Tandra Pal
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 21
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Provas Kumar Roy (5 shared papers)Moumita Pradhan (5 shared papers)Samarjit Kar (17 shared papers)Sujit Ranjan Das (10 shared papers)Nikhil Ranjan Pal (8 shared papers)Saibal Majumder (7 shared papers)Arindam Dey (7 shared papers)Kaustuv Nag (6 shared papers)
In The Last Decade
Tandra Pal
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Management Science and Operations Research 406
- Statistics and Probability 186
- Control and Systems Engineering 344
- Computational Theory and Mathematics 232
- Artificial Intelligence 409
Countries citing papers authored by Tandra Pal
This map shows the geographic impact of Tandra Pal'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 Tandra Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tandra Pal more than expected).
Fields of papers citing papers by Tandra Pal
This network shows the impact of papers produced by Tandra Pal. 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 Tandra Pal. The network helps show where Tandra Pal may publish in the future.
Co-authors
The 25 scholars most cited alongside Tandra Pal, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 234 | |
| 2 | 2017 | 114 | |
| 3 | 2016 | 72 | |
| 4 | 2018 | 70 | |
| 5 | 2018 | 55 | |
| 6 | 2016 | 41 | |
| 7 | 2022 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2017 | 32 | |
| 14 | 2015 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2003 | 23 | |
| 17 | 2017 | 23 | |
| 18 | 1999 | 21 | |
| 19 | 2020 | 18 | |
| 20 | 2014 | 18 |
About Tandra Pal
Tandra Pal is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (21 papers), Optimization and Mathematical Programming (13 papers), Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Vehicle Routing Optimization Methods (8 papers), Fuzzy Logic and Control Systems (8 papers) and Fuzzy Systems and Optimization (8 papers). The work is most often cited by research in Management Science and Operations Research (406 citations), Statistics and Probability (186 citations), Control and Systems Engineering (344 citations), Computational Theory and Mathematics (232 citations) and Artificial Intelligence (409 citations). Tandra Pal has collaborated with scholars based in India, Belgium and Denmark. Frequent co-authors include Provas Kumar Roy, Moumita Pradhan, Samarjit Kar, Sujit Ranjan Das, Nikhil Ranjan Pal, Saibal Majumder, Arindam Dey, Kaustuv Nag, Anita Pal and Mohuya B. Kar. Their work appears in journals such as Soft Computing, Journal of Intelligent & Fuzzy Systems, Neural Computing and Applications, Ain Shams Engineering Journal and Expert Systems with Applications.
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.