Arvind U. Raghunathan

74 papers receiving 1.4k citations

Peers

Arvind U. Raghunathan
Comparison fields: 5 of 81
  • Computer Graphics and Computer-Aided Design 121
  • Hardware and Architecture 168
  • Numerical Analysis 108
  • Control and Systems Engineering 452
  • Computer Networks and Communications 393
Replace Cid C. de Souza with:
Cid C. de Souza Brazil
Tobias Achterberg Germany
Tomasz Radzik United Kingdom
Anthony Vannelli Canada
Hilding Elmqvist Sweden
Wenxing Zhu China
S. J. Hong United States
Warren P. Adams United States
Marc E. Pfetsch Germany
Ernesto Kofman Argentina
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Citations per year

Countries citing papers authored by Arvind U. Raghunathan

Since Specialization
Citations

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

Fields of papers citing papers by Arvind U. Raghunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind U. Raghunathan. 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 Arvind U. Raghunathan. The network helps show where Arvind U. Raghunathan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992119
2 2004102
3 200393
4 200687
5 199277
6 200577
7 200273
8 200472
9 199150
10 201249
11 200647
12 199035
13 199232
14 201132
15 200329
16 202028
17 198828
18 200226
19 201326
20 201724

About Arvind U. Raghunathan

Arvind U. Raghunathan is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (17 papers), Advanced Optimization Algorithms Research (9 papers), Robotic Path Planning Algorithms (7 papers), Distributed and Parallel Computing Systems (7 papers), Optimization and Search Problems (6 papers), Robotic Mechanisms and Dynamics (6 papers), Computational Geometry and Mesh Generation (6 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (121 citations), Hardware and Architecture (168 citations), Numerical Analysis (108 citations), Control and Systems Engineering (452 citations) and Computer Networks and Communications (393 citations). Arvind U. Raghunathan has collaborated with scholars based in United States, Japan and Chile. Frequent co-authors include Lorenz T. Biegler, Dharmashankar Subramanian, Donald E. Knuth, Stefano Di Cairano, Huzur Saran, G. Koren, Louis E. Rosier, Bud Mishra, Sanjoy Baruah and Dennis Shasha. Their work appears in journals such as Computers & Chemical Engineering, INFORMS journal on computing, SIAM Journal on Optimization, SIAM Journal on Discrete Mathematics and IEEE Transactions on Robotics.

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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