Paramsothy Jayakumar

165 papers receiving 2.2k citations

Peers

Paramsothy Jayakumar
Comparison fields: 5 of 95
  • Automotive Engineering 641
  • Civil and Structural Engineering 747
  • Control and Systems Engineering 760
  • Computer Vision and Pattern Recognition 401
  • Mechanical Engineering 647
Replace Kin Huat Low with:
Kin Huat Low Singapore
Ichiro Hagiwara Japan
James Ferris Whidborne United Kingdom
Hong Wang China
Bahram Ravani United States
Dan Negruţ United States
David M. Bevly United States
Meyer A. Nahon Canada
Keiji Nagatani Japan
Brigitte d’Andréa-Novel France
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Citations per year

Countries citing papers authored by Paramsothy Jayakumar

Since Specialization
Citations

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

Fields of papers citing papers by Paramsothy Jayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201787
3 202085
4 201780
5 202174
6 201673
7 201753
8 201744
9 201742
10 201541
11 201440
12 202038
13 202136
14 201835
15 201333
16 201733
17 202032
18 201131
19 202031
20 201431

About Paramsothy Jayakumar

Paramsothy Jayakumar is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Automotive Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 185 papers that have together received 2.3k indexed citations. Recurring topics across this work include Soil Mechanics and Vehicle Dynamics (64 papers), Vehicle Dynamics and Control Systems (29 papers), Dynamics and Control of Mechanical Systems (28 papers), Robotic Path Planning Algorithms (22 papers), Autonomous Vehicle Technology and Safety (14 papers), Mechanical Engineering and Vibrations Research (12 papers), Transportation Safety and Impact Analysis (12 papers) and Tree Root and Stability Studies (12 papers). The work is most often cited by research in Automotive Engineering (641 citations), Civil and Structural Engineering (747 citations), Control and Systems Engineering (760 citations), Computer Vision and Pattern Recognition (401 citations) and Mechanical Engineering (647 citations). Paramsothy Jayakumar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Tulga Ersal, Jeffrey L. Stein, Jiechao Liu, Dan Negruţ, Hiroyuki Sugiyama, David Gorsich, Hiroki Yamashita, Radu Serban, Tamer M. Wasfy and Mark Brudnak. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Terramechanics, Journal of Computational and Nonlinear Dynamics, Human Factors The Journal of the Human Factors and Ergonomics Society and Nonlinear Dynamics.

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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