Raghavan Kumar

1.4k citations
62 papers · 887 indexed · h-index 16

Raghavan Kumar

59 papers receiving 871 citations

Peers

Raghavan Kumar
Comparison fields: 5 of 54
  • Hardware and Architecture 438
  • Cellular and Molecular Neuroscience 187
  • Electrical and Electronic Engineering 572
  • Artificial Intelligence 266
  • Computer Vision and Pattern Recognition 114
Replace Marisa López‐Vallejo with:
Marisa López‐Vallejo Spain
Jintao Zhang China
Tobias G. Noll Germany
Ian Kuon Canada
Montek Singh United States
Antonio Martínez-Álvarez Spain
Bert Moons Belgium
Donghyeon Han South Korea
Yajun Ha Singapore
Raghavan Kumar relative to Marisa López‐Vallejo Spain Marisa López‐Vallejo's profile →
Citations per field
00.5×3.1×
Marisa López‐Vallejo · 1×
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-authorship network

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
#Work
1 20250
2 20241
3 20240
4 20239
5 20234
6 20225
7 20222
8 202118
9 202017
10 201943
11 20193
12 20192
13 20161
14 201488
15 201412
16 20133
17 20137
18 201316
19 20123
20 201217

About Raghavan Kumar

Raghavan Kumar is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 62 papers that have together received 887 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (29 papers), Advanced Memory and Neural Computing (19 papers), Cryptographic Implementations and Security (19 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Neuroscience and Neural Engineering (9 papers), Low-power high-performance VLSI design (8 papers), Security and Verification in Computing (8 papers) and Ferroelectric and Negative Capacitance Devices (5 papers). The work is most often cited by research in Hardware and Architecture (438 citations), Cellular and Molecular Neuroscience (187 citations) and Electrical and Electronic Engineering (572 citations). Raghavan Kumar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Wayne Burleson, Ram Krishnamurthy, H. Ekin Sumbul, Phil Knag, Gregory K. Chen, Chan‐Hyun Sohn, Sanu Mathew, Sandip Kundu, Mark Anders and Vivek De. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Journal of Automation and Control and Recent Patents on Mechanical Engineering.

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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