David Cox
Impact in
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
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- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
Papers in
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- Advanced Image and Video Retrieval Techniques 12
- Face and Expression Recognition 8
- Face recognition and analysis 6
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- Neural dynamics and brain function 20
- Visual perception and processing mechanisms 14
- Face Recognition and Perception 11
- Co-authors
- James J. DiCarlo (12 shared papers)James Bergstra (5 shared papers)Robert L. Savoy (2 shared papers)Nicolas Pinto (13 shared papers)Daniel Yamins (1 shared paper)John B. Little (2 shared papers)Donal O’Shea (2 shared papers)Dan Yamins (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Neurophysiology (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
David Cox
87 papers receiving 9.2k citations
David Cox's Hit Papers
Peers
Comparison fields: 5 of 205
- Cognitive Neuroscience 2.6k
- Computer Vision and Pattern Recognition 2.6k
- Geometry and Topology 652
- Computational Mathematics 43
- Sensory Systems 280
Countries citing papers authored by David Cox
This map shows the geographic impact of David Cox'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 David Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cox more than expected).
Fields of papers citing papers by David Cox
This network shows the impact of papers produced by David Cox. 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 David Cox. The network helps show where David Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures Hit paper breakdown → | 2013 | 949 |
| 2 | Ideals, Varieties, and Algorithms Hit paper breakdown → | 2007 | 936 |
| 3 | Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex Hit paper breakdown → | 2003 | 761 |
| 4 | Visual Place Recognition: A Survey Hit paper breakdown → | 2015 | 703 |
| 5 | Hyperopt: a Python library for model selection and hyperparameter optimization Hit paper breakdown → | 2015 | 653 |
| 6 | Untangling invariant object recognition Hit paper breakdown → | 2007 | 582 |
| 7 | Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms Hit paper breakdown → | 2013 | 493 |
| 8 | Mirror Symmetry and Algebraic Geometry Hit paper breakdown → | 1999 | 405 |
| 9 | 2008 | 359 | |
| 10 | 2014 | 268 | |
| 11 | 1991 | 183 | |
| 12 | 1988 | 172 | |
| 13 | 2005 | 163 | |
| 14 | 2009 | 162 | |
| 15 | 2009 | 151 | |
| 16 | 2004 | 144 | |
| 17 | 2009 | 135 | |
| 18 | 2014 | 133 | |
| 19 | 2011 | 132 | |
| 20 | 2018 | 129 |
About David Cox
David Cox is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Biophysics and Aerospace Engineering, having authored 91 papers that have together received 9.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (14 papers), Advanced Image and Video Retrieval Techniques (12 papers), Face Recognition and Perception (11 papers), Face and Expression Recognition (8 papers), Cell Image Analysis Techniques (7 papers), Neural Networks and Applications (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Computer Vision and Pattern Recognition (2.6k citations), Geometry and Topology (652 citations), Computational Mathematics (43 citations) and Sensory Systems (280 citations). David Cox has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include James J. DiCarlo, James Bergstra, Robert L. Savoy, Nicolas Pinto, Daniel Yamins, John B. Little, Donal O’Shea, Dan Yamins, Sheldon Katz and Lawrence Que. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, PLoS ONE, Proceedings of the National Academy of Sciences and Journal of Neurophysiology.
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.