World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7827
World Ranking
8780
National Ranking
3754

Hong Z. 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 Hong Z. 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: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Hong Z. 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 Hong Z. 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to wearable haptics

Overview

Hong Z. Tan is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans neuroscience, computer science, and psychology, with notable contributions in subfields including cognitive neuroscience, experimental and cognitive psychology, human-computer interaction, mechanical engineering, and biomedical engineering.

The central topics addressed in their work involve tactile and sensory interactions, multisensory perception and integration, interactive and immersive displays, teleoperation and haptic systems, EEG and brain-computer interfaces, virtual reality applications and impacts, and advanced sensor and energy harvesting materials.

Their recent publications include:

  • Super-resolution wearable electrotactile rendering system (2022) in Science Advances
  • Methodology for Maximizing Information Transmission of Haptic Devices: A Survey (2020) in Proceedings of the IEEE
  • Acquisition of 500 English Words through a TActile Phonemic Sleeve (TAPS) (2020) in IEEE Transactions on Haptics
  • Haptic Communication of Language (2023) in IEEE Transactions on Haptics
  • Tactile and Chemical Sensing With Haptic Feedback for a Telepresence Explosive Ordnance Disposal Robot (2023) in IEEE Transactions on Robotics

Hong Z. Tan has published extensively in the following venues:

  • IEEE Transactions on Haptics
  • Frontiers in Virtual Reality
  • Science Advances
  • Proceedings of the IEEE
  • IEEE Transactions on Robotics

Frequent co-authors include:

  • Juan S. Martinez
  • Charlotte M. Reed
  • Ahmed Farooq
  • Seungmoon Choi
  • Yang Jiao

In addition to journal articles, Hong Z. Tan has contributed to books published by Springer Science+Business Media, including a title focused on design, user experience, and usability published in 2022.

Recognized for contributions to wearable haptics, Hong Z. Tan was named an IEEE Fellow in 2017.

Best Publications

  • Human factors for the design of force-reflecting haptic interfaces

    HZ Tan;B Eberman;MA Srinivasan;B Cheng

  • Using spatial vibrotactile cues to direct visual attention in driving scenes

    Cristy Ho;Hong Z. Tan;Charles Spence

  • Tactual displays for wearable computing

    H.Z. Tan;A. Pentland

  • A Haptic Back Display for Attentional and Directional Cueing

    Hong Z. Tan;Robert Gray;J. Jay Young;Ryan Traylor

  • Haptic Feedback Enhances Force Skill Learning

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

  • Application of Psychophysical Techniques to Haptic Research

    L. A. Jones;H. Z. Tan

  • A sensing chair using pressure distribution sensors

    H.Z. Tan;L.A. Slivovsky;A. Pentland

  • Manual discrimination of compliance using active pinch grasp: The roles of force and work cues

    H Z Tan;N I Durlach;G L Beauregard;M A Srinivasan

  • Driver reaction time to tactile and auditory rear-end collision warnings while talking on a cell phone

    Rayka Mohebbi;Robert Gray;Hong Z. Tan

  • A wearable haptic navigation guidance system

    S. Ertan;C. Lee;A. Willets;H. Tan

  • Information transmission with a multifinger tactual display.

    Hong Z. Tan;Nathaniel I. Durlach;Charlotte M. Reed;William M. Rabinowitz

  • The failure to detect tactile change: A tactile analogue of visual change blindness

    Alberto Gallace;Alberto Gallace;Hong Z. Tan;Charles Spence

  • The body surface as a communication system: The state of the art after 50 years

    Alberto Gallace;Hong Z. Tan;Charles Spence

  • Haptic discrimination of force direction and the influence of visual information

    Federico Barbagli;Ken Salisbury;Cristy Ho;Charles Spence

  • Toward realistic haptic rendering of surface textures

    Seungmoon Choi;Hong Z. Tan

  • Numerosity judgments for tactile stimuli distributed over the body surface

    Alberto Gallace;Hong Z Tan;Charles Spence

  • Optimum Information Transfer Rates for Communication through Haptic and Other Sensory Modalities

    Hong Z Tan;Charlotte M Reed;Nathaniel I Durlach

  • Tactor Localization at the Wrist

    Hsiang-Yu Chen;Joseph Santos;Matthew Graves;Kwangtaek Kim

  • Dynamic and predictive links between touch and vision

    Robert Gray;Hong Z. Tan

  • Detection Threshold and Mechanical Impedance of the Hand in a Pen-Hold Posture

    A. Israr;Seungmoon Choi;H.Z. Tan

  • Information transmission with a multi-finger tactual display.

    H Z Tan;N I Durlach;W M Rabinowitz;C M Reed

Frequent Co-Authors

Charles Spence
Charles Spence University of Oxford
Seungmoon Choi
Seungmoon Choi Pohang University of Science and Technology
Rob Gray
Rob Gray University of East Anglia
Alberto Gallace
Alberto Gallace University of Milano-Bicocca
Mauro Barni
Mauro Barni University of Siena
Domenico Prattichizzo
Domenico Prattichizzo University of Siena
M. Gail Jones
M. Gail Jones North Carolina State University
Roberta L. Klatzky
Roberta L. Klatzky Carnegie Mellon University
J. Edward Colgate
J. Edward Colgate Northwestern University

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