Pradeep Kumar

623 citations
50 papers · 475 · h-index 14

Impact in

Papers in

Pradeep Kumar

47 papers receiving 461 citations

Peers

Pradeep Kumar
Comparison fields: 5 of 45
  • Computational Mechanics 234
  • Biomedical Engineering 368
  • Mechanical Engineering 284
  • Fluid Flow and Transfer Processes 23
  • Statistical and Nonlinear Physics 23
Replace Nader Ben Cheikh with:
Nader Ben Cheikh Tunisia
J. Madhu India
Yadong Du China
J. Iqbal Pakistan
Dewen Yuan China
Lian Hu China
Tayyab Zamir Pakistan
A. A. Merrikh United States
Ce Yang China
C.J. Liu China
Pradeep Kumar relative to Nader Ben Cheikh Tunisia Nader Ben Cheikh's profile →
Citations per field
00.5×5×10×16.8×
Nader Ben Cheikh · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202436
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5 201622
6 202318
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10 202316
11 202415
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19 202410
20 20249

About Pradeep Kumar

Pradeep Kumar is a scholar working on Mechanical Engineering, Biomedical Engineering, Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 50 papers that have together received 475 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (34 papers), Heat Transfer Mechanisms (31 papers), Fluid Dynamics and Turbulent Flows (23 papers), Heat Transfer and Optimization (21 papers), Lattice Boltzmann Simulation Studies (5 papers), Heat and Mass Transfer in Porous Media (4 papers), Plasma and Flow Control in Aerodynamics (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Computational Mechanics (234 citations), Biomedical Engineering (368 citations), Mechanical Engineering (284 citations), Fluid Flow and Transfer Processes (23 citations) and Statistical and Nonlinear Physics (23 citations). Pradeep Kumar has collaborated with scholars based in India, United Arab Emirates and Germany. Frequent co-authors include B. Nagaraja, Qasem M. Al‐Mdallal, P. Venkatesh, B.J. Gireesha, Richard Semaan, B. J. Gireesha, Ali Yousef, Fahd Jarad, Rolf Radespiel and Bernd R. Noack. Their work appears in journals such as International Journal of Thermofluids, Applied Thermal Engineering, Alexandria Engineering Journal, International Communications in Heat and Mass Transfer and Case Studies in Thermal Engineering.

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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