Paramvir Singh

1.8k citations
71 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Paramvir Singh

68 papers receiving 1.1k citations

Peers

Paramvir Singh
Comparison fields: 5 of 79
  • Fluid Flow and Transfer Processes 468
  • Computational Mechanics 313
  • Biomedical Engineering 658
  • Mechanical Engineering 396
  • Automotive Engineering 120
Replace Andrés Amell with:
Andrés Amell Colombia
Tine Seljak Slovenia
Cumali İlkılıç Türkiye
Ravikumar Jayabal India
Abul Kalam Hossain United Kingdom
Mehmet Çeli̇k Türkiye
Bheru Lal Salvi India
Ankit Sonthalia India
João Sousa Cardoso Portugal
Paulo Roberto Wander Brazil
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Citations per field
00.5×3.3×
Andrés Amell · 1×
Citations per year

Countries citing papers authored by Paramvir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Paramvir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20258
3 20250
4 20251
5 20255
6 20250
7 20251
8 20242
9 202411
10 202324
11 202325
12 20227
13 20219
14 202017
15 201990
16 20191
17
Optimization of transesterification process for biodiesel production from waste oil.
20131
18
Effect of Exercise Rehabilitation Programme on Clinical Health Status of Osteoarthritis Knee Patients
20113
19 20055
20 20029

About Paramvir Singh

Paramvir Singh is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Energy Engineering and Power Technology and Automotive Engineering, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (42 papers), Biodiesel Production and Applications (35 papers), Thermochemical Biomass Conversion Processes (14 papers), Lubricants and Their Additives (12 papers), Combustion and flame dynamics (12 papers), Catalytic Processes in Materials Science (10 papers), Heat transfer and supercritical fluids (8 papers) and Vehicle emissions and performance (7 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (468 citations), Computational Mechanics (313 citations), Biomedical Engineering (658 citations), Mechanical Engineering (396 citations) and Automotive Engineering (120 citations). Paramvir Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Varun Goel, Sant Ram Chauhan, Ashwani K. Gupta, Varun, Kiran Raj Goud Burra, Sudarshan Kumar, Rajneesh Kumar, Bhupendra Khandelwal, Saurabh Sharma and Sankar Bhattacharya. Their work appears in journals such as Fuel, Journal of Energy Resources Technology, Renewable and Sustainable Energy Reviews, Applied Energy and The Aeronautical Journal.

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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