Arvind Singh

919 citations
45 papers · 679 · h-index 15

Impact in

Papers in

Arvind Singh

43 papers receiving 664 citations

Peers

Arvind Singh
Comparison fields: 5 of 38
  • Hardware and Architecture 358
  • Artificial Intelligence 347
  • Computer Vision and Pattern Recognition 157
  • Electrical and Electronic Engineering 338
  • Signal Processing 63
Replace Monodeep Kar with:
Monodeep Kar United States
Duo Ding United States
Bo‐Cheng Lai Taiwan
Georgios Zervakis Greece
Van‐Phuc Hoang Vietnam
Hanqing Zeng United States
Sitao Huang United States
A. Otero Spain
João Canas Ferreira Portugal
Arvind Singh relative to Monodeep Kar United States Monodeep Kar's profile →
Citations per field
00.5×1.5×
Monodeep Kar · 1×
Citations per year

Countries citing papers authored by Arvind Singh

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 201755
3 201854
4 201850
5 201940
6 201939
7 201636
8 201735
9 201935
10 201935
11 201926
12 201523
13 201622
14 201920
15 201618
16 201714
17 200210
18 201810
19 20169
20 20167

About Arvind Singh

Arvind Singh is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 45 papers that have together received 679 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (20 papers), Physical Unclonable Functions (PUFs) and Hardware Security (18 papers), Chaos-based Image/Signal Encryption (10 papers), Electrostatic Discharge in Electronics (6 papers), 3D IC and TSV technologies (6 papers), Security and Verification in Computing (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Hardware and Architecture (358 citations), Artificial Intelligence (347 citations), Computer Vision and Pattern Recognition (157 citations), Electrical and Electronic Engineering (338 citations) and Signal Processing (63 citations). Arvind Singh has collaborated with scholars based in United States, India and Trinidad and Tobago. Frequent co-authors include Saibal Mukhopadhyay, Monodeep Kar, Vivek De, Anand Prem Rajan, Sanu Mathew, Venkata Chaitanya Krishna Chekuri, Madhavan Swaminathan, Jong Hwan Ko, Sung Kyu Lim and Hakki Mert Torun. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Internet of Things Journal, IEEE Transactions on Components Packaging and Manufacturing Technology and IEEE Transactions on Industrial Electronics.

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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