Raghavan Kumar

64 papers receiving 1.1k citations

Peers

Raghavan Kumar
Comparison fields: 5 of 55
  • Hardware and Architecture 577
  • Cellular and Molecular Neuroscience 245
  • Electrical and Electronic Engineering 701
  • Artificial Intelligence 322
  • Computer Vision and Pattern Recognition 134
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Santiago Celma Spain
Guy Satat United States
Giuseppe Tagliavini Italy
Yajun Ha China
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Citations per field
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Citations per year

Countries citing papers authored by Raghavan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Raghavan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 200893
3 201492
4 201986
5
Active and Passive Side-Channel Attacks on Delay Based PUF Designs.
201462
6 201459
7 201948
8 202033
9 201126
10 202022
11 201821
12 202021
13 201420
14 202119
15 201519
16 202018
17 201317
18 201217
19 201115
20 201413

About Raghavan Kumar

Raghavan Kumar is a scholar working on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (34 papers), Cryptographic Implementations and Security (22 papers), Advanced Memory and Neural Computing (19 papers), Integrated Circuits and Semiconductor Failure Analysis (14 papers), Neuroscience and Neural Engineering (10 papers), Low-power high-performance VLSI design (9 papers), Security and Verification in Computing (8 papers) and Quantum-Dot Cellular Automata (6 papers). The work is most often cited by research in Hardware and Architecture (577 citations), Cellular and Molecular Neuroscience (245 citations), Electrical and Electronic Engineering (701 citations), Artificial Intelligence (322 citations) and Computer Vision and Pattern Recognition (134 citations). Raghavan Kumar has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Wayne P. Burleson, Ram Kumar Krishnamurthy, Phil C. Knag, H. Ekin Sumbul, Gregory K. Chen, Sanu K. Mathew, Chan‐Hyun Sohn, Georg T. Becker, Sandip Kumar Kundu and Mark A Anders. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, IEEE Circuits and Systems Magazine, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Lecture notes in computer 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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