Arvind Iyer

402 citations
14 papers · 280 · h-index 9

Impact in

Papers in

Arvind Iyer

13 papers receiving 266 citations

Peers

Arvind Iyer
Comparison fields: 5 of 80
  • Human-Computer Interaction 41
  • Cognitive Neuroscience 65
  • Computer Vision and Pattern Recognition 66
  • Applied Psychology 13
  • Social Psychology 57
Replace Francisco Cuéllar with:
Francisco Cuéllar Peru
Alexander Toet Netherlands
Damith Herath Australia
Nathaniel Blanchard United States
Alexandre Mazel United Kingdom
Jennifer Lee United States
Charlotte Sennersten Sweden
Sarah Cosentino Japan
Anurag Shrivastava India
Nicolas Martin France
Arvind Iyer relative to Francisco Cuéllar Peru Francisco Cuéllar's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Arvind Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201859
2 201855
3 201050
4 200925
5 200925
6 200916
7 200916
8 201910
9 20188
10 20187
11 20176
12 20092
13 20181
14 20250

About Arvind Iyer

Arvind Iyer is a scholar working on Social Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction and Aerospace Engineering, having authored 14 papers that have together received 280 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Visual perception and processing mechanisms (4 papers), Human-Automation Interaction and Safety (3 papers), Robotics and Sensor-Based Localization (3 papers), Spatial Cognition and Navigation (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and UAV Applications and Optimization (2 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Cognitive Neuroscience (65 citations), Computer Vision and Pattern Recognition (66 citations), Applied Psychology (13 citations) and Social Psychology (57 citations). Arvind Iyer has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Thomas D. Parsons, Christopher G. Courtney, Albert Rizzo, Milind Tambe, Elizabeth Bondi, Lucas Joppa, Fei Fang, Michael E. Dawson, Anne M. Schell and Johannes Burge. Their work appears in journals such as Journal of Vision, International Journal of Eating Disorders, International Journal of Psychophysiology, Lecture notes in computer science and Studies in health technology and informatics.

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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