Kunal Garg

410 citations
23 papers · 191 · h-index 9

Impact in

    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems
    • Adaptive Control of Nonlinear Systems
    • Smart Grid Security and Resilience
    • Control Systems and Identification
    • Stability and Control of Uncertain Systems

Papers in

Kunal Garg

21 papers receiving 186 citations

Peers

Kunal Garg
Comparison fields: 5 of 32
  • Control and Systems Engineering 139
  • Numerical Analysis 12
  • Computer Networks and Communications 43
  • Computational Theory and Mathematics 26
  • Computer Vision and Pattern Recognition 25
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Seungil You United States
Dongkun Han Hong Kong
Adrian Hauswirth Switzerland
Riccardo Bonalli France
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Citations per field
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Citations per year

Countries citing papers authored by Kunal Garg

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Kunal 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 Kunal Garg Line = papers co-authored together Kunal Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202221
3 202219
4 202416
5 202116
6 202014
7 202414
8 202010
9 20209
10 20227
11 20236
12 20196
13 20224
14 20232
15 20222
16 20232
17 20212
18 20222
19 19801
20 20181

About Kunal Garg

Kunal Garg is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence, having authored 23 papers that have together received 191 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Fault Detection and Control Systems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Advanced Optimization Algorithms Research (4 papers), Smart Grid Security and Resilience (3 papers), Robotic Path Planning Algorithms (3 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Control and Systems Engineering (139 citations), Numerical Analysis (12 citations), Computer Networks and Communications (43 citations), Computational Theory and Mathematics (26 citations) and Computer Vision and Pattern Recognition (25 citations). Kunal Garg has collaborated with scholars based in United States and India. Frequent co-authors include Dimitra Panagou, Mayank Baranwal, Ehsan Arabi, Mouhacine Benosman, Rohit Gupta, Charles Dawson, Chuchu Fan, Songyuan Zhang, Ugo Rosolia and Aaron D. Ames. Their work appears in journals such as IEEE Control Systems Letters, Annual Reviews in Control, IEEE Security & Privacy, IEEE Transactions on Automatic Control and Journal of Guidance Control and Dynamics.

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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