Krishnendu Sanyal
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Dipti SrinivasanAnupam TrivediAbhiroop GhoshSwagatam DasShounak DattaK. Shanti SwarupRahul Mehta
- Topics
- Advanced Multi-Objective Optimization Algorithms (3 papers)Metaheuristic Optimization Algorithms Research (3 papers)Electric Power System Optimization (2 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
In The Last Decade
Krishnendu Sanyal
6 papers receiving 537 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 385
- Artificial Intelligence 374
- Management Science and Operations Research 67
- Control and Systems Engineering 55
- Electrical and Electronic Engineering 55
Countries citing papers authored by Krishnendu Sanyal
This map shows the geographic impact of Krishnendu Sanyal'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 Krishnendu Sanyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishnendu Sanyal more than expected).
Fields of papers citing papers by Krishnendu Sanyal
This network shows the impact of papers produced by Krishnendu Sanyal. 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 Krishnendu Sanyal. The network helps show where Krishnendu Sanyal may publish in the future.
Co-authorship network of co-authors of Krishnendu Sanyal
This figure shows the co-authorship network connecting the top 25 collaborators of Krishnendu Sanyal. A scholar is included among the top collaborators of Krishnendu Sanyal 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 Krishnendu Sanyal. Krishnendu Sanyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 9 | |
| 3 | 78 | |
| 4 | A Survey of Multiobjective Evolutionary Algorithms based on Decompositionbreakdown → | 427 |
| 5 | 2 | |
| 6 | 21 |
About Krishnendu Sanyal
Krishnendu Sanyal is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 6 papers that have together received 544 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (3 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Electric Power System Optimization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (385 citations), Artificial Intelligence (374 citations) and Management Science and Operations Research (67 citations). Krishnendu Sanyal has collaborated with scholars based in India and Singapore. Frequent co-authors include Dipti Srinivasan, Anupam Trivedi, Abhiroop Ghosh, Swagatam Das, Shounak Datta, K. Shanti Swarup and Rahul Mehta. Their work appears in journals such as Information Sciences, IEEE Transactions on Evolutionary Computation and Swarm and Evolutionary Computation.
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.