Rajagopalan Devanathan

415 citations
71 papers · 298 · h-index 8

Impact in

Papers in

Rajagopalan Devanathan

57 papers receiving 266 citations

Peers

Rajagopalan Devanathan
Comparison fields: 5 of 52
  • Control and Systems Engineering 154
  • Industrial and Manufacturing Engineering 52
  • Computational Theory and Mathematics 62
  • Mechanical Engineering 67
  • Hardware and Architecture 10
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Citations per year

Countries citing papers authored by Rajagopalan Devanathan

Since Specialization
Citations

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

Fields of papers citing papers by Rajagopalan Devanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Rajagopalan Devanathan, 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 Rajagopalan Devanathan Line = papers co-authored together Rajagopalan Devanathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199428
2 200124
3 200222
4 200022
5 199421
6 199616
7 201215
8 199513
9 19958
10 19938
11 20158
12 19967
13 19876
14 20066
15 20046
16 20186
17 20026
18 19935
19 20164
20 20024

About Rajagopalan Devanathan

Rajagopalan Devanathan is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Numerical Analysis and Computer Networks and Communications, having authored 71 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (13 papers), Fault Detection and Control Systems (11 papers), Formal Methods in Verification (9 papers), Sensorless Control of Electric Motors (9 papers), Petri Nets in System Modeling (9 papers), Iterative Learning Control Systems (6 papers), Manufacturing Process and Optimization (6 papers) and Electric Motor Design and Analysis (6 papers). The work is most often cited by research in Control and Systems Engineering (154 citations), Industrial and Manufacturing Engineering (52 citations), Computational Theory and Mathematics (62 citations), Mechanical Engineering (67 citations) and Hardware and Architecture (10 citations). Rajagopalan Devanathan has collaborated with scholars based in Singapore, India and Japan. Frequent co-authors include Kiam Tian Seow, Xiaoqi Chen, A. K. Parvathy, Zhenguo Sun, Hongyu Luo, Kar‐Ann Toh, V. Kamaraj and Vijayarajan Kamaraj. Their work appears in journals such as IEEE Transactions on Automatic Control, Asian Journal of Control, Systems & Control Letters, IEEE Transactions on Control Systems Technology and International Journal of Control.

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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