Rituparna Datta
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Kalyanmoy DebRommel G. RegisBishakh BhattacharyaSlim BechikhAviv SegevAmit SahaAnima MajumderÖ. Ciftcioglu
- Topics
- Advanced Multi-Objective Optimization Algorithms (16 papers)Metaheuristic Optimization Algorithms Research (12 papers)Evolutionary Algorithms and Applications (9 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Rituparna Datta
44 papers receiving 681 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 352
- Artificial Intelligence 328
- Control and Systems Engineering 114
- Mechanical Engineering 93
- Electrical and Electronic Engineering 85
Countries citing papers authored by Rituparna Datta
This map shows the geographic impact of Rituparna Datta'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 Rituparna Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rituparna Datta more than expected).
Fields of papers citing papers by Rituparna Datta
This network shows the impact of papers produced by Rituparna Datta. 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 Rituparna Datta. The network helps show where Rituparna Datta may publish in the future.
Co-authorship network of co-authors of Rituparna Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Rituparna Datta. A scholar is included among the top collaborators of Rituparna Datta 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 Rituparna Datta. Rituparna Datta 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 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 35 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 93 | |
| 17 | 9 | |
| 18 | 9 | |
| 19 | 15 | |
| 20 | 43 |
About Rituparna Datta
Rituparna Datta is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Radiological and Ultrasound Technology, having authored 48 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (16 papers), Metaheuristic Optimization Algorithms Research (12 papers) and Evolutionary Algorithms and Applications (9 papers). The work is most often cited by research in Computational Theory and Mathematics (352 citations), Artificial Intelligence (328 citations) and Industrial and Manufacturing Engineering (82 citations). Rituparna Datta has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Kalyanmoy Deb, Rommel G. Regis, Bishakh Bhattacharya, Slim Bechikh, Aviv Segev, Amit Saha, Anima Majumder, Ö. Ciftcioglu, M. Fernanda P. Costa and Jong-Hwan Kim. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Systems Man and Cybernetics Systems.
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.