Devendra P. Garg

1.2k citations
96 papers · 881 · h-index 14

Impact in

Papers in

Devendra P. Garg

85 papers receiving 825 citations

Peers

Devendra P. Garg
Comparison fields: 5 of 102
  • Control and Systems Engineering 388
  • Computer Vision and Pattern Recognition 171
  • Computer Networks and Communications 164
  • Artificial Intelligence 169
  • Industrial and Manufacturing Engineering 46
Replace Rahmat A. Shoureshi with:
Rahmat A. Shoureshi United States
Thomas Gustafsson Sweden
Ka C. Cheok United States
Bongsob Song South Korea
Mohammad Biglarbegian Canada
S. Hosoe Japan
Man Hyung Lee South Korea
M. J. Mahjoob Iran
Mohammad Javad Mahmoodabadi Iran
Ye Zhao United States
Devendra P. Garg relative to Rahmat A. Shoureshi United States Rahmat A. Shoureshi's profile →
Citations per field
00.5×1.5×1.9×
Rahmat A. Shoureshi · 1×
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002112
2 201062
3 200759
4 199656
5 200148
6 201147
7 200640
8
HUMAN BODY DYNAMICS: IMPACT, OCCUPATIONAL AND ATHLETIC ASPECTS
198235
9 197628
10 199327
11 199625
12 197223
13 200418
14 199917
15 199813
16 200512
17 200312
18 200011
19 200810
20 20049

About Devendra P. Garg

Devendra P. Garg is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications, Artificial Intelligence and Numerical Analysis, having authored 96 papers that have together received 881 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 (12 papers), Adaptive Control of Nonlinear Systems (8 papers), Robotic Mechanisms and Dynamics (8 papers), Modular Robots and Swarm Intelligence (7 papers), Robotic Path Planning Algorithms (7 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Control and Systems Engineering (388 citations), Computer Vision and Pattern Recognition (171 citations), Computer Networks and Communications (164 citations), Artificial Intelligence (169 citations) and Industrial and Manufacturing Engineering (46 citations). Devendra P. Garg has collaborated with scholars based in United States, India and Georgia. Frequent co-authors include Manish Kumar, Gary L. Anderson, V Vineeth Kumar, Manish Kumar, M.A. Zikry, Bernard Carlos Widrow, Rahmat A. Shoureshi, James Sacra Albus, Tarıq Samad and Alex Meystel. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Automatic Control, International Journal of Control, International Journal of Systems Science and Engineering Applications of Artificial Intelligence.

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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