Richard Harvey

3.6k total citations · 1 hit paper
110 papers, 2.2k citations indexed

About

Richard Harvey is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Richard Harvey has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in Richard Harvey's work include Speech and Audio Processing (21 papers), Image Retrieval and Classification Techniques (17 papers) and Face recognition and analysis (14 papers). Richard Harvey is often cited by papers focused on Speech and Audio Processing (21 papers), Image Retrieval and Classification Techniques (17 papers) and Face recognition and analysis (14 papers). Richard Harvey collaborates with scholars based in United Kingdom, United States and Taiwan. Richard Harvey's co-authors include Jenny Bangham, Stephen Cox, Erik Peper, Iain Matthews, T.F. Cootes, Yuxuan Lan, Juliana Fuqua, Kimari Phillips, Daniel Stokols and Barry-John Theobald and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Preventive Medicine and Physics of Plasmas.

In The Last Decade

Richard Harvey

95 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Extraction of visual features for lipreading

2002 369 citations Jenny Bangham, Richard Harvey et al. profile →

Peers

Richard Harvey

SP

CVPR

ISM

SP

SPS

Xiao Hu Hong Kong

Elad Yom‐Tov Israel

Matthew Kay United States

Alexander Markowetz Germany

Alex Pentland United States

Fabio Pianesi Italy

Ken Wood United Kingdom

Ann A. O’Connell United States

Christophe Giraud-Carrier United States

Xiao Hu Hong Kong

Richard Harvey

787 ×1.1

SP

500 ×0.7

CVPR

99 ×0.3

ISM

142 ×0.7

SP

248 ×1.3

SPS

Citations per year, relative to Richard Harvey Richard Harvey (= 1×) peers Xiao Hu

Countries citing papers authored by Richard Harvey

Since Specialization

Citations

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

Fields of papers citing papers by Richard Harvey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Harvey

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Harvey. A scholar is included among the top collaborators of Richard Harvey 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 Richard Harvey. Richard Harvey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Constans, Eric, James F. Courtney, Kevin Dahm, et al.. (2025). Lessons Learned from Teaching Project Based Learning Communication and Design Courses. Papers on Engineering Education Repository (American Society for Engineering Education).

2.

Peper, Erik, et al.. (2024). WHAT ABOUT THIS?: Increase Attention, Concentration and School Performance with Posture Feedback. Biofeedback. 52(2). 48–52.

3.

Peper, Erik, et al.. (2016). Educational Model for Self-Healing: Eliminating a Chronic Migraine with Electromyography, Autogenic Training, Posture, and Mindfulness. Biofeedback. 44(3). 130–137. 4 indexed citations

4.

Rabin, Jeff, et al.. (2011). Beyond 20/20: New Clinical Methods to Quantify Vision Performance. Military Medicine. 176(3). 324–326. 11 indexed citations

5.

Bonoli, P., R. Granetz, Richard Harvey, et al.. (2011). Fast-ions on Alcator C-Mod: Comparisons between Simulation and Experiment for Equilibrium and Evolving Distributions. AIP conference proceedings. 357–360. 1 indexed citations

6.

Theobald, Barry-John, et al.. (2010). In pursuit of visemes. UEA Digital Repository (University of East Anglia). 7 indexed citations

7.

Smith, Dan & Richard Harvey. (2010). Document retrieval using image features. UEA Digital Repository (University of East Anglia). 47–51. 1 indexed citations

8.

Lan, Yuxuan, Richard Harvey, Barry-John Theobald, Eng-Jon Ong, & Richard Bowden. (2009). Comparing Visual Features for Lipreading. UEA Digital Repository (University of East Anglia). 102–106. 35 indexed citations

9.

Harvey, Richard, et al.. (2009). Comparison of human and machine-based lip-reading. UEA Digital Repository (University of East Anglia). 86–89. 16 indexed citations

10.

Stokols, Daniel, et al.. (2005). In vivo studies of transdisciplinary scientific collaboration. American Journal of Preventive Medicine. 28(2). 202–213. 141 indexed citations

11.

Stokols, Daniel, Juliana Fuqua, Richard Harvey, et al.. (2003). Evaluating transdisciplinary science. Nicotine & Tobacco Research. 5(6). 21–39. 233 indexed citations

12.

Nash, Justin M., Bradley N. Collins, Sandra E. Loughlin, et al.. (2003). Training the transdisciplinary scientist: A general framework applied to tobacco use behavior. Nicotine & Tobacco Research. 5(6). 41–53. 49 indexed citations

13.

Peper, Erik, et al.. (2003). The Integration of Electromyography (SEMG) at the Workstation: Assessment, Treatment, and Prevention of Repetitive Strain Injury (RSI). Applied Psychophysiology and Biofeedback. 28(2). 167–182. 34 indexed citations

14.

Harvey, Richard, et al.. (2002). Multi-dimensional histogram comparison via scale trees. 2. 709–712. 2 indexed citations

15.

Perkins, F. W. & Richard Harvey. (2000). Criteria for Suppression of Neoclassical Tearing Modes. APS Division of Plasma Physics Meeting Abstracts. 42. 2 indexed citations

16.

Yli‐Harja, Olli, et al.. (1999). Correlation properties of cascaded recursive median filters.. 3(13). 491–495. 3 indexed citations

17.

Harvey, Richard, et al.. (1999). Building systems to block pornography. Electronic workshops in computing. 25 indexed citations

18.

Peper, Erik, Richard Harvey, & Dianne M. Shumay. (1997). How to Use Applied Psychophysiology/Biofeedback in the Prevention and Assessment of Upper Extremity Musculoskeletal Disorders. International Conference on Human-Computer Interaction. 551–554. 1 indexed citations

19.

Harvey, Richard, et al.. (1997). The robustness of some scale-spaces.. British Machine Vision Conference. 11 indexed citations

20.

Harvey, Richard, et al.. (1988). Reasoning in biochemistry: Problem-solving in metabolism. Biochemical Education. 16(2). 76–79. 4 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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