Supriya Kumar De

24 papers receiving 1.3k citations

Supriya Kumar De's Hit Papers

An application of intuitionistic fuzzy sets in medical diagnosis 2001 · 725 citations
7250+8+16Years since publication200400600

Peers

Supriya Kumar De
Comparison fields: 5 of 92
  • Management Science and Operations Research 1.0k
  • Statistics and Probability 431
  • Computational Theory and Mathematics 389
  • Artificial Intelligence 547
  • Control and Systems Engineering 348
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Marian B. Gorzałczany Poland
María Luque Spain
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Junlin Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Supriya Kumar De

Since Specialization
Citations

This map shows the geographic impact of Supriya Kumar De'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 Supriya Kumar De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Kumar De more than expected).

Fields of papers citing papers by Supriya Kumar De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supriya Kumar De. 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 Supriya Kumar De. The network helps show where Supriya Kumar De may publish in the future.

Co-authors

The 13 scholars most cited alongside Supriya Kumar De, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Supriya Kumar De Line = papers co-authored together Supriya Kumar De links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An application of intuitionistic fuzzy sets in medical diagnosis
Hit paper breakdown →
2001725
2 2000423
3 200760
4 200451
5 202322
6 198321
7 201921
8 200114
9 200910
10 20049
11 20068
12 19936
13 20056
14 20116
15 20046
16 20015
17 20035
18 20025
19 20194
20 20053

About Supriya Kumar De

Supriya Kumar De is a scholar working on Information Systems, Signal Processing, Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (10 papers), Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (4 papers), Sentiment Analysis and Opinion Mining (2 papers), Digital Marketing and Social Media (2 papers), Fuzzy Logic and Control Systems (2 papers) and ICT Impact and Policies (2 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Statistics and Probability (431 citations), Computational Theory and Mathematics (389 citations), Artificial Intelligence (547 citations) and Control and Systems Engineering (348 citations). Supriya Kumar De has collaborated with scholars based in India and United States. Frequent co-authors include Ranjit Biswas, P. Radha Krishna, Pradeep Kumar, Raju S. Bapi, Nithin Mathew, Apalak Khatua, Biplab Datta, Ashis K. Pani, N. R. Manoj and Dennis G. Peiffer. Their work appears in journals such as Fuzzy Sets and Systems, Transportation Research Part A Policy and Practice, Polymer, Journal of Intelligent & Fuzzy Systems and Journal of Materials Science.

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.

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