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David D. Cox

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 53 4706 4574 2187 2110 121 17500

David D. Cox publications per year

The chart shows the history of publications by David D. Cox between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David D. Cox published across 41 years, from 1985 to 2025, averaging 4 papers a year. Output peaked at 14 publications in 2018. 13 of the 163 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2018. 1985: 1 publication 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 1 publication 2004: 6 publications 2005: 4 publications 2006: 2 publications 2007: 4 publications 2008: 5 publications 2009: 6 publications 2010: 4 publications 2011: 4 publications 2012: 8 publications 2013: 8 publications 2014: 8 publications 2015: 11 publications 2016: 6 publications 2017: 4 publications 2018: 14 publications 2019: 9 publications 2020: 14 publications 2021: 10 publications 2022: 7 publications 2023: 13 publications 2024: 11 publications 2025: 2 publications
1985 2025

163 publications in total across all disciplines

View publications per year as a table
David D. Cox: publications per year, 1985 to 2025
Year Publications
1985 1
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 1
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 1
2004 6
2005 4
2006 2
2007 4
2008 5
2009 6
2010 4
2011 4
2012 8
2013 8
2014 8
2015 11
2016 6
2017 4
2018 14
2019 9
2020 14
2021 10
2022 7
2023 13
2024 11
2025 2
Total 163
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David D. Cox publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where David D. Cox sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 112–121 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497 121
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

David D. Cox D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where David D. Cox sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 53
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

David D. Cox is affiliated with IBM in the United States and has contributed extensively to the field of computer science, particularly focusing on artificial intelligence and cognitive neuroscience. Their research spans multiple subfields, including artificial intelligence, cognitive neuroscience, computer vision and pattern recognition, signal processing, and cellular and molecular neuroscience.

The scientist's work covers key topics such as neural dynamics and brain function, adversarial robustness in machine learning, multimodal machine learning applications, topic modeling, speech recognition and synthesis, speech and audio processing, and natural language processing techniques.

David D. Cox has published numerous articles in leading venues, with a concentration of work appearing in arXiv (Cornell University) and bioRxiv (Cold Spring Harbor Laboratory). Other publication venues include The New Scientist, JAMA Network Open, and Nature Machine Intelligence.

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms, 2020, JAMA Network Open
  • ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation, 2020, arXiv (Cornell University)
  • Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • A neural network trained for prediction mimics diverse features of biological neurons and perception, 2020, Nature Machine Intelligence
  • Encoding of 3D Head Orienting Movements in the Primary Visual Cortex, 2020, Neuron

Frequent collaborators in their research include Rameswar Panda, Shiyu Chang, Javier Masís, Rogério Feris, and Kaizhi Qian. This network of co-authors indicates a collaborative approach across various topics within computer science and neuroscience.

The scientist's main fields of study emphasize computational and cognitive approaches in understanding neural functions and advancing machine learning techniques. Their work interlinks the development of artificial intelligence with insights from brain research, particularly focusing on enhancing robustness and multimodal learning capabilities.

Best Publications

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

    James Bergstra;Daniel Yamins;David Cox

  • Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex.

    David D Cox;Robert L Savoy

  • Visual Place Recognition: A Survey

    Stephanie Lowry;Niko Sunderhauf;Paul Newman;John J. Leonard

  • Untangling invariant object recognition.

    James J. DiCarlo;David D. Cox

  • Hyperopt: a Python library for model selection and hyperparameter optimization

    James Bergstra;Brent Komer;Chris Eliasmith;Dan Yamins

  • Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

    James Bergstra;Dan Yamins;David D. Cox

  • Why is Real-World Visual Object Recognition Hard?

    Nicolas Pinto;David Daniel Cox;David Daniel Cox;David Daniel Cox;James J DiCarlo;James J DiCarlo

  • Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

    William Edward Lotter;Gabriel Kreiman;David Daniel Cox

  • On the information bottleneck theory of deep learning

    Andrew M Saxe;Yamini Bansal;Joel Dapello;Madhu Advani

  • Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images

    Eleonora Vig;Michael Dorr;David Cox

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

    Thomas Schaffter;Diana S. M. Buist;Christoph I. Lee;Yaroslav Nikulin

  • A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

    Nicolas Pinto;Nicolas Pinto;David Doukhan;David Doukhan;James J. DiCarlo;James J. DiCarlo;David Daniel Cox;David Daniel Cox;David Daniel Cox

  • Chemosensory cues to conspecific emotional stress activate amygdala in humans.

    Lilianne R. Mujica-Parodi;Helmut H. Strey;Blaise DeBonneval Frederick;Robert L. Savoy

  • How far can you get with a modern face recognition test set using only simple features

    Nicolas Pinto;James J DiCarlo;David D Cox

  • Beyond simple features: A large-scale feature search approach to unconstrained face recognition

    David Cox;Nicolas Pinto

  • Multiple Object Response Normalization in Monkey Inferotemporal Cortex

    Davide Zoccolan;David D. Cox;James J. DiCarlo

  • Neural networks and neuroscience-inspired computer vision.

    David Daniel Cox;Thomas Dean

  • Recurrent computations for visual pattern completion.

    Hanlin Tang;Martin Schrimpf;William Lotter;Charlotte Moerman

  • High-speed volumetric imaging of neuronal activity in freely moving rodents.

    Oliver Skocek;Tobias Nöbauer;Lukas Weilguny;Francisca Martínez Traub

  • Contextually evoked object-specific responses in human visual cortex.

    David Cox;Ethan Meyers;Pawan Sinha

  • Triton: an intermediate language and compiler for tiled neural network computations

    Philippe Tillet;H. T. Kung;David Cox

  • A high-throughput screening approach to discovering good forms of inspired visual representation

    Nicolas Pinto;David Doukhan;James J. DiCarlo;David D. Cox

Frequent Co-Authors

James J. DiCarlo
James J. DiCarlo MIT
Walter J. Scheirer
Walter J. Scheirer University of Notre Dame
Gabriel Kreiman
Gabriel Kreiman Harvard University
Michael Milford
Michael Milford Queensland University of Technology
Lorin Evan Ullmann
Lorin Evan Ullmann IBM (United States)
João Paulo Papa
João Paulo Papa Sao Paulo State University
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Peyman Golshani
Peyman Golshani University of California, Los Angeles
Ken Nakayama
Ken Nakayama Harvard University
Robert E. Campbell
Robert E. Campbell University of Tokyo

External Links

Personal website of David D. Cox Google Scholar page

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Best Scientists Citing David D. Cox

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Michael Milford

Queensland University of Technology

Publications: 65

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James J. DiCarlo

MIT

Publications: 62

Hans Op de Beeck

Hans Op de Beeck

Allen Institute for Brain Science

Publications: 54

Nikolaus Kriegeskorte

Nikolaus Kriegeskorte

Columbia University

Publications: 44

John-Dylan Haynes

John-Dylan Haynes

Charité - University Medicine Berlin

Publications: 41

Walter J. Scheirer

Walter J. Scheirer

University of Notre Dame

Publications: 37

Tomaso Poggio

Tomaso Poggio

MIT

Publications: 36

João Paulo Papa

João Paulo Papa

Sao Paulo State University

Publications: 30

Thomas A. Carlson

Thomas A. Carlson

University of Sydney

Publications: 29

Nancy Kanwisher

Nancy Kanwisher

MIT

Publications: 29

James V. Haxby

James V. Haxby

Dartmouth College

Publications: 26

Frank Hutter

Frank Hutter

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Thomas Serre

Thomas Serre

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Ali Borji

Ali Borji

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Chuang Gan

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Roland Siegwart

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