Prashant Kumar Gupta

1.3k citations
118 papers · 902 · h-index 15

Impact in

Papers in

Prashant Kumar Gupta

96 papers receiving 841 citations

Peers

Prashant Kumar Gupta
Comparison fields: 5 of 145
  • Pharmaceutical Science 156
  • Management Science and Operations Research 101
  • Artificial Intelligence 265
  • Complementary and Manual Therapy 15
  • Oral Surgery 40
Replace David A. Fisher with:
David A. Fisher United States
Uzma Farooq India
Ting Ye China
Anand Kumar India
Jemin Kim South Korea
Albert Hyukjae Kwon United States
Joonsoo Park South Korea
Patrick Li China
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Citations per field
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Citations per year

Countries citing papers authored by Prashant Kumar Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prashant Kumar Gupta, 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 Prashant Kumar Gupta Line = papers co-authored together Prashant Kumar Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005153
2 200774
3 200962
4 201242
5
Cross-document Event Extraction and Tracking: Task, Evaluation, Techniques and Challenges
200930
6 201729
7 201526
8 201922
9 201621
10 201421
11 202421
12 202118
13 201717
14 202116
15 201815
16 201915
17 201814
18 202214
19 202013
20 202213

About Prashant Kumar Gupta

Prashant Kumar Gupta is a scholar working on Artificial Intelligence, Management Science and Operations Research, Anesthesiology and Pain Medicine, Computer Vision and Pattern Recognition and Information Systems, having authored 118 papers that have together received 902 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (15 papers), Multi-Criteria Decision Making (13 papers), Anesthesia and Pain Management (6 papers), Neural Networks and Applications (6 papers), Topic Modeling (5 papers), Rough Sets and Fuzzy Logic (4 papers), Advanced Text Analysis Techniques (4 papers) and Anesthesia and Sedative Agents (4 papers). The work is most often cited by research in Pharmaceutical Science (156 citations), Management Science and Operations Research (101 citations), Artificial Intelligence (265 citations), Complementary and Manual Therapy (15 citations) and Oral Surgery (40 citations). Prashant Kumar Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Pranab Kumar Muhuri, Heng Ji, Praveen Kumar Dubey, Amit Kumar Rawat, Sunil Mahor, Suresh Prasad Vyas, Vijay Kumar Mishra, Ravindra Pratap Singh, Sanyog Jain and Paramjit Singh. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, International Journal of Pharmaceutics, Applied Soft Computing, Neurocomputing and Proceedings of the VLDB Endowment.

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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