V. Iyengar

4.1k citations
82 papers · 2.7k indexed · h-index 30

Impact in

Papers in

V. Iyengar

75 papers receiving 2.6k citations

Peers

V. Iyengar
Comparison fields: 5 of 114
  • Hardware and Architecture 1.8k
  • Electrical and Electronic Engineering 1.6k
  • Cognitive Neuroscience 432
  • Software 80
  • Computer Networks and Communications 377
Replace Srinivas Katkoori with:
Srinivas Katkoori United States
James Gross Sweden
David Lowe Australia
Ken Wood United Kingdom
Zhihong Zeng China
Jiong Luo China
Alessandro Di Nuovo United Kingdom
Gary Tyson United States
Caitlin Kelleher United States
V. Iyengar relative to Srinivas Katkoori United States Srinivas Katkoori's profile →
Citations per field
00.5×
Srinivas Katkoori · 1×
Citations per year

Countries citing papers authored by V. Iyengar

Since Specialization
Citations

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

Fields of papers citing papers by V. Iyengar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20202
3 20203
4 202020
5 202028
6 20200
7
Older Adults Are Especially Prone to Social Media Bubbles
20190
8 201810
9 201728
10 2015213
11 2013112
12 20103
13 2009149
14 200324
15 200337
16 200254
17 200264
18 20028
19 19919
20 198617

About V. Iyengar

V. Iyengar is a scholar working on Hardware and Architecture, Software, Neuropsychology and Physiological Psychology, Electrical and Electronic Engineering and Health Informatics, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (45 papers), Integrated Circuits and Semiconductor Failure Analysis (34 papers), VLSI and FPGA Design Techniques (19 papers), Embedded Systems Design Techniques (8 papers), Low-power high-performance VLSI design (8 papers), Engineering and Test Systems (8 papers), Radiation Effects in Electronics (6 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Hardware and Architecture (1.8k citations), Electrical and Electronic Engineering (1.6k citations), Cognitive Neuroscience (432 citations), Software (80 citations) and Computer Networks and Communications (377 citations). V. Iyengar has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Krishnendu Chakrabarty, Erik Jan Marinissen, Roberto Cabeza, Daniël Brand, Walter Sinnott‐Armstrong, Barry K. Rosen, Scott Clifford, B.T. Murray, J.A. Waicukauski and Frank Krüeger. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computers, Neuroscience & Biobehavioral Reviews and The International Journal of Advanced Manufacturing Technology.

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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