
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering
- Civil and Structural Engineering
- Co-authors
- Kalyanmoy DebAshutosh TiwariQingfu ZhangJoão A. DuroErik D. GoodmanAnkur SinhaTapabrata RayArnab Sinha
- Topics
- Advanced Multi-Objective Optimization Algorithms (14 papers)Metaheuristic Optimization Algorithms Research (10 papers)Evolutionary Algorithms and Applications (7 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Evolutionary ComputationNeurocomputing
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Dhish Kumar Saxena
21 papers receiving 455 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 336
- Artificial Intelligence 296
- Management Science and Operations Research 106
- Control and Systems Engineering 60
- Civil and Structural Engineering 39
Countries citing papers authored by Dhish Kumar Saxena
This map shows the geographic impact of Dhish Kumar Saxena'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 Dhish Kumar Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhish Kumar Saxena more than expected).
Fields of papers citing papers by Dhish Kumar Saxena
This network shows the impact of papers produced by Dhish Kumar Saxena. 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 Dhish Kumar Saxena. The network helps show where Dhish Kumar Saxena may publish in the future.
Co-authorship network of co-authors of Dhish Kumar Saxena
This figure shows the co-authorship network connecting the top 25 collaborators of Dhish Kumar Saxena. A scholar is included among the top collaborators of Dhish Kumar Saxena 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 Dhish Kumar Saxena. Dhish Kumar Saxena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | 19 | |
| 15 | 224 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | 21 |
About Dhish Kumar Saxena
Dhish Kumar Saxena is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (336 citations), Artificial Intelligence (296 citations) and Management Science and Operations Research (106 citations). Dhish Kumar Saxena has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kalyanmoy Deb, Ashutosh Tiwari, Qingfu Zhang, João A. Duro, Erik D. Goodman, Ankur Sinha, Tapabrata Ray, Arnab Sinha, Kostas Vergidis and Licheng Jiao. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Evolutionary Computation and Neurocomputing.
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.