World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
51803
World Ranking
2381
National Ranking
1187

Dana H. Ballard 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 Dana H. Ballard sits on this spectrum.

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 publications 991+

This scientist: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Dana H. Ballard 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 Dana H. Ballard sits on this spectrum.

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 D-Index 131+

This scientist: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Dana H. Ballard is affiliated with The University of Texas at Austin in the United States. Their research spans several interconnected fields, including Neuroscience and Computer Science, with a significant focus on Cognitive Neuroscience and related subfields.

Their work frequently addresses topics such as:

  • Visual Attention and Saliency Detection
  • Neural Dynamics and Brain Function
  • Motor Control and Adaptation
  • Balance, Gait, and Falls Prevention
  • Gaze Tracking and Assistive Technology
  • Muscle Activation and Electromyography Studies
  • Sports Performance and Training

Ballard has contributed to multiple recent papers, reflecting their research interests. Selected publications include:

  • "Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "The Hierarchical Evolution in Human Vision Modeling," 2021, Topics in Cognitive Science
  • "Computational Modeling: Human Dynamic Model," 2021, Frontiers in Neurorobotics
  • "Humans use minimum cost movements in a whole-body task," 2021, Scientific Reports
  • "Machine versus Human Attention in Deep Reinforcement Learning Tasks," 2020, arXiv (Cornell University)

Their frequent coauthors include Ruohan Zhang, Mary Hayhoe, Lijia Liu, Sihang Guo, and Joseph L. Cooper. Collaboration with these researchers underlines a consistent engagement with topics related to visual cognition and human movement dynamics.

Ballard's publications appear in a variety of venues, among the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Topics in Cognitive Science
  • Frontiers in Neurorobotics

Their research combines experimental and computational methods to investigate how humans perceive and interact with their environment, especially emphasizing eye movements, attention mechanisms, motor control, and adaptation processes.

Best Publications

  • Color indexing

    Michael James Swain;Dana H. Ballard

  • Generalizing the hough transform to detect arbitrary shapes

    D. H. Ballard

  • Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

    Rajesh P.N. Rao;Dana Harry Ballard

  • Computer vision

    Dana Harry Ballard;Christopher M. Brown

  • Connectionist models and their properties

    J. A. Feldman;D. H. Ballard

  • Animate vision

    Dana H. Ballard

  • Eye movements in natural behavior.

    Mary Myleen Hayhoe;Dana Harry Ballard

  • Eye guidance in natural vision: reinterpreting salience.

    Benjamin W. Tatler;Mary Myleen Hayhoe;Michael F. Land;Dana Harry Ballard

  • Finding circles by an array of accumulators

    Carolyn Kimme;Dana Ballard;Jack Sklansky

  • Cortical connections and parallel processing: structure and function

    Dana H. Ballard

  • Reinforcement learning with selective perception and hidden state

    Andrew Kachites Mccallum;Dana Ballard

  • Indexing via color histograms

    M.J. Swain;D.H. Ballard

  • Task and context determine where you look

    Constantin A. Rothkopf;Dana Harry Ballard;Mary Myleen Hayhoe

  • Parallel visual computation

    Dana H. Ballard;Geoffrey E. Hinton;Terrence J. Sejnowski

  • Learning to Perceive and Act by Trial and Error

    Steven D. Whitehead;Dana H. Ballard

  • What you see is what you need.

    Jochen Triesch;Dana H. Ballard;Mary M. Hayhoe;Brian T. Sullivan

  • Strip trees: a hierarchical representation for curves

    Dana H. Ballard

  • Active perception and reinforcement learning

    Steven D. Whitehead;Dana H. Ballard

  • Eye movements in iconic visual search.

    Rajesh P.N. Rao;Gregory J. Zelinsky;Mary Myleen Hayhoe;Dana Harry Ballard

  • Task Constraints in Visual Working Memory

    Mary M. Hayhoe;David G. Bensinger;Dana H. Ballard

  • Modular learning in neural networks

    Dana H. Ballard

Frequent Co-Authors

Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Chen Yu
Chen Yu The University of Texas at Austin
Jerome A. Feldman
Jerome A. Feldman University of California, Berkeley
Gregory J. Zelinsky
Gregory J. Zelinsky Stony Brook University
Peter Stone
Peter Stone The University of Texas at Austin
Jack Sklansky
Jack Sklansky University of California, Irvine
William H. Merigan
William H. Merigan University of Rochester
Richard N. Aslin
Richard N. Aslin Yale University
Benjamin W. Tatler
Benjamin W. Tatler University of Aberdeen
Gary S. Dell
Gary S. Dell University of Illinois at Urbana-Champaign

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