World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5364
World Ranking
10339
National Ranking
154

Kai Kunze 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 Kai Kunze 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: 265 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Kai Kunze 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 Kai Kunze 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Kai Kunze is affiliated with Keio University in Japan and conducts research primarily in the field of Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Cognitive Neuroscience, Human-Computer Interaction, and Sociology and Political Science.

The scientist's research covers a range of topics, often intersecting technology and user experience. Major topics in their work include:

  • Augmented Reality Applications
  • User Authentication and Security Systems
  • Privacy, Security, and Data Protection
  • Tactile and Sensory Interactions
  • Interactive and Immersive Displays
  • Sexuality, Behavior, and Technology
  • Internet Traffic Analysis and Secure E-voting

Kai Kunze has contributed to multiple papers published in various academic venues. Notable recent publications include:

  • "Nah, it's just annoying!" A Deep Dive into User Perceptions of Two-Factor Authentication, 2022, ACM Transactions on Computer-Human Interaction
  • Investigating Usability and User Experience of Individually Verifiable Internet Voting Schemes, 2021, ACM Transactions on Computer-Human Interaction
  • Human-Computer Integration: Towards Integrating the Human Body with the Computational Machine, 2022, Foundations and Trends® in Human-Computer Interaction
  • Linking Audience Physiology to Choreography, 2022, ACM Transactions on Computer-Human Interaction
  • NapWell: An EOG-based Sleep Assistant Exploring the Effects of Virtual Reality on Sleep Onset, 2021, Virtual Reality

The frequent publication venues associated with Kai Kunze include:

  • ACM Transactions on Computer-Human Interaction
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • arXiv (Cornell University)
  • Foundations and Trends® in Human-Computer Interaction
  • Virtual Reality

Kai Kunze often collaborates with several researchers. Their frequent co-authors include:

  • Kouta Minamizawa
  • Karola Marky
  • George Chernyshov
  • Yun Suen Pai
  • Giulia Barbareschi

Best Publications

  • Next Steps for Human-Computer Integration

    Florian Floyd Mueller;Pedro Lopes;Paul Strohmeier;Wendy Ju

  • Dealing with sensor displacement in motion-based onbody activity recognition systems

    Kai Kunze;Paul Lukowicz

  • Where am i: recognizing on-body positions of wearable sensors

    Kai Kunze;Paul Lukowicz;Holger Junker;Gerhard Tröster

  • In the blink of an eye: combining head motion and eye blink frequency for activity recognition with Google Glass

    Shoya Ishimaru;Kai Kunze;Koichi Kise;Jens Weppner

  • Using Wearable Sensors for Real-Time Recognition Tasks in Games of Martial Arts - An Initial Experiment

    E.A. Heinz;K.S. Kunze;M. Gruber;D. Bannach

  • Which Way Am I Facing: Inferring Horizontal Device Orientation from an Accelerometer Signal

    Kai Kunze;Paul Lukowicz;Kurt Partridge;Bo Begole

  • Sensor Placement Variations in Wearable Activity Recognition

    Kai Kunze;Paul Lukowicz

  • OPPORTUNITY: Towards opportunistic activity and context recognition systems

    Daniel Roggen;Kilian Forster;Alberto Calatroni;Thomas Holleczek

  • MetaArms: Body Remapping Using Feet-Controlled Artificial Arms

    Mhd Yamen Saraiji;Tomoya Sasaki;Kai Kunze;Kouta Minamizawa

  • I know what you are reading: recognition of document types using mobile eye tracking

    Kai Kunze;Yuzuko Utsumi;Yuki Shiga;Koichi Kise

  • Facial Expression Recognition in Daily Life by Embedded Photo Reflective Sensors on Smart Eyewear

    Katsutoshi Masai;Yuta Sugiura;Masa Ogata;Kai Kunze

  • Towards Recognizing Tai Chi - An Initial Experiment Using Wearable Sensors

    Kai Kunze;Michael Barry;Ernst A. Heinz;Paul Lukowicz

  • Making Regular Eyeglasses Smart

    Oliver Amft;Florian Wahl;Shoya Ishimaru;Kai Kunze

  • Smarter eyewear: using commercial EOG glasses for activity recognition

    Shoya Ishimaru;Kai Kunze;Yuji Uema;Koichi Kise

  • The Wordometer -- Estimating the Number of Words Read Using Document Image Retrieval and Mobile Eye Tracking

    Kai Kunze;Hitoshi Kawaichi;Kazuyo Yoshimura;Koichi Kise

  • Assessing hands-free interactions for VR using eye gaze and electromyography

    Yun Suen Pai;Tilman Dingler;Kai Steven Kunze

  • Activity Recognition for the Mind: Toward a Cognitive "Quantified Self"

    Kai Kunze;Masakazu Iwamura;Koichi Kise;Seiichi Uchida

  • Towards inferring language expertise using eye tracking

    Kai Kunze;Hitoshi Kawaichi;Kazuyo Yoshimura;Koichi Kise

  • The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

    Marc Kurz;Gerold Hölzl;Alois Ferscha;Alberto Calatroni

  • Symbolic object localization through active sampling of acceleration and sound signatures

    Kai Kunze;Paul Lukowicz

  • Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton

    G. Pirkl;K. Stockinger;K. Kunze;P. Lukowicz

Frequent Co-Authors

Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Masahiko Inami
Masahiko Inami University of Tokyo
Oliver Amft
Oliver Amft University of Erlangen-Nuremberg
Niels Henze
Niels Henze University of Regensburg
Andreas Bulling
Andreas Bulling University of Stuttgart
Andreas Dengel
Andreas Dengel German Research Centre for Artificial Intelligence
Albrecht Schmidt
Albrecht Schmidt Ludwig-Maximilians-Universität München
Thad Starner
Thad Starner Georgia Institute of Technology
Woontack Woo
Woontack Woo Korea Advanced Institute of Science and Technology
Michael Beigl
Michael Beigl Karlsruhe Institute of Technology

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