Prasad Perlekar

1.4k total citations
52 papers, 982 citations indexed

About

Prasad Perlekar is a scholar working on Computational Mechanics, Ocean Engineering and Condensed Matter Physics. According to data from OpenAlex, Prasad Perlekar has authored 52 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mechanics, 20 papers in Ocean Engineering and 13 papers in Condensed Matter Physics. Recurrent topics in Prasad Perlekar's work include Fluid Dynamics and Turbulent Flows (31 papers), Particle Dynamics in Fluid Flows (20 papers) and Micro and Nano Robotics (9 papers). Prasad Perlekar is often cited by papers focused on Fluid Dynamics and Turbulent Flows (31 papers), Particle Dynamics in Fluid Flows (20 papers) and Micro and Nano Robotics (9 papers). Prasad Perlekar collaborates with scholars based in India, Netherlands and Italy. Prasad Perlekar's co-authors include Rahul Pandit, Federico Toschi, Dhrubaditya Mitra, Mauro Sbragaglia, Luca Biferale, Roberto Benzi, David R. Nelson, Samriddhi Sankar Ray, Anupam Gupta and Marco Edoardo Rosti and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Fluid Mechanics.

In The Last Decade

Prasad Perlekar

51 papers receiving 959 citations

Peers

Prasad Perlekar
Comparison fields: 5 of 66
  • Computational Mechanics 682
  • Ocean Engineering 261
  • Fluid Flow and Transfer Processes 169
  • Biomedical Engineering 168
  • Electrical and Electronic Engineering 110
Replace Yacine Amarouchène with:
Yacine Amarouchène France
Innocent Mutabazi France
Nicolas François Australia
D. V. Lyubimov Russia
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Denis Gueyffier France
C. David Andereck United States
Alexander Gelfgat Israel
Ivan C. Christov United States
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Citations per field, relative to Prasad Perlekar
Prasad Perlekar · 1×
Citations per year, relative to Prasad Perlekar
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Countries citing papers authored by Prasad Perlekar

Since Specialization
Citations

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

Fields of papers citing papers by Prasad Perlekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasad Perlekar

This figure shows the co-authorship network connecting the top 25 collaborators of Prasad Perlekar. A scholar is included among the top collaborators of Prasad Perlekar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prasad Perlekar. Prasad Perlekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 4
3 23
4 8
5 0
6 13
7 11
8 6
9 10
10 6
11 16
12 57
13 13
14 38
15 28
16 88
17 19
18 17
19 46
20 39

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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