World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
18156
World Ranking
1303
National Ranking
689

Desney S. Tan 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 Desney S. Tan 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Desney S. Tan 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 Desney S. Tan 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Desney S. Tan is affiliated with Microsoft in the United States. Their research spans several fields including Computer Science, Medicine, and Engineering, with a particular focus on Artificial Intelligence, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The scientist's work explores a range of topics, notably Gaussian Processes and Bayesian Inference, Neural Networks and Applications, Machine Learning and Data Classification, Data Visualization and Analytics, and healthcare-related research such as Syphilis Diagnosis and Treatment, Reproductive Tract Infections research, and Healthcare Systems and Technology.

Desney S. Tan has contributed to multiple publications across various venues. Recent papers include:

  • Performance and Preferences: Interactive Refinement of Machine Learning Procedures, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning to Learn: Algorithmic Inspirations from Human Problem Solving, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • 138EMF Emergency Department Syphilis Screening Practices Before and After the Implementation of an Electronic Health Record-Based Best-Practice Alert, 2020, Annals of Emergency Medicine
  • CAD-guided 6D pose estimation with deep learning in digital twin for industrial collaborative robot manipulation, 2025, EAI Endorsed Transactions on AI and Robotics
  • Development and Validation of a Nomogram for Predicting Postoperative Lower Extremity Deep Vein Thrombosis in Patients with Traumatic Spinal Fractures, 2025, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated frequently with coauthors including Ashish Kapoor, Eric Horvitz, Bongshin Lee, and Joanna Ford.

Desney's publications have appeared most frequently in the Proceedings of the AAAI Conference on Artificial Intelligence, with additional contributions to Annals of Emergency Medicine, EAI Endorsed Transactions on AI and Robotics, and bioRxiv.

Best Publications

  • Skinput: appropriating the body as an input surface

    Chris Harrison;Desney Tan;Dan Morris

  • Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction

    Desney S. Tan;Anton Nijholt

  • Foveated 3D graphics

    Brian Guenter;Mark Finch;Steven Drucker;Desney Tan

  • SoundWave: using the doppler effect to sense gestures

    Sidhant Gupta;Daniel Morris;Shwetak Patel;Desney Tan

  • FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

    Rajalakshmi Nandakumar;Vikram Iyer;Desney Tan;Shyamnath Gollakota

  • Brain-Computer Interfaces and Human-Computer Interaction

    Desney S. Tan;Anton Nijholt

  • Enabling always-available input with muscle-computer interfaces

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

  • Real-time preview system and method for panoramic images

    Chris Pal;Matthew Uyttendaele;Eric Rudolph;Patrick Baudisch

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • Exploring 3D navigation: combining speed-coupled flying with orbiting

    Desney S. Tan;George G. Robertson;Mary Czerwinski

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

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

  • The large-display user experience

    G. Robertson;M. Czerwinski;P. Baudisch;B. Meyers

  • EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers

    Justin Talbot;Bongshin Lee;Ashish Kapoor;Desney S. Tan

  • Women take a wider view

    Mary Czerwinski;Desney S. Tan;George G. Robertson

  • Exploring the design space for adaptive graphical user interfaces

    Krzysztof Z. Gajos;Mary Czerwinski;Desney S. Tan;Daniel S. Weld

  • WinCuts: manipulating arbitrary window regions for more effective use of screen space

    Desney S. Tan;Brian Meyers;Mary Czerwinski

  • Feasibility and pragmatics of classifying working memory load with an electroencephalograph

    David Grimes;Desney S. Tan;Scott E. Hudson;Pradeep Shenoy

  • Physically large displays improve performance on spatial tasks

    Desney S. Tan;Darren Gergle;Peter Scupelli;Randy Pausch

  • With similar visual angles, larger displays improve spatial performance

    Desney S. Tan;Darren Gergle;Peter Scupelli;Randy Pausch

  • CueFlik: interactive concept learning in image search

    James Fogarty;Desney Tan;Ashish Kapoor;Simon Winder

Frequent Co-Authors

Dan Morris
Dan Morris Google (United States)
Mary Czerwinski
Mary Czerwinski Microsoft (United States)
George G. Robertson
George G. Robertson Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Roderick A. Hyde
Roderick A. Hyde Lawrence Livermore National Laboratory
Clarence T. Tegreene
Clarence T. Tegreene Microsoft (United States)
Victoria Y. H. Wood
Victoria Y. H. Wood Microsoft (United States)
Jordin T. Kare
Jordin T. Kare Microsoft (United States)
Andrew D. Wilson
Andrew D. Wilson Microsoft (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)

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