Arun Ross

29.4k citations
236 papers · 17.6k indexed · 10 hit papers · h-index 52

Arun Ross

231 papers receiving 16.1k citations

Hit Papers

Trust in AI a...349200320262010201810002.0k3.0k

Peers

Arun Ross
Comparison fields: 5 of 195
  • Signal Processing 12.3k
  • Computer Vision and Pattern Recognition 10.4k
  • Information Systems 6.3k
  • Safety Research 1.4k
  • Human-Computer Interaction 855
Replace Julián Fiérrez with:
Julián Fiérrez Spain
Tieniu Tan China
Sharath Pankanti United States
Christoph Busch Germany
Zhenan Sun China
Richa Singh India
Jiankun Hu Australia
Karthik Nandakumar United States
P. Jonathon Phillips United States
Stan Z. Li China
Arun Ross relative to Julián Fiérrez Spain Julián Fiérrez's profile →
Citations per field
00.5×2.8×
Julián Fiérrez · 1×
Citations per year

Countries citing papers authored by Arun Ross

Since Specialization
Citations

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

Fields of papers citing papers by Arun Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20243
5
Trust in AI and Its Role in the Acceptance of AI Technologiesbreakdown →
2022349
6 20211
7 20216
8 202018
9 202051
10 2019112
11 201887
12
Predicting Gender and Race from Near Infrared Iris and Periocular Images.
20182
13 201784
14 201415
15 201442
16
Mixing fingerprints for template security and privacy
201116
17 201051
18
Handbook of Multibiometricsbreakdown →
2006777
19 200672
20
ACCIDENT INVESTIGATION AND IDENTIFICATION OF REMEDIAL MEASURES IN DEVELOPING COUNTRIES
19813

About Arun Ross

Arun Ross is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Safety Research, Information Systems and Genetics, having authored 236 papers that have together received 17.6k indexed citations. Recurring topics across this work include Biometric Identification and Security (163 papers), Face recognition and analysis (69 papers), User Authentication and Security Systems (53 papers), Face and Expression Recognition (37 papers), Forensic Fingerprint Detection Methods (29 papers), Forensic and Genetic Research (27 papers), Advanced Steganography and Watermarking Techniques (26 papers) and Digital Media Forensic Detection (25 papers). The work is most often cited by research in Signal Processing (12.3k citations), Computer Vision and Pattern Recognition (10.4k citations), Information Systems (6.3k citations), Safety Research (1.4k citations) and Human-Computer Interaction (855 citations). Arun Ross has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Anil K. Jain, S. Prabhakar, Karthik Nandakumar, Patrick J. Flynn, Sharath Pankanti, Prashant K. Jain, Cunjian Chen, Antitza Dantcheva, Prabu David and Hyesun Choung. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Pattern Recognition, Pattern Recognition Letters, IEEE Access and Computer Vision and Image Understanding.

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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