Pushpendra Singh

500 papers receiving 7.9k citations

Peers

Pushpendra Singh
Comparison fields: 5 of 202
  • Small Animals 367
  • Complementary and Manual Therapy 95
  • Fluid Flow and Transfer Processes 283
  • Computational Mechanics 913
  • Nuclear and High Energy Physics 544
Replace Sanjeev Sharma with:
Sanjeev Sharma India
Бо Лю China
Lin Li China
Wei Wang China
Harry Smith United Kingdom
Lili Wang China
Michael Rosen United States
Robert A. Clark United States
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Pushpendra Singh relative to Sanjeev Sharma India Sanjeev Sharma's profile →
Citations per field
00.5×4.2×
Sanjeev Sharma · 1×
Citations per year

Countries citing papers authored by Pushpendra Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pushpendra Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 545 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000300
2 2019207
3 1997135
4 2001127
5 2000118
6 2005117
7 200598
8 201992
9 200490
10 200888
11 200083
12 201780
13 201479
14 200778
15 201678
16 202175
17 200774
18 201874
19 198373
20 200973

About Pushpendra Singh

Pushpendra Singh is a scholar working on Electrical and Electronic Engineering, Plant Science, Epidemiology, Biomedical Engineering and Soil Science, having authored 545 papers that have together received 8.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (49 papers), Nuclear physics research studies (37 papers), Smart Grid Energy Management (34 papers), Optimal Power Flow Distribution (25 papers), Atomic and Molecular Physics (25 papers), ICT in Developing Communities (25 papers), Tuberculosis Research and Epidemiology (21 papers) and Agricultural Economics and Practices (21 papers). The work is most often cited by research in Small Animals (367 citations), Complementary and Manual Therapy (95 citations), Fluid Flow and Transfer Processes (283 citations), Computational Mechanics (913 citations) and Nuclear and High Energy Physics (544 citations). Pushpendra Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Nadine Aubry, D. D. Joseph, Ajay Vir Singh, Shoor Vir Singh, Jagdip Singh Sohal, Rajiv K. Singh, Roland Glowinski, Tsorng‐Whay Pan, Kaushik Pal and Haroon Rashid. Their work appears in journals such as Physical review. C, Mechanics Research Communications, Electrophoresis, Comparative Immunology Microbiology and Infectious Diseases and Journal of Non-Newtonian Fluid Mechanics.

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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