Bapi Dutta
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 34
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- Cognitive Science and Mapping 6
- Bayesian Modeling and Causal Inference 6
- Co-authors
- Debashree Guha (13 shared papers)Luis Martı́nez (22 shared papers)Álvaro Labella (5 shared papers)Satyajit Das (4 shared papers)Rosa M. Rodríguez (6 shared papers)Mark Goh (5 shared papers)Diego García‐Zamora (11 shared papers)Radko Mesiar (4 shared papers)
In The Last Decade
Bapi Dutta
45 papers receiving 842 citations
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 567
- Statistics and Probability 138
- Computational Theory and Mathematics 149
- Artificial Intelligence 251
- Control and Systems Engineering 158
Countries citing papers authored by Bapi Dutta
This map shows the geographic impact of Bapi Dutta'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 Bapi Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bapi Dutta more than expected).
Fields of papers citing papers by Bapi Dutta
This network shows the impact of papers produced by Bapi Dutta. 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 Bapi Dutta. The network helps show where Bapi Dutta may publish in the future.
Co-authors
The 25 scholars most cited alongside Bapi Dutta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 109 | |
| 2 | 2021 | 83 | |
| 3 | 2015 | 72 | |
| 4 | 2014 | 52 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 39 | |
| 7 | 2020 | 38 | |
| 8 | 2019 | 36 | |
| 9 | 2022 | 32 | |
| 10 | 2019 | 31 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 26 | |
| 13 | 2023 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2023 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2023 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2021 | 14 |
About Bapi Dutta
Bapi Dutta is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics and Statistics and Probability, having authored 47 papers that have together received 868 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (34 papers), Optimization and Mathematical Programming (11 papers), Fuzzy Systems and Optimization (9 papers), Rough Sets and Fuzzy Logic (8 papers), Cognitive Science and Mapping (6 papers), Bayesian Modeling and Causal Inference (6 papers), Sustainable Supply Chain Management (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (567 citations), Statistics and Probability (138 citations), Computational Theory and Mathematics (149 citations), Artificial Intelligence (251 citations) and Control and Systems Engineering (158 citations). Bapi Dutta has collaborated with scholars based in Spain, India and Singapore. Frequent co-authors include Debashree Guha, Luis Martı́nez, Álvaro Labella, Satyajit Das, Rosa M. Rodríguez, Mark Goh, Diego García‐Zamora, Radko Mesiar, Son Duy Dao and Uttam Kumar Mandal. Their work appears in journals such as International Journal of Computational Intelligence Systems, Expert Systems with Applications, Information Sciences, Computers & Industrial Engineering and International Journal of Intelligent 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.