Paramsothy Jayakumar

2.8k total citations
163 papers, 2.0k citations indexed

About

Paramsothy Jayakumar is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Paramsothy Jayakumar has authored 163 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Civil and Structural Engineering, 53 papers in Control and Systems Engineering and 49 papers in Mechanical Engineering. Recurrent topics in Paramsothy Jayakumar's work include Soil Mechanics and Vehicle Dynamics (56 papers), Vehicle Dynamics and Control Systems (26 papers) and Dynamics and Control of Mechanical Systems (25 papers). Paramsothy Jayakumar is often cited by papers focused on Soil Mechanics and Vehicle Dynamics (56 papers), Vehicle Dynamics and Control Systems (26 papers) and Dynamics and Control of Mechanical Systems (25 papers). Paramsothy Jayakumar collaborates with scholars based in United States, India and Canada. Paramsothy Jayakumar's co-authors include Tulga Ersal, Jeffrey L. Stein, Jiechao Liu, Dan Negruţ, David Gorsich, Hiroyuki Sugiyama, Radu Serban, Hiroki Yamashita, Mark Brudnak and Tamer M. Wasfy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Access.

In The Last Decade

Paramsothy Jayakumar

148 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paramsothy Jayakumar United States 25 642 638 578 556 369 163 2.0k
Hong Wang China 25 440 0.7× 119 0.2× 1.1k 1.8× 197 0.4× 654 1.8× 154 2.3k
Dan Negruţ United States 28 1.0k 1.6× 539 0.8× 348 0.6× 513 0.9× 117 0.3× 172 2.2k
Laura Ray United States 22 619 1.0× 844 1.3× 819 1.4× 746 1.3× 112 0.3× 106 2.1k
Bahram Ravani United States 33 1.6k 2.6× 217 0.3× 225 0.4× 968 1.7× 489 1.3× 201 3.5k
David M. Bevly United States 30 1.2k 1.8× 491 0.8× 1.5k 2.6× 648 1.2× 427 1.2× 195 3.2k
Mark Lowenberg United Kingdom 23 830 1.3× 308 0.5× 559 1.0× 579 1.0× 58 0.2× 231 2.5k
Meyer Nahon Canada 38 2.1k 3.3× 271 0.4× 214 0.4× 413 0.7× 417 1.1× 169 3.9k
Yukinori Kobayashi Japan 20 651 1.0× 328 0.5× 148 0.3× 235 0.4× 712 1.9× 140 1.5k
Xiaolan Wang China 22 158 0.2× 278 0.4× 231 0.4× 433 0.8× 171 0.5× 116 1.4k

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-authorship network of co-authors of Paramsothy Jayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Paramsothy Jayakumar. A scholar is included among the top collaborators of Paramsothy Jayakumar 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 Paramsothy Jayakumar. Paramsothy Jayakumar 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
1.
2.
Carruth, Daniel W., et al.. (2024). Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance. Journal of Field Robotics. 41(3). 798–810. 1 indexed citations
3.
Goodin, C., et al.. (2024). Override forces through clumps of small vegetation. Journal of Terramechanics. 116. 100988–100988. 1 indexed citations
4.
Jayakumar, Paramsothy, et al.. (2024). Exploration of robust and intelligent navigation algorithms to ensure off-road autonomous vehicle mobility. International Journal of Vehicle Performance. 10(3). 239–267. 1 indexed citations
5.
Epureanu, Bogdan I., et al.. (2024). A Real-Time Terrain-Adaptive Local Trajectory Planner for High-Speed Autonomous Off-Road Navigation on Deformable Terrains. IEEE Transactions on Intelligent Transportation Systems. 26(3). 3324–3340. 1 indexed citations
6.
Thomas, Jobin, et al.. (2024). Predicting USCS soil texture classes utilizing soil spectra and deep learning. Journal of Soils and Sediments. 24(11). 3594–3609. 2 indexed citations
7.
Bos, Jeremy P., et al.. (2021). Unstructured with a Point: Validation and Robustness Evaluation of Point-Cloud Based Path Planning. SAE International Journal of Advances and Current Practices in Mobility. 3(4). 1776–1789. 1 indexed citations
8.
Pandey, Vijitashwa, Jeremy P. Bos, Thomas Oommen, et al.. (2021). Decision-Making for Autonomous Mobility Using Remotely Sensed Terrain Parameters in Off-Road Environments. SAE International Journal of Advances and Current Practices in Mobility. 3(4). 1682–1689. 2 indexed citations
9.
Bos, Jeremy P., et al.. (2021). Supervised Terrain Classification with Adaptive Unsupervised Terrain Assessment. SAE International Journal of Advances and Current Practices in Mobility. 3(5). 2337–2344. 3 indexed citations
10.
Jiang, Chen, Zhen Hu, Zissimos P. Mourelatos, et al.. (2021). R2-RRT*: Reliability-Based Robust Mission Planning of Off-Road Autonomous Ground Vehicle Under Uncertain Terrain Environment. IEEE Transactions on Automation Science and Engineering. 19(2). 1030–1046. 60 indexed citations
11.
Oommen, Thomas, et al.. (2021). Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning. Remote Sensing. 13(12). 2306–2306. 3 indexed citations
12.
Jayakumar, Paramsothy, et al.. (2020). Balancing Lifecycle Sustainment Cost with Value of Information during Design Phase. SAE International Journal of Advances and Current Practices in Mobility. 2(5). 2451–2458. 2 indexed citations
13.
Jayakumar, Paramsothy, et al.. (2018). On Identifying Related Objects from a Set. Journal of Advanced Research in Dynamical and Control Systems. 6. 1 indexed citations
14.
Jayakumar, Paramsothy, et al.. (2016). On The Homogeneous Biquadratic Equation With 5 Unknowns: x4-y4=65 (z2-w2) R2. International Journal of Science and Research (IJSR). 5(3). 1863–1866.
15.
Jayakumar, Paramsothy, et al.. (2016). Integer Solutions of Non-Homogeneous Ternary Cubic Equation x2+y2-xy=103z2. International Journal of Science and Research (IJSR). 5(3). 1777–1779.
16.
Jain, Abhinandan, Calvin Kuo, Paramsothy Jayakumar, & Jonathan Cameron. (2016). Constraint Embedding for Vehicle Suspension Dynamics. Archive of Mechanical Engineering. 63(2). 193–213. 2 indexed citations
17.
Jayakumar, Paramsothy, et al.. (2016). Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
18.
Jayakumar, Paramsothy, et al.. (2015). On Ternary Quadratic Diophantine Equation 8x2 + 8y2 -15xy = 40z2. International Journal of Science and Research (IJSR). 4(12). 654–655. 1 indexed citations
19.
Beck, James L. & Paramsothy Jayakumar. (1996). Class of Masing Models for Plastic Hysteresis in Structures. CaltechAUTHORS (California Institute of Technology). 1083–1090. 4 indexed citations
20.
Beck, James L. & Paramsothy Jayakumar. (1986). System Identification Applied to Pseudo-Dynamic Test Data: A Treatment of Experimental Errors. 505–512. 2 indexed citations

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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