World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
43964
World Ranking
2977
National Ranking
1458

Matthew Turk 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 Matthew Turk 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Matthew Turk 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 Matthew Turk 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: 61 D-Index — 79th percentile

79% 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

  • 2020 - ACM Fellow For contributions to face recognition, computer vision, and multimodal interaction
  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and vision based interaction
  • 2013 - IEEE Fellow For contributions to computer vision and perceptual interfaces
  • 2007 - ACM Senior Member

Overview

Matthew Turk is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research spans several areas within computer science, emphasizing subfields such as computer vision and pattern recognition, artificial intelligence, human-computer interaction, cognitive neuroscience, and general social sciences.

Their recent publications reflect diverse interests and multidisciplinary approaches. Notable recent papers include:

  • "Vision-Based Interfaces for Character-Based Text Entry: Comparison of Errors and Error Correction Properties of Eye Typing and Head Typing," 2023, Advances in Human-Computer Interaction
  • "TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models," 2023, arXiv (Cornell University)
  • "Which Humans? Inclusivity and Representation in Human-Centered AI," 2025, arXiv (Cornell University)
  • "BiasConnect: Investigating Bias Interactions in Text-to-Image Models," 2025, arXiv (Cornell University)

Their collaborative work involves frequent coauthors such as Aditya Chinchure, Pushkar Shukla, Kartik Hosanagar, Leonid Sigal, and Gaurav Bhatt.

Matthew Turk has contributed publications primarily to venues like arXiv (Cornell University) and Advances in Human-Computer Interaction.

Their research topics address various aspects of generative adversarial networks and image synthesis, multimodal machine learning applications, topic modeling, gaze tracking and assistive technology, tactile and sensory interactions, interactive and immersive displays, as well as explainable artificial intelligence (XAI).

  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Gaze Tracking and Assistive Technology
  • Tactile and Sensory Interactions
  • Interactive and Immersive Displays
  • Explainable Artificial Intelligence (XAI)

Recognition of their work includes distinctions such as the ACM Fellow awarded in 2020 for contributions to face recognition, computer vision, and multimodal interaction. Other honors include being named a fellow of the International Association for Pattern Recognition (IAPR) in 2014 for advances in computer vision and vision-based interaction, an IEEE Fellow in 2013 for work in computer vision and perceptual interfaces, and ACM Senior Member status since 2007.

Best Publications

  • Eigenfaces for recognition

    Matthew Turk;Alex Pentland

  • Face recognition using eigenfaces

    M.A. Turk;A.P. Pentland

  • Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking

    Steffen Gauglitz;Tobias Höllerer;Matthew Turk

  • VITS-a vision system for autonomous land vehicle navigation

    M.A. Turk;D.G. Morgenthaler;K.D. Gremban;M. Marra

  • Review Article: Multimodal interaction: A review

    Matthew Turk

  • A face recognition system

    Alex P Pentland;Matthew A. Turk

  • Perceptual user interfaces

    Matthew Turk

  • System and method for visually tracking occluded objects in real time

    Nebojsa Jojic;Matthew A. Turk

  • Robust hand detection

    M. Kolsch;M. Turk

  • Transformed Social Interaction: Decoupling Representation from Behavior and Form in Collaborative Virtual Environments

    Jeremy N. Bailenson;Andrew C. Beall;Jack Loomis;Jim Blascovich

  • Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging

    Ramesh Raskar;Kar-Han Tan;Rogerio Feris;Jingyi Yu

  • View-based interpretation of real-time optical flow for gesture recognition

    R. Cutler;M. Turk

  • Perceptual user interfaces (introduction)

    Matthew Turk;George Robertson

  • Manifold based analysis of facial expression

    Ya Chang;Changbo Hu;Rogerio Feris;Matthew Turk

  • Gesture modeling and recognition using finite state machines

    Pengyu Hong;M. Turk;T.S. Huang

  • Effective representation using ICA for face recognition robust to local distortion and partial occlusion

    Jongsun Kim;Jongmoo Choi;Juneho Yi;M. Turk

  • Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration

    M. Kolsch;M. Turk

  • Attribute-based people search in surveillance environments

    Daniel A. Vaquero;Rogerio S. Feris;Duan Tran;Lisa Brown

  • FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES

    Yuan Wang;Yunde Jia;Changbo Hu;Matthew Turk

  • World-stabilized annotations and virtual scene navigation for remote collaboration

    Steffen Gauglitz;Benjamin Nuernberger;Matthew Turk;Tobias Höllerer

Frequent Co-Authors

Tobias Höllerer
Tobias Höllerer University of California, Santa Barbara
Rogerio Feris
Rogerio Feris IBM (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Nebojsa Jojic
Nebojsa Jojic Microsoft (United States)
Andrew C. Beall
Andrew C. Beall University of California, Santa Barbara
Yong Rui
Yong Rui Lenovo (China)
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara

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