World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12220
World Ranking
5039
National Ranking
2341

Dan Morris 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 Dan Morris 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: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Dan Morris 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 Dan Morris 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Dan Morris is affiliated with Google in the United States. Their research spans multiple fields including Computer Science and Environmental Science, with significant contributions in subfields such as Artificial Intelligence, Ecology, Computer Vision and Pattern Recognition, Ecological Modeling, and Molecular Biology.

The scientist's main research topics cover:

  • Species Distribution and Climate Change
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Machine Learning and Data Classification
  • Remote Sensing in Agriculture
  • Wildlife Ecology and Conservation
  • Text and Document Classification Technologies

Dan Morris has published in a variety of venues, with several papers appearing in:

  • arXiv (Cornell University)
  • Methods in Ecology and Evolution
  • IET Computer Vision
  • IEEE Transactions on Sustainable Energy
  • Ecological Informatics

Notable recent publications include:

  • "AIDE: Accelerating image-based ecological surveys with interactive machine learning" (2020, Methods in Ecology and Evolution)
  • "A deep active learning system for species identification and counting in camera trap images" (2020, Methods in Ecology and Evolution)
  • "Supervised Learning for Distribution Secondary Systems Modeling: Improving Solar Interconnection Processes" (2022, IEEE Transactions on Sustainable Energy)
  • "To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images" (2024, IET Computer Vision)
  • "Data for 'Multi-Label Learning from Single Positive Labels' (CVPR 2021)" (2021, Zenodo - CERN European Organization for Nuclear Research)

Their collaboration network features frequent coauthors such as Nebojša Jojić, Elijah Cole, Titouan Lorieul, Sara Beery, and Oisin Mac Aodha, highlighting a multidisciplinary and cooperative approach to research.

Best Publications

  • Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

    Jofish Kaye;Allison Druin;Cliff Lampe;Dan Morris

  • Skinput: appropriating the body as an input surface

    Chris Harrison;Desney Tan;Dan Morris

  • SoundWave: using the doppler effect to sense gestures

    Sidhant Gupta;Daniel Morris;Shwetak Patel;Desney Tan

  • Enabling always-available input with muscle-computer interfaces

    T. Scott Saponas;Desney S. Tan;Dan Morris;Ravin Balakrishnan

  • Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces

    T Scott Saponas;Desney S. Tan;Dan Morris;Ravin Balakrishnan

  • Haptic Feedback Enhances Force Skill Learning

    D. Morris;Hong Tan;F. Barbagli;T. Chang

  • Visuohaptic simulation of bone surgery for training and evaluation

    D. Morris;C. Sewell;F. Barbagli;K. Salisbury

  • Search query transformation using direct manipulation

    Ryen William White;Mikhail Bilenko;Robert L. Rounthwaite;Daniel S. Morris

  • RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises

    Dan Morris;T. Scott Saponas;Andrew Guillory;Ilya Kelner

  • MySong: automatic accompaniment generation for vocal melodies

    Ian Simon;Dan Morris;Sumit Basu

  • Investigating the querying and browsing behavior of advanced search engine users

    Ryen W. White;Dan Morris

  • CHAI: An Open-Source Library for the Rapid Development of Haptic Scenes

    François Conti;Federico Barbagli;Dan Morris;Christopher Sewell

  • Wearable electromyography-based controllers for human-computer interface

    Desney Tan;T. Scott Saponas;Dan Morris;Jim Turner

  • Wearable electromyography-based human-computer interface

    Desney Tan;T. Scott Saponas;Dan Morris;Jim Turner

  • Humantenna: using the body as an antenna for real-time whole-body interaction

    Gabe Cohn;Daniel Morris;Shwetak Patel;Desney Tan

  • SearchBar: a search-centric web history for task resumption and information re-finding

    Dan Morris;Meredith Ringel Morris;Gina Venolia

  • Recognizing finger gestures from forearm EMG signals

    Desney Tan;Dan Morris;T. Scott Saponas;Ravin Balakrishnan

  • A deep active learning system for species identification and counting in camera trap images

    Mohammad Sadegh Norouzzadeh;Mohammad Sadegh Norouzzadeh;Dan Morris;Sara Beery;Sara Beery;Neel Joshi

  • Your noise is my command: sensing gestures using the body as an antenna

    Gabe Cohn;Daniel Morris;Shwetak N. Patel;Desney S. Tan

  • Making muscle-computer interfaces more practical

    T. Scott Saponas;Desney S. Tan;Dan Morris;Jim Turner

  • Menu-Match: Restaurant-Specific Food Logging from Images

    Oscar Beijbom;Neel Joshi;Dan Morris;Scott Saponas

  • The sound of touch: on-body touch and gesture sensing based on transdermal ultrasound propagation

    Adiyan Mujibiya;Xiang Cao;Desney S. Tan;Dan Morris

Frequent Co-Authors

Desney S. Tan
Desney S. Tan Microsoft (United States)
Shwetak N. Patel
Shwetak N. Patel University of Washington
Neel Joshi
Neel Joshi Microsoft (United States)
Sumit Basu
Sumit Basu Microsoft (United States)
Andrew D. Wilson
Andrew D. Wilson Microsoft (United States)
Nicolas Villar
Nicolas Villar Microsoft (United States)
Meredith Ringel Morris
Meredith Ringel Morris Google (United States)
Nebojsa Jojic
Nebojsa Jojic Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
Jeannette M. Wing
Jeannette M. Wing Columbia University

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