Pradeep Kumar
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Data Mining Algorithms and Applications 13
- Recommender Systems and Techniques 7
-
- Advanced Clustering Algorithms Research 9
- Co-authors
- John D. MacMicking (2 shared papers)Avinash R. Shenoy (2 shared papers)Bae-Hoon Kim (2 shared papers)Bharat Bhasker (14 shared papers)Sangeeta Tiwari (1 shared paper)Rituparna Das (1 shared paper)Clinton J. Bradfield (1 shared paper)Rajhans Mishra (6 shared papers)
- Journals
- Canadian Public Policy (2 papers)International Journal of Data Warehousing and Mining (2 papers)Expert Systems with Applications (2 papers)Data & Knowledge Engineering (2 papers)Decision Support Systems (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Pradeep Kumar
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 145
- Parasitology 110
- Immunology 306
- Public Administration 50
- Information Systems 233
- Statistical and Nonlinear Physics 103
Countries citing papers authored by Pradeep Kumar
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
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.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 391 | |
| 2 | 2012 | 230 | |
| 3 | 2015 | 84 | |
| 4 | 2007 | 71 | |
| 5 | 2010 | 42 | |
| 6 | 2020 | 37 | |
| 7 | 1986 | 35 | |
| 8 | 2010 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2019 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 1995 | 26 | |
| 13 | 2017 | 25 | |
| 14 | 2017 | 23 | |
| 15 | 2005 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2017 | 18 | |
| 18 | 2007 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2010 | 12 |
About Pradeep Kumar
Pradeep Kumar is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (9 papers), Advanced Clustering Algorithms Research (9 papers), Data Management and Algorithms (8 papers), Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (7 papers), Labor Movements and Unions (6 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Parasitology (110 citations), Immunology (306 citations), Public Administration (50 citations), Information Systems (233 citations) and Statistical and Nonlinear Physics (103 citations). Pradeep Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include John D. MacMicking, Avinash R. Shenoy, Bae-Hoon Kim, Bharat Bhasker, Sangeeta Tiwari, Rituparna Das, Clinton J. Bradfield, Rajhans Mishra, Samrat Gupta and P. Radha Krishna. Their work appears in journals such as Canadian Public Policy, International Journal of Data Warehousing and Mining, Expert Systems with Applications, Data & Knowledge Engineering and Decision Support 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.