Pradeep Kumar

63 papers receiving 1.3k citations

Peers

Pradeep Kumar
Comparison fields: 5 of 124
  • Immunology 262
  • Parasitology 71
  • Information Systems 173
  • Public Administration 42
  • Statistical and Nonlinear Physics 70
Replace Olivier Gandrillon with:
Olivier Gandrillon France
Sook‐San Wong United States
Tin Wee Tan Singapore
Pieter Meysman Belgium
Kristin Reiche Germany
Sylvia Nagl United Kingdom
Max von Kleist Germany
Sarah Cohen‐Boulakia France
Noel R. Ling United Kingdom
Thodoros Topaloglou Canada
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Citations per field
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Olivier Gandrillon · 1×
Citations per year

Countries citing papers authored by Pradeep Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011409
2 2012240
3 201586
4 200770
5 202036
6 201834
7 201930
8 201029
9 201627
10 199525
11 201725
12 200523
13 201723
14 201718
15 200714
16 201114
17 201012
18 201612
19 202012
20 202112

About Pradeep Kumar

Pradeep Kumar is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computational Theory and Mathematics and Public Administration, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Complex Network Analysis Techniques (7 papers), Rough Sets and Fuzzy Logic (6 papers), Data Mining Algorithms and Applications (6 papers), Privacy-Preserving Technologies in Data (5 papers), Recommender Systems and Techniques (5 papers), Labor market dynamics and wage inequality (5 papers) and Advanced Differential Geometry Research (5 papers). The work is most often cited by research in Immunology (262 citations), Parasitology (71 citations), Information Systems (173 citations), Public Administration (42 citations) and Statistical and Nonlinear Physics (70 citations). Pradeep Kumar has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Avinash R. Shenoy, John D. MacMicking, Bae-Hoon Kim, Bharat Bhasker, Sangeeta Tiwari, Rituparna Das, Clinton J. Bradfield, Rajhans Mishra, Raju Surampudi Bapi and Pisipati Radha Krishna. Their work appears in journals such as Expert Systems with Applications, Canadian Journal of Economics/Revue canadienne d économique, Decision Support Systems, International Journal of Data Warehousing and Mining and Canadian Public Policy.

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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