Arun Ross

29.4k total citations · 10 hit papers
236 papers, 17.6k citations indexed

About

Arun Ross is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Arun Ross has authored 236 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Signal Processing, 145 papers in Computer Vision and Pattern Recognition and 59 papers in Information Systems. Recurrent topics in Arun Ross's work include Biometric Identification and Security (163 papers), Face recognition and analysis (69 papers) and User Authentication and Security Systems (53 papers). Arun Ross is often cited by papers focused on Biometric Identification and Security (163 papers), Face recognition and analysis (69 papers) and User Authentication and Security Systems (53 papers). Arun Ross collaborates with scholars based in United States, India and United Kingdom. Arun Ross's 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 and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Communications of the ACM and IEEE Transactions on Image Processing.

In The Last Decade

Arun Ross

231 papers receiving 16.1k citations

Hit Papers

An Introduction to Biometric Recognition 2003 2026 2010 2018 2004 2005 2003 2007 2006 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An Introduction to Biometric Recognition
    2004 3.0k citations Anil K. Jain, Arun Ross et al. profile →
  2. Score normalization in multimodal biometric systems
    2005 1.5k citations Anil K. Jain, Karthik Nandakumar et al. Pattern Recognition profile →
  3. Information fusion in biometrics
    2003 1.1k citations Arun Ross, Anil K. Jain Pattern Recognition Letters profile →
  4. Handbook of Biometrics
    2007 804 citations Arun Ross, Patrick J. Flynn et al. profile →
  5. Handbook of Multibiometrics
    2006 777 citations Arun Ross et al. Kluwer Academic Publishers eBooks profile →
  6. Biometrics: A Tool for Information Security
    2006 737 citations Anil K. Jain, Arun Ross et al. IEEE Transactions on Information Forensics and Security profile →
  7. Introduction to Biometrics
    2011 546 citations Anil K. Jain, Arun Ross et al. profile →
  8. 50 years of biometric research: Accomplishments, challenges, and opportunities
    2016 428 citations Anil K. Jain, Karthik Nandakumar et al. Pattern Recognition Letters profile →
  9. Trust in AI and Its Role in the Acceptance of AI Technologies
    2022 349 citations Hyesun Choung, Prabu David et al. International Journal of Human-Computer Interaction profile →
  10. What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics
    2015 256 citations Arun Ross et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arun Ross United States 52 12.3k 10.4k 6.3k 2.0k 1.4k 236 17.6k
Tieniu Tan China 74 5.8k 0.5× 16.3k 1.6× 2.9k 0.5× 4.4k 2.2× 654 0.5× 389 22.4k
Sharath Pankanti United States 36 5.2k 0.4× 4.8k 0.5× 3.4k 0.5× 924 0.5× 753 0.5× 103 8.2k
Julián Fiérrez Spain 46 4.4k 0.4× 5.1k 0.5× 2.6k 0.4× 1.5k 0.8× 630 0.4× 270 7.8k
Christoph Busch Germany 45 5.8k 0.5× 6.2k 0.6× 2.8k 0.4× 917 0.5× 597 0.4× 572 8.9k
Zhenan Sun China 53 4.0k 0.3× 7.7k 0.7× 1.2k 0.2× 1.7k 0.9× 434 0.3× 260 10.6k
Karthik Nandakumar United States 28 4.3k 0.4× 3.7k 0.4× 2.9k 0.5× 842 0.4× 370 0.3× 78 6.3k
Richa Singh India 48 4.0k 0.3× 4.9k 0.5× 1.2k 0.2× 994 0.5× 528 0.4× 312 7.0k
Jiankun Hu Australia 57 4.2k 0.3× 2.7k 0.3× 3.5k 0.6× 4.6k 2.3× 346 0.2× 358 11.5k
P. Jonathon Phillips United States 42 5.4k 0.4× 14.3k 1.4× 878 0.1× 1.6k 0.8× 111 0.1× 116 16.6k
Stan Z. Li China 74 5.5k 0.5× 16.6k 1.6× 1.0k 0.2× 3.4k 1.7× 89 0.1× 338 21.2k

