Eric Patterson

1.4k total citations
41 papers, 891 citations indexed

About

Eric Patterson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Eric Patterson has authored 41 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 10 papers in Computational Mechanics. Recurrent topics in Eric Patterson's work include Face recognition and analysis (14 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (8 papers). Eric Patterson is often cited by papers focused on Face recognition and analysis (14 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (8 papers). Eric Patterson collaborates with scholars based in United States, Australia and India. Eric Patterson's co-authors include Karl Ricanek, J.N. Gowdy, Zekeriya TÜFEKCİ, A. Midori Albert, S. Gurbuz, Michael C. King, Douglas S. McGregor, Steven L. Bellinger, Troy Unruh and William L. Dunn and has published in prestigious journals such as Research Policy, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

In The Last Decade

Eric Patterson

36 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Patterson United States 13 443 431 117 77 73 41 891
Karl Ricanek United States 19 659 1.5× 1.5k 3.6× 156 1.3× 94 1.2× 95 1.3× 71 1.9k
Anastasios Roussos United Kingdom 16 129 0.3× 860 2.0× 23 0.2× 24 0.3× 66 0.9× 35 1.1k
Rasmus Rothe Switzerland 8 201 0.5× 1.1k 2.6× 230 2.0× 40 0.5× 76 1.0× 13 1.4k
David Burke United States 11 72 0.2× 226 0.5× 39 0.3× 152 2.0× 10 0.1× 46 557
Pascal Paysan Switzerland 10 125 0.3× 741 1.7× 30 0.3× 35 0.5× 29 0.4× 24 1.1k
Guowang Mu United States 11 324 0.7× 1.1k 2.4× 108 0.9× 25 0.3× 58 0.8× 15 1.1k
Federico M. Sukno Spain 15 172 0.4× 355 0.8× 68 0.6× 22 0.3× 43 0.6× 65 707
Luuk Spreeuwers Netherlands 17 396 0.9× 696 1.6× 94 0.8× 30 0.4× 45 0.6× 99 973
Raffaella Lanzarotti Italy 14 104 0.2× 302 0.7× 35 0.3× 48 0.6× 54 0.7× 42 602
Qi Yin China 10 226 0.5× 829 1.9× 77 0.7× 39 0.5× 47 0.6× 10 1.1k

Countries citing papers authored by Eric Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Eric Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Patterson. A scholar is included among the top collaborators of Eric Patterson 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 Eric Patterson. Eric Patterson 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
3.
Park, Samuel, Eric Patterson, & C.W. Baum. (2019). Long Short-Term Memory and Convolutional Neural Networks for Active Noise Control. 121–125. 6 indexed citations
4.
Patterson, Eric, et al.. (2012). Differentiating Duchenne from non-Duchenne smiles using active appearance models. 609. 319–324. 1 indexed citations
5.
Patterson, Eric, et al.. (2010). Active Appearance Models for Affect Recognition using Facial Expressions. 4(1). 2 indexed citations
6.
Ricanek, Karl, et al.. (2010). A comparative study of active appearance model annotation schemes for the face. 367–374. 5 indexed citations
7.
McGregor, Douglas S., Steven L. Bellinger, David A. Bruno, et al.. (2009). Perforated diode neutron detector modules fabricated from high-purity silicon. Radiation Physics and Chemistry. 78(10). 874–881. 18 indexed citations
8.
Patterson, Eric, et al.. (2008). Emotion recognition using facial expressions with active appearance models. International Conference on Human-Computer Interaction. 138–143. 30 indexed citations
9.
Albert, A. Midori, Karl Ricanek, & Eric Patterson. (2007). A review of the literature on the aging adult skull and face: Implications for forensic science research and applications. Forensic Science International. 172(1). 1–9. 223 indexed citations
10.
McGregor, Douglas S., Steven L. Bellinger, David A. Bruno, et al.. (2007). Perforated semiconductor neutron detectors for battery operated portable modules. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6706. 67060N–67060N. 6 indexed citations
11.
Patterson, Eric, et al.. (2007). Neutron dosimeters employing high-efficiency perforated semiconductor detectors. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 263(1). 183–185. 12 indexed citations
12.
Patterson, Eric & J.N. Gowdy. (2004). An audio-visual approach to simultaneous-speaker speech recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 5. V–780. 1 indexed citations
13.
Patterson, Eric, S. Gurbuz, Zekeriya TÜFEKCİ, & J.N. Gowdy. (2002). CUAVE: A new audio-visual database for multimodal human-computer interface research. IEEE International Conference on Acoustics Speech and Signal Processing. II–2017. 199 indexed citations
14.
Gurbuz, S., Zekeriya TÜFEKCİ, Eric Patterson, & J.N. Gowdy. (2002). Application of affine-invariant Fourier descriptors to lipreading for audio-visual speech recognition. 1. 177–180. 26 indexed citations
15.
TÜFEKCİ, Zekeriya, et al.. (2002). Multi-stream product modal audio-visual integration strategy for robust adaptive speech recognition. IEEE International Conference on Acoustics Speech and Signal Processing. II–2021. 13 indexed citations
16.
Patterson, Eric, et al.. (2002). CUAVE: a new audio-visual database for multimodal human-computer interface research. IEEE International Conference on Acoustics Speech and Signal Processing. II–II. 67 indexed citations
17.
Patterson, Eric, et al.. (2002). Moving-Talker, Speaker-Independent Feature Study, and Baseline Results Using the CUAVE Multimodal Speech Corpus. EURASIP Journal on Advances in Signal Processing. 2002(11). 75 indexed citations
18.
Gowdy, J.N. & Eric Patterson. (2002). Audio-visual speech recognition for difficult environments. 1 indexed citations
19.
Patterson, Eric, et al.. (2001). NOISE-BASED AUDIO-VISUAL FUSION FOR ROBUST SPEECH RECOGNITION. AVSP. 195–198. 6 indexed citations
20.
Patterson, Eric, et al.. (2001). Lip-reading from parametric lip contours for audio- visual speech recognition. 1181–1184. 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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