World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6209
World Ranking
10708
National Ranking
671

Kheng Lee Koay 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 Kheng Lee Koay 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Kheng Lee Koay 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 Kheng Lee Koay 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: 37 D-Index — 27th percentile

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

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

Overview

Kheng Lee Koay is affiliated with the University of Hertfordshire in the United Kingdom. Their research primarily spans the fields of Psychology and Computer Science, with a notable focus on Social Psychology and Artificial Intelligence. Their work intersects several subfields, including Human-Computer Interaction, Control and Systems Engineering, and Safety Research.

The central topics in Kheng Lee Koay's research cover a range of areas related to human and robot interaction, specifically:

  • Social Robot Interaction and HRI
  • AI in Service Interactions
  • Human-Automation Interaction and Safety
  • Persona Design and Applications
  • Robot Manipulation and Learning
  • Action Observation and Synchronization
  • Ethics and Social Impacts of AI

Their recent publications reflect this interdisciplinary approach, featuring work in journals related to behavioral robotics and interaction studies:

  • A narrative approach to human-robot interaction prototyping for companion robots, 2020, Paladyn Journal of Behavioral Robotics
  • Use and usability of software verification methods to detect behaviour interference when teaching an assistive home companion robot: A proof-of-concept study, 2021, Paladyn Journal of Behavioral Robotics
  • A matter of consequences, 2023, Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems
  • Does Expression of Grounded Affect in a Hexapod Robot Elicit More Prosocial Responses?, 2020, Journal of robotics & autonomous systems

Kheng Lee Koay frequently collaborates with other researchers in the field. Their notable coauthors include:

  • Kerstin Dautenhahn
  • Michael L. Walters
  • Alessandra Rossi
  • Patrick Holthaus
  • Dag Sverre Syrdal

Publication venues where Kheng Lee Koay has frequently contributed include:

  • Paladyn Journal of Behavioral Robotics
  • Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems
  • Journal of robotics & autonomous systems

Best Publications

  • What is a robot companion - friend, assistant or butler?

    K. Dautenhahn;S. Woods;C. Kaouri;M.L. Walters

  • Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion

    Michael L. Walters;Dag S. Syrdal;Kerstin Dautenhahn;René Te Boekhorst

  • How may I serve you?: a robot companion approaching a seated person in a helping context

    K. Dautenhahn;M. Walters;S. Woods;K. L. Koay

  • The influence of subjects' personality traits on personal spatial zones in a human-robot interaction experiment

    M.L. Walters;K. Dautenhahn;R. te Boekhorst;Kheng Lee Koay

  • Comparing human robot interaction scenarios using live and video based methods: towards a novel methodological approach

    S.N. Woods;M.L. Walters;K.L. Koay;K. Dautenhahn

  • Methodological Issues in HRI: A Comparison of Live and Video-Based Methods in Robot to Human Approach Direction Trials

    Sarah Woods;Michael Walters;Kheng Koay;Kerstin Dautenhahn

  • Human approach distances to a mechanical-looking robot with different robot voice styles

    M.L. Walters;D.S. Syrdal;K.L. Koay;K. Dautenhahn

  • Living with Robots: Investigating the Habituation Effect in Participants' Preferences During a Longitudinal Human-Robot Interaction Study

    Kheng Lee Koay;D.S. Syrdal;M.L. Walters;K. Dautenhahn

  • An empirical framework for human-robot proxemics

    M.L. Walters;K. Dautenhahn;R. Te Boekhorst;K.L. Koay

  • Close encounters: spatial distances between people and a robot of mechanistic appearance

    M.L. Walters;K. Dautenhahn;K.L. Koay;C. Kaouri

  • Robotic etiquette: results from user studies involving a fetch and carry task

    Michael L. Walters;Kerstin Dautenhahn;Sarah N. Woods;Kheng Lee Koay

  • Exploratory Study of a Robot Approaching a Person in the Context of Handing Over an Object.

    Kheng Lee Koay;Emrah Akin Sisbot;Dag Sverre Syrdal;Mick L. Walters

  • “Teach Me–Show Me”—End-User Personalization of a Smart Home and Companion Robot

    Joe Saunders;Dag Sverre Syrdal;Kheng Lee Koay;Nathan Burke

  • Is this robot like me? Links between human and robot personality traits

    S. Woods;K. Dautenhahn;C. Kaouri;R. Boekhorst

  • 'Doing the right thing wrong' - Personality and tolerance to uncomfortable robot approaches

    D.S. Syrdal;K. Dautenhahn;S. Woods;M.L. Walters

  • Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot

    Kheng Lee Koay;Dag Sverre Syrdal;Mohammadreza Ashgari-Oskoei;Mohammadreza Ashgari-Oskoei;Michael L. Walters

  • Looking Good? Appearance Preferences and Robot Personality Inferences at Zero Acquaintance.

    Dag Sverre Syrdal;Kerstin Dautenhahn;Sarah N. Woods;Michael L. Walters

  • Preferences and perceptions of robot appearance and embodiment in human-robot interaction trials

    M.L. Walters;K.L. Koay;D.S. Syrdal;K. Dautenhahn

  • Exploratory studies on social spaces between humans and a mechanical-looking robot

    M. L. Walters;K. Dautenhahn;S. N. Woods;K. L. Koay

  • Toward Reliable Autonomous Robotic Assistants Through Formal Verification: A Case Study

    Matt Webster;Clare Dixon;Michael Fisher;Maha Salem

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    Farshid Amirabdollahian;Kerstin Dautenhahn;Clare Dixon;Kerstin I Eder

Frequent Co-Authors

Kerstin Dautenhahn
Kerstin Dautenhahn University of Waterloo
Michael L. Walters
Michael L. Walters University of Hertfordshire
Chrystopher L. Nehaniv
Chrystopher L. Nehaniv University of Waterloo
Michael Fisher
Michael Fisher University of Manchester
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Márta Gácsi
Márta Gácsi Eötvös Loránd University
Ádám Miklósi
Ádám Miklósi Eötvös Loránd University
Jim Torresen
Jim Torresen University of Oslo
Rachid Alami
Rachid Alami Laboratory for Analysis and Architecture of Systems
Ben Kröse
Ben Kröse Amsterdam University of Applied Sciences

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