Tapabrata Ray
- Computational Theory and Mathematics top 0.05%
- Artificial Intelligence top 0.2%
- Management Science and Operations Research top 0.5%
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Ruhul SarkerHemant Kumar SinghK.M. LiewMd AsafuddoulaSaber ElsayedKang TaiPankaj SainiWarren Smith
- Topics
- Advanced Multi-Objective Optimization Algorithms (126 papers)Metaheuristic Optimization Algorithms Research (82 papers)Evolutionary Algorithms and Applications (43 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
Tapabrata Ray
227 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Computational Theory and Mathematics 3.3k
- Artificial Intelligence 3.3k
- Management Science and Operations Research 905
- Control and Systems Engineering 803
- Electrical and Electronic Engineering 672
Countries citing papers authored by Tapabrata Ray
This map shows the geographic impact of Tapabrata Ray'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 Tapabrata Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapabrata Ray more than expected).
Fields of papers citing papers by Tapabrata Ray
This network shows the impact of papers produced by Tapabrata Ray. 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 Tapabrata Ray. The network helps show where Tapabrata Ray may publish in the future.
Co-authorship network of co-authors of Tapabrata Ray
This figure shows the co-authorship network connecting the top 25 collaborators of Tapabrata Ray. A scholar is included among the top collaborators of Tapabrata Ray 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 Tapabrata Ray. Tapabrata Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 6 | |
| 13 | 19 | |
| 14 | 21 | |
| 15 | 113 | |
| 16 | 22 | |
| 17 | 59 | |
| 18 | 91 | |
| 19 | 46 | |
| 20 | 3 |
About Tapabrata Ray
Tapabrata Ray is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 237 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (126 papers), Metaheuristic Optimization Algorithms Research (82 papers) and Evolutionary Algorithms and Applications (43 papers). The work is most often cited by research in Computational Theory and Mathematics (3.3k citations), Artificial Intelligence (3.3k citations) and Management Science and Operations Research (905 citations). Tapabrata Ray has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Ruhul Sarker, Hemant Kumar Singh, K.M. Liew, Md Asafuddoula, Saber Elsayed, Kang Tai, Pankaj Saini, Warren Smith, Amitay Isaacs and Sreenatha G. Anavatti. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.
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.