Paul Viola

49.9k total citations · 9 hit papers
60 papers, 32.6k citations indexed

About

Paul Viola is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Paul Viola has authored 60 papers receiving a total of 32.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Paul Viola's work include Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Face and Expression Recognition (12 papers). Paul Viola is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers) and Face and Expression Recognition (12 papers). Paul Viola collaborates with scholars based in United States, United Kingdom and Germany. Paul Viola's co-authors include Michael Jones, William M. Wells, Ron Kikinis, William M. Wells, Hideki Atsumi, Shin Nakajima, Kinh Tieu, Cha Zhang, Jeremy S. De Bonet and John Platt and has published in prestigious journals such as ACM Transactions on Graphics, International Journal of Computer Vision and Artificial Intelligence.

In The Last Decade

Paul Viola

60 papers receiving 29.9k citations

Hit Papers

Rapid object detection using a boosted cascade of simple ... 1996 2026 2006 2016 2005 2004 1997 2001 2005 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Viola United States 35 24.9k 5.1k 3.4k 2.8k 2.7k 60 32.6k
Michael Jones United States 29 21.7k 0.9× 4.6k 0.9× 3.1k 0.9× 1.9k 0.7× 2.8k 1.0× 79 28.6k
Rama Chellappa United States 93 29.7k 1.2× 7.7k 1.5× 6.3k 1.9× 3.0k 1.1× 1.8k 0.7× 781 38.8k
Matti Pietikäinen Finland 55 25.8k 1.0× 4.2k 0.8× 5.1k 1.5× 1.2k 0.4× 1.2k 0.4× 149 33.5k
Bill Triggs France 28 22.7k 0.9× 4.7k 0.9× 1.6k 0.5× 3.3k 1.2× 1.4k 0.5× 70 27.0k
Antonio Torralba United States 86 35.7k 1.4× 13.5k 2.6× 2.2k 0.7× 4.3k 1.5× 2.9k 1.1× 250 51.5k
Xiaoou Tang Hong Kong 81 35.4k 1.4× 6.5k 1.3× 4.5k 1.3× 1.6k 0.6× 1.2k 0.5× 267 42.5k
Alan Yuille United States 96 31.5k 1.3× 13.5k 2.6× 1.6k 0.5× 4.2k 1.5× 1.3k 0.5× 571 51.8k
Takeo Kanade United States 102 37.6k 1.5× 4.0k 0.8× 3.3k 1.0× 8.3k 3.0× 2.6k 1.0× 607 48.3k
Aude Oliva United States 58 19.4k 0.8× 7.2k 1.4× 1.0k 0.3× 1.8k 0.6× 1.3k 0.5× 167 32.3k
Pietro Perona United States 73 27.7k 1.1× 9.0k 1.8× 1.6k 0.5× 3.1k 1.1× 758 0.3× 259 40.8k

Countries citing papers authored by Paul Viola

Since Specialization
Citations

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

Fields of papers citing papers by Paul Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Viola

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Viola. A scholar is included among the top collaborators of Paul Viola 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 Paul Viola. Paul Viola 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.
Zhang, Cha & Paul Viola. (2007). Multiple-Instance Pruning For Learning Efficient Cascade Detectors. Neural Information Processing Systems. 20. 1681–1688. 81 indexed citations
2.
Druck, Gregory, Mukund Narasimhan, & Paul Viola. (2007). Learning A* underestimates: Using inference to guide inference. International Conference on Artificial Intelligence and Statistics. 99–106. 2 indexed citations
3.
Shilman, Michael, Percy Liang, & Paul Viola. (2005). Learning nongenerative grammatical models for document analysis. 962–969 Vol. 2. 26 indexed citations
4.
Kristjansson, Trausti, Aron Culotta, Paul Viola, & Andrew McCallum. (2004). Interactive information extraction with constrained conditional random fields. Scholarworks (University of Massachusetts Amherst). 412–418. 98 indexed citations
5.
Jones, Michael & Paul Viola. (2003). Fast Multi-view Face Detection. CTIT technical reports series. 400 indexed citations
6.
Viola, Paul & Michael Jones. (2001). Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade. Neural Information Processing Systems. 14. 1311–1318. 325 indexed citations
7.
Viola, Paul. (2001). Robust real-time object detection.. 1650 indexed citations breakdown →
8.
Fisher, John W., Trevor Darrell, William T. Freeman, & Paul Viola. (2000). Learning Joint Statistical Models for Audio-Visual Fusion and Segregation. Neural Information Processing Systems. 13. 772–778. 115 indexed citations
9.
Fisher, John W., Alexander Ihler, & Paul Viola. (1999). Learning Informative Statistics: A Nonparametnic Approach. Neural Information Processing Systems. 12. 900–906. 8 indexed citations
10.
Miller, E.G. & Paul Viola. (1998). Ambiguity and constraint in mathematical expression recognition. National Conference on Artificial Intelligence. 784–791. 55 indexed citations
11.
Isbell, Charles L. & Paul Viola. (1998). Restructuring Sparse High Dimensional Data for Effective Retrieval. DSpace@MIT (Massachusetts Institute of Technology). 11. 480–486. 37 indexed citations
12.
Bonet, Jeremy S. De & Paul Viola. (1997). A Non-Parametric Multi-Scale Statistical Model for Natural Images. Neural Information Processing Systems. 10. 773–779. 62 indexed citations
13.
Bonet, Jeremy S. De & Paul Viola. (1997). Structure Driven Image Database Retrieval. Neural Information Processing Systems. 10. 866–872. 43 indexed citations
14.
Freeman, William T. & Paul Viola. (1997). Bayesian Model of Surface Perception. Neural Information Processing Systems. 10. 787–793. 18 indexed citations
15.
Bonet, Jeremy S. De, Charles L. Isbell, & Paul Viola. (1996). MIMIC: Finding Optima by Estimating Probability Densities. Neural Information Processing Systems. 9. 424–430. 299 indexed citations
16.
Bartlett, Marian Stewart, Paul Viola, Terrence J. Sejnowski, et al.. (1995). Classifying Facial Action. Neural Information Processing Systems. 823–829. 59 indexed citations
17.
Viola, Paul, Nicol N. Schraudolph, & Terrence J. Sejnowski. (1995). Empirical Entropy Manipulation for Real-World Problems. Neural Information Processing Systems. 8. 851–857. 50 indexed citations
18.
Viola, Paul. (1993). Feature-Based Recognition of Objects. 36(1 Suppl). S22–3. 8 indexed citations
19.
Viola, Paul, Stephen G. Lisberger, & Terrence J. Sejnowski. (1991). Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion. Neural Information Processing Systems. 4. 380–387. 3 indexed citations
20.
Viola, Paul. (1989). Neurally Inspired Plasticity in Oculomotor Processes. Neural Information Processing Systems. 2. 290–297. 5 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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