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 of co-authors of Arun Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Ross. A scholar is included among the top collaborators of Arun Ross based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arun Ross. Arun Ross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ross, Arun, et al.. (2025). Synthesizing forestry images conditioned on plant phenotype using a generative adversarial network. Pattern Recognition. 162. 111385–111385. 1 indexed citations
2.
Jain, Anil K., et al.. (2024). Introduction to Biometrics. 1 indexed citations
3.
Sharma, Renu, et al.. (2024). Investigating Weight-Perturbed Deep Neural Networks with Application in Iris Presentation Attack Detection. abs/1703.08245. 1082–1091. 1 indexed citations
4.
Alonso‐Fernandez, Fernando, Josef Bigün, Julián Fiérrez, et al.. (2024). Periocular Biometrics: A Modality for Unconstrained Scenarios. Computer. 57(6). 40–49. 3 indexed citations
5.
Choung, Hyesun, Prabu David, & Arun Ross. (2022). Trust in AI and Its Role in the Acceptance of AI Technologies. International Journal of Human-Computer Interaction. 39(9). 1727–1739. 349 indexed citations breakdown →
6.
Salah, Albert Ali & Arun Ross. (2021). Selected Works From Automated Face and Gesture Recognition 2020. IEEE Transactions on Biometrics Behavior and Identity Science. 3(1). 4–5. 1 indexed citations
7.
Sharma, Renu & Arun Ross. (2021). Image-Level Iris Morph Attack. 3013–3017. 6 indexed citations
8.
Chute, Dennis J., et al.. (2020). Post-Mortem Iris Recognition—A Survey and Assessment of the State of the Art. IEEE Access. 8. 136570–136593. 18 indexed citations
9.
Ross, Arun, Sudipta Banerjee, & Anurag Chowdhury. (2020). Security in smart cities: A brief review of digital forensic schemes for biometric data. Pattern Recognition Letters. 138. 346–354. 51 indexed citations
10.
Chowdhury, Anurag & Arun Ross. (2019). Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals. IEEE Transactions on Information Forensics and Security. 15. 1616–1629. 112 indexed citations
11.
Bontrager, Philip, Aditi Roy, Julian Togelius, Nasir Memon, & Arun Ross. (2018). DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution. 1–9. 87 indexed citations
12.
Ross, Arun, et al.. (2018). Predicting Gender and Race from Near Infrared Iris and Periocular Images.. arXiv (Cornell University). 2 indexed citations
13.
Ross, Arun, et al.. (2017). On automated source selection for transfer learning in convolutional neural networks. Pattern Recognition. 73. 65–75. 84 indexed citations
14.
Rattani, Ajita & Arun Ross. (2014). Minimizing the impact of spoof fabrication material on fingerprint liveness detector. UNICA IRIS Institutional Research Information System (University of Cagliari). 4992–4996. 15 indexed citations
15.
Rattani, Ajita & Arun Ross. (2014). Automatic adaptation of fingerprint liveness detector to new spoof materials. 1–8. 42 indexed citations
16.
Ross, Arun & Asem Othman. (2011). Mixing fingerprints for template security and privacy. European Signal Processing Conference. 2264. 16 indexed citations
17.
Bourlai, Thirimachos, Nathan D. Kalka, Arun Ross, Bojan Čukić, & Lawrence A. Hornak. (2010). Cross-Spectral Face Verification in the Short Wave Infrared (SWIR) Band. 1343–1347. 51 indexed citations
18.
Ross, Arun, et al.. (2006). Handbook of Multibiometrics. Kluwer Academic Publishers eBooks. 777 indexed citations breakdown →
19.
Ross, Arun, et al.. (2006). Segmenting Non-Ideal Irises Using Geodesic Active Contours. 1–6. 72 indexed citations
20.
Ross, Arun, et al.. (1981). ACCIDENT INVESTIGATION AND IDENTIFICATION OF REMEDIAL MEASURES IN DEVELOPING COUNTRIES. 3 indexed citations

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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