Devendra P. Garg

1.2k citations
92 papers · 786 · h-index 14

Impact in

Papers in

Devendra P. Garg

82 papers receiving 736 citations

Peers

Devendra P. Garg
Comparison fields: 5 of 94
  • Control and Systems Engineering 356
  • Computer Vision and Pattern Recognition 160
  • Computer Networks and Communications 157
  • Artificial Intelligence 152
  • Aerospace Engineering 103
Replace R. Shoureshi with:
R. Shoureshi United States
Carl D. Crane United States
Man Hyung Lee South Korea
Thomas Gustafsson Sweden
Matthew W. Dunnigan United Kingdom
Kuo Su Taiwan
Rini Akmeliawati Malaysia
R. Garrido Mexico
Weigong Zhang China
Muhammad Nasiruddin Mahyuddin Malaysia
Devendra P. Garg relative to R. Shoureshi United States R. Shoureshi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Devendra P. Garg

Since Specialization
Citations

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

Fields of papers citing papers by Devendra P. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devendra P. Garg. 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 Devendra P. Garg. The network helps show where Devendra P. Garg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002102
2 201060
3 200754
4 201145
5 199645
6 200145
7 200638
8 197629
9 199325
10 199623
11 197221
12 200417
13 199915
14 199813
15 200511
16 200311
17 200011
18 200810
19 20029
20 20048

About Devendra P. Garg

Devendra P. Garg is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering and Aerospace Engineering, having authored 92 papers that have together received 786 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (18 papers), Advanced Control Systems Optimization (16 papers), Distributed Control Multi-Agent Systems (11 papers), Robotic Mechanisms and Dynamics (8 papers), Adaptive Control of Nonlinear Systems (8 papers), Fault Detection and Control Systems (7 papers), Robotic Path Planning Algorithms (7 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Control and Systems Engineering (356 citations), Computer Vision and Pattern Recognition (160 citations), Computer Networks and Communications (157 citations), Artificial Intelligence (152 citations) and Aerospace Engineering (103 citations). Devendra P. Garg has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Manish Kumar, Gary L. Anderson, Manish Kumar, Vijay Kumar, Manish Kumar, M.A. Zikry, Bernard Widrow, Tarıq Samad, R. Shoureshi and A. Meystel. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Automatic Control, International Journal of Control, Engineering Applications of Artificial Intelligence and International Journal of Systems Science.

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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