World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
10236
World Ranking
9546
National Ranking
4048

David B. Kaber 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 David B. Kaber 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

David B. Kaber 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 David B. Kaber 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

David B. Kaber is affiliated with the University of Florida in the United States. Their research primarily focuses on human-automation interaction, safety, and ergonomics, with extensive work on human-machine systems and biomedical engineering.

The scientist has published numerous articles in prominent venues, frequently contributing to:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Human-Machine Systems
  • AHFE International
  • International Journal of Industrial Ergonomics
  • 2020 IEEE International Conference on Human-Machine Systems (ICHMS)

Key research topics covered in their work include:

  • Human-Automation Interaction and Safety
  • Traffic and Road Safety
  • Safety Warnings and Signage
  • Muscle Activation and Electromyography Studies
  • EEG and Brain-Computer Interfaces
  • Occupational Health and Safety Research
  • Motor Control and Adaptation

Within their fields of study, David B. Kaber has contributed to subfields such as:

  • Social Psychology
  • Safety, Risk, Reliability and Quality
  • Biomedical Engineering
  • Cognitive Neuroscience
  • Radiological and Ultrasound Technology

Frequent co-authors in their research include:

  • Enrique Herrera-Viedma
  • Giancarlo Fortino
  • Andreas Nuernberger
  • Sam Kwong
  • Fei-Yue Wang

Recent publications by David B. Kaber highlight various aspects of ergonomics, human-machine interaction, and control interfaces:

  • Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes, 2024, IEEE Transactions on Human-Machine Systems
  • Assessing Workload in Using Electromyography (EMG)-Based Prostheses, 2023, Ergonomics
  • Age Differences in Driver Visual Behavior and Vehicle Control When Driving with In-Vehicle and On-Road Deliveries of Service Logo Signs, 2022, International Journal of Industrial Ergonomics
  • Utility of Functional Transparency and Usability in UAV Supervisory Control Interface Design, 2021, International Journal of Social Robotics
  • Enhancement and Application of a UAV Control Interface Evaluation Technique, 2020, ACM Transactions on Human-Robot Interaction

Best Publications

  • Level of automation effects on performance, situation awareness and workload in a dynamic control task

    Mica R. Endsley;David B. Kaber

  • Common metrics for human-robot interaction

    Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis

  • The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task

    David B. Kaber;Mica R. Endsley

  • Telepresence

    Unknown

  • Situation awareness and workload in driving while using adaptive cruise control and a cell phone

    Ruiqi Ma;David B. Kaber

  • Out-of-the-Loop Performance Problems and the Use of Intermediate Levels of Automation for Improved Control System Functioning and Safety

    David B. Kaber;Mica R. Endsley

  • Usability and Safety in Electronic Medical Records Interface Design: A Review of Recent Literature and Guideline Formulation.

    Maryam Zahabi;David B. Kaber;Manida Swangnetr

  • Design of Automation for Telerobots and the Effect on Performance, Operator Situation Awareness, and Subjective Workload

    David B. Kaber;Emrah Onal;Mica R. Endsley

  • Situation awareness implications of adaptive automation for information processing in an air traffic control-related task

    David B. Kaber;Carlene M. Perry;Noa Segall;Christopher K. McClernon

  • On the Design of Adaptive Automation for Complex Systems

    David B. Kaber;Jennifer M. Riley;Kheng-Wooi Tan;Mica R. Endsley

  • Human-Automation Interaction Research: Past, Present, and Future

    Peter A. Hancock;Richard J. Jagacinski;Raja Parasuraman;Christopher D. Wickens

  • Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior

    David B. Kaber;Yulan Liang;Yu Zhang;Meghan L. Rogers

  • Issues in Human–Automation Interaction Modeling: Presumptive Aspects of Frameworks of Types and Levels of Automation:

    David B. Kaber

  • Adaptive automation of human-machine system information-processing functions.

    David B. Kaber;Melanie C. Wright;Lawrence J. Prinzel;Michael P. Clamann

  • Adaptive Automation of a Dynamic Control Task Based on Secondary Task Workload Measurement

    David B. Kaber;Jennifer M. Riley

  • Team situation awareness for process control safety and performance

    David B. Kaber;Mica R. Endsley

  • Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection

    M. Swangnetr;D. B. Kaber

  • Service robot feature design effects on user perceptions and emotional responses

    Tao Zhang;David B. Kaber;Biwen Zhu;Manida Swangnetr

  • Situation awareness and attention allocation measures for quantifying telepresence experiences in teleoperation

    Jennifer M. Riley;David B. Kaber;John V. Draper

  • Effects of physical workload on cognitive task performance and situation awareness

    Carlene M. Perry;Mohamed A. Sheik-Nainar;Noa Segall;Ruiqi Ma

  • The Red-Line of Workload: Theory, Research, and Design

    Rebecca Grier;Christopher Wickens;David Kaber;David L. Strayer

  • Common metrics for human-robot interaction

    T. Fong;D. Kaber;M. Lewis;J. Scholtz

Frequent Co-Authors

Mica R. Endsley
Mica R. Endsley SA Technologies (United States)
Mo-Yuen Chow
Mo-Yuen Chow North Carolina State University
Terrence Fong
Terrence Fong Ames Research Center
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Robert R. Hoffman
Robert R. Hoffman Florida Institute for Human and Machine Cognition
Peter A. Hancock
Peter A. Hancock University of Central Florida
Alan C. Schultz
Alan C. Schultz United States Naval Research Laboratory
Raja Parasuraman
Raja Parasuraman George Mason University
Julie A. Adams
Julie A. Adams Oregon State University
Aaron Steinfeld
Aaron Steinfeld Carnegie Mellon University

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