Ashok Veeraraghavan

12.1k citations
200 papers · 7.2k indexed · 2 hit papers · h-index 45

Impact in

Papers in

Ashok Veeraraghavan

192 papers receiving 6.8k citations

Hit Papers

DistancePPG: Robust non-contact vital signs monitoring using a camera 2015 · 314 citations
3142012202620162021100200300400500

Peers

Ashok Veeraraghavan
Comparison fields: 5 of 167
  • Acoustics and Ultrasonics 884
  • Instrumentation 1.1k
  • Computer Vision and Pattern Recognition 3.4k
  • Media Technology 1.4k
  • Biophysics 551
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Citations per field
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Citations per year

Countries citing papers authored by Ashok Veeraraghavan

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Veeraraghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202410
4 202438
5 20242
6 20235
7 20231
8 202335
9 202312
10 20234
11 20221
12 20228
13 202256
14 202131
15 201924
16 20195
17
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
20186
18 2017117
19
TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets.
201512
20 2008118

About Ashok Veeraraghavan

Ashok Veeraraghavan is a scholar working on Acoustics and Ultrasonics, Instrumentation, Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 200 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (41 papers), Advanced Optical Sensing Technologies (31 papers), Random lasers and scattering media (27 papers), Image Processing Techniques and Applications (24 papers), Optical measurement and interference techniques (22 papers), Advanced Fluorescence Microscopy Techniques (22 papers), Non-Invasive Vital Sign Monitoring (20 papers) and Optical Imaging and Spectroscopy Techniques (19 papers). The work is most often cited by research in Acoustics and Ultrasonics (884 citations), Instrumentation (1.1k citations), Computer Vision and Pattern Recognition (3.4k citations), Media Technology (1.4k citations) and Biophysics (551 citations). Ashok Veeraraghavan has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Rama Chellappa, Ramesh Raskar, Amit Agrawal, Ashutosh Sabharwal, Vivek Boominathan, Kaushik Mitra, Aswin C. Sankaranarayanan, Ankit Mohan, Jack Tumblin and Pavan Turaga. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, IEEE Transactions on Computational Imaging, IEEE Signal Processing Magazine and Nature Communications.

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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