David Cox

19.2k total citations · 8 hit papers
91 papers, 9.4k citations indexed

About

David Cox is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, David Cox has authored 91 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 28 papers in Cognitive Neuroscience and 20 papers in Artificial Intelligence. Recurrent topics in David Cox's work include Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). David Cox is often cited by papers focused on Neural dynamics and brain function (20 papers), Visual perception and processing mechanisms (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). David Cox collaborates with scholars based in United States, Australia and Canada. David Cox's co-authors include James J. DiCarlo, James Bergstra, Robert L. Savoy, Nicolas Pinto, Donal O’Shea, John B. Little, Daniel Yamins, Dan Yamins, Sheldon Katz and Lawrence Que and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

David Cox

87 papers receiving 9.0k citations

Hit Papers

5 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.

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures

2013 935 citations James Bergstra, Daniel Yamins et al. Digital Access to Scholarship at Harvard (DASH) (Harvard University) profile →
Ideals, Varieties, and Algorithms

2007 934 citations David Cox et al. profile →
Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex

2003 757 citations David Cox et al. profile →
Visual Place Recognition: A Survey

2015 692 citations David Cox, Michael Milford et al. profile →
Hyperopt: a Python library for model selection and hyperparameter optimization

2015 636 citations James Bergstra, David Cox et al. profile →
Untangling invariant object recognition

2007 572 citations James J. DiCarlo, David Cox Trends in Cognitive Sciences profile →
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

2013 485 citations James Bergstra, David Cox et al. profile →
Mirror Symmetry and Algebraic Geometry

1999 394 citations David Cox, Sheldon Katz Mathematical surveys and monographs profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Cox United States	37	2.6k	2.6k	1.8k	818	799	91	9.4k
Steven W. Zucker United States	49	2.0k 0.8×	6.5k 2.5×	1.4k 0.8×	225 0.3×	774 1.0×	225	11.9k
J. C. Sprott United States	67	1.3k 0.5×	2.3k 0.9×	1.7k 0.9×	1.3k 1.6×	214 0.3×	301	15.2k
Pierre Vandergheynst Switzerland	47	1.1k 0.4×	6.3k 2.5×	5.1k 2.8×	1.2k 1.5×	1.1k 1.3×	290	16.0k
Ulf Grenander United States	44	606 0.2×	2.9k 1.1×	2.0k 1.1×	576 0.7×	483 0.6×	136	11.3k
Luigi Fortuna Italy	56	1.0k 0.4×	784 0.3×	1.9k 1.1×	2.0k 2.4×	498 0.6×	590	11.7k
Stefano Boccaletti Italy	58	4.0k 1.5×	556 0.2×	1.4k 0.8×	669 0.8×	104 0.1×	282	22.2k
Jean-Jacques Slotine United States	47	1.1k 0.4×	2.1k 0.8×	3.3k 1.8×	3.1k 3.7×	3.3k 4.1×	177	29.1k
Daniel D. Lee United States	30	1.9k 0.7×	5.5k 2.2×	4.6k 2.5×	1.0k 1.3×	455 0.6×	125	16.6k
Jan J. Koenderink Netherlands	66	8.8k 3.4×	8.4k 3.3×	598 0.3×	301 0.4×	1.2k 1.6×	477	20.8k
Yair Weiss Israel	40	1.3k 0.5×	10.2k 4.0×	5.2k 2.9×	679 0.8×	651 0.8×	94	16.9k

Countries citing papers authored by David Cox

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Cox

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rhee, Juliana Y., et al.. (2025). Neural correlates of visual object recognition in rats. Cell Reports. 44(4). 115461–115461.

Rosenberg, Jessie, Gaoyuan Zhang, Onkar Bhardwaj, et al.. (2023). Rapid Development of Compositional AI. 78–83. 2 indexed citations

Rhee, Juliana Y., et al.. (2023). Strategically managing learning during perceptual decision making. eLife. 12. 9 indexed citations

Ahmed, Mohiuddin, et al.. (2022). ECU-IoFT: A Dataset for Analysing Cyber-Attacks on Internet of Flying Things. Applied Sciences. 12(4). 1990–1990. 14 indexed citations

Farhi, Samouil L., Vicente Parot, Abhinav Grama, et al.. (2019). Wide-Area All-Optical Neurophysiology in Acute Brain Slices. Journal of Neuroscience. 39(25). 4889–4908. 23 indexed citations

Mankus, David, et al.. (2018). A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains. Journal of Visualized Experiments. 5 indexed citations

Bergstra, James, Daniel Yamins, & David Cox. (2013). Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 115–123. 935 indexed citations breakdown →

Ackermann, Mark R., E. J. Spillar, W. T. Vestrand, et al.. (2013). Affordable Options for Ground-Based, Large-Aperture Optical Space Surveillance Systems. Advanced Maui Optical and Space Surveillance Technologies Conference. 1 indexed citations

Milford, Michael, Eleonora Vig, Walter J. Scheirer, & David Cox. (2013). Towards condition-invariant, top-down visual place recognition. QUT ePrints (Queensland University of Technology). 5 indexed citations

10.

Jiang, Wenyan, David Bikard, David Cox, Feng Zhang, & Luciano A. Marraffini. (2013). RNA-guided editing of bacterial genomes using CRISPR-Cas systems. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

11.

Chiachia, Giovani, Nicolas Pinto, William Robson Schwartz, et al.. (2012). Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification. 101.1–101.12. 7 indexed citations

12.

Pinto, Nicolas, David Cox, & James J. DiCarlo. (2008). Why is Real-World Visual Object Recognition Hard?. PLoS Computational Biology. 4(1). e27–e27. 359 indexed citations

13.

DiCarlo, James J. & David Cox. (2007). Untangling invariant object recognition. Trends in Cognitive Sciences. 11(8). 333–341. 572 indexed citations breakdown →

14.

Balas, Benjamin, David Cox, & Erin Conwell. (2007). The Effect of Real-World Personal Familiarity on the Speed of Face Information Processing. PLoS ONE. 2(11). e1223–e1223. 37 indexed citations

15.

Cox, David. (2005). A pragmatic HCI approach. 39–43. 2 indexed citations

16.

Cox, David, et al.. (2005). 'Breaking' position-invariant object recognition. Nature Neuroscience. 8(9). 1145–1147. 116 indexed citations

17.

Cox, David & Sheldon Katz. (1999). Mirror Symmetry and Algebraic Geometry. Mathematical surveys and monographs. 394 indexed citations breakdown →

18.

McCormick, Fred B., David Cox, & William B. Gleason. (1993). Synthesis, structure, and disproportionation of labile benzeneruthenium acetonitrile (.eta.6-C6H6)Ru(CH3CN)2Cl+ salts. Organometallics. 12(3). 610–612. 54 indexed citations

19.

Yan, Shi‐Ping, David Cox, Linda L. Pearce, et al.. (1989). A (.mu.-oxo)(.mu.-carboxylato)diiron(III) complex with distinct iron sites. Inorganic Chemistry. 28(13). 2507–2509. 34 indexed citations

20.

Cox, David & Walter Parry. (1984). Representations associated with elliptic surfaces. Pacific Journal of Mathematics. 114(2). 309–323. 17 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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