Pramod Kumar

837 citations
59 papers · 598 · h-index 15

Impact in

Papers in

Pramod Kumar

52 papers receiving 573 citations

Peers

Pramod Kumar
Comparison fields: 5 of 73
  • Environmental Engineering 337
  • Atmospheric Science 232
  • Health, Toxicology and Mutagenesis 158
  • Global and Planetary Change 159
  • Statistical and Nonlinear Physics 48
Replace M.P. Singh with:
M.P. Singh India
John S. Irwin United States
T. Tirabassi Italy
Massimo Marro France
William R. Goodin United States
G. Brusasca Italy
Patrick Armand France
Clara García‐Sánchez United States
George Efthimiou Greece
Elsa Aristodemou United Kingdom
Pramod Kumar relative to M.P. Singh India M.P. Singh's profile →
Citations per field
00.5×7.3×
M.P. Singh · 1×
Citations per year

Countries citing papers authored by Pramod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201545
2 200943
3 200941
4 201738
5 201537
6 201131
7 200926
8 201626
9 201023
10 201821
11 202219
12 200218
13 201117
14 201317
15 201716
16 202413
17 201913
18 202111
19 201511
20 201510

About Pramod Kumar

Pramod Kumar is a scholar working on Environmental Engineering, Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis and Mechanical Engineering, having authored 59 papers that have together received 598 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (25 papers), Atmospheric chemistry and aerosols (16 papers), Air Quality and Health Impacts (14 papers), Atmospheric and Environmental Gas Dynamics (11 papers), Meteorological Phenomena and Simulations (8 papers), Air Quality Monitoring and Forecasting (8 papers), Nanofluid Flow and Heat Transfer (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Environmental Engineering (337 citations), Atmospheric Science (232 citations), Health, Toxicology and Mutagenesis (158 citations), Global and Planetary Change (159 citations) and Statistical and Nonlinear Physics (48 citations). Pramod Kumar has collaborated with scholars based in India, France and United States. Frequent co-authors include Maithili Sharan, Sarvesh Kumar Singh, Jean‐Pierre Issartel, S.C. Kaushik, S. K. Tyagi, Philip K. Hopke, Sanjeev Jain, Traci L. Lersch, Pallath Chandran and Gary S. Casuccio. Their work appears in journals such as Atmospheric Environment, Atmospheric measurement techniques, Atmospheric Research, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Journal of Mathematical Analysis and Applications.

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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