Deb Kalyanmoy
- Computational Theory and Mathematics top 0.05%
- Artificial Intelligence top 0.2%
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 1%
- Co-authors
- Kalyanmoy DebBishakh BhattacharyaK. SivakumarN.G.R. IyengarMurat KöksalanMiłosz KadzińskiMatthias EhrgottMark Harman
- Topics
- Topology Optimization in Engineering (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Metaheuristic Optimization Algorithms Research (2 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- European Journal of Operational ResearchJournal of Mechanical DesignApplied Composite Materials
- Partner nations
- IndiaPolandUnited Kingdom
In The Last Decade
Deb Kalyanmoy
7 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computational Theory and Mathematics 4.2k
- Artificial Intelligence 3.4k
- Electrical and Electronic Engineering 1.8k
- Control and Systems Engineering 1.5k
- Mechanical Engineering 1.4k
Countries citing papers authored by Deb Kalyanmoy
This map shows the geographic impact of Deb Kalyanmoy'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 Deb Kalyanmoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deb Kalyanmoy more than expected).
Fields of papers citing papers by Deb Kalyanmoy
This network shows the impact of papers produced by Deb Kalyanmoy. 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 Deb Kalyanmoy. The network helps show where Deb Kalyanmoy may publish in the future.
Co-authorship network of co-authors of Deb Kalyanmoy
This figure shows the co-authorship network connecting the top 25 collaborators of Deb Kalyanmoy. A scholar is included among the top collaborators of Deb Kalyanmoy 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 Deb Kalyanmoy. Deb Kalyanmoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 20 | |
| 4 | Gecco 2007: Genetic and Evolutionary Computation Conference, July 7-11, 2007 University College London, London, UK | 1 |
| 5 | Proceedings of the Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II | 1 |
| 6 | Multi-Objective Optimization Using Evolutionary Algorithmsbreakdown → | 10922 |
| 7 | 5 |
About Deb Kalyanmoy
Deb Kalyanmoy is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Artificial Intelligence, having authored 7 papers that have together received 11.0k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (4.2k citations), Artificial Intelligence (3.4k citations) and Industrial and Manufacturing Engineering (985 citations). Deb Kalyanmoy has collaborated with scholars based in India, Poland and United Kingdom. Frequent co-authors include Kalyanmoy Deb, Bishakh Bhattacharya, K. Sivakumar, N.G.R. Iyengar, Murat Köksalan, Miłosz Kadziński, Matthias Ehrgott, Mark Harman, Tim Kovacs and Dario Floreano. Their work appears in journals such as European Journal of Operational Research, Journal of Mechanical Design and Applied Composite Materials.
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.