World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9377
World Ranking
6811
National Ranking
217

Roland Goecke 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 Roland Goecke 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Roland Goecke 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 Roland Goecke 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Roland Goecke is affiliated with the University of New South Wales in Australia and is active in research intersecting engineering, medicine, and psychology. Their body of work spans several subfields, primarily focusing on biomedical engineering, experimental and cognitive psychology, and cognitive neuroscience.

The main topics of Goecke's research include prosthetics and rehabilitation robotics, muscle activation and electromyography studies, emotion and mood recognition, mental health research topics, stroke rehabilitation and recovery, heart rate variability and autonomic control, and non-invasive vital sign monitoring.

Recent publications by Roland Goecke reflect a range of these topics and include:

  • Interpretation of Depression Detection Models via Feature Selection Methods (2020) in IEEE Transactions on Affective Computing
  • Exoskeleton Robots for Lower Limb Assistance: A Review of Materials, Actuation, and Manufacturing Methods (2021) in Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  • A Systematic Review of Neurophysiological Sensing for the Assessment of Acute Pain (2023) in npj Digital Medicine
  • Deeply Supervised Discriminative Learning for Adversarial Defense (2020) in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Multimodal Physiological Sensing for the Assessment of Acute Pain (2023) in Frontiers in Pain Research

Frequent co-authors collaborating with Goecke include Ramanathan Subramanian, Raul Fernandez Rojas, Shahid Hussain, Prashant K. Jamwal, and Ibrahim Radwan. These collaborations contribute to the interdisciplinary nature of their work, blending aspects of engineering, medicine, and psychological sciences.

The preferred publication venues highlight a mix of venues focusing on mechanical engineering, multimedia interaction, and medical robotics, including:

  • arXiv (Cornell University)
  • Mechanics Based Design of Structures and Machines
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  • IEEE Transactions on Medical Robotics and Bionics

With a substantial output across engineering, medicine, and psychology, Roland Goecke's work integrates technical, physiological, and cognitive perspectives. Their research contributes to advancing understanding and development in areas such as rehabilitation robotics, sensor-based physiological studies, and affective computing applied to mental health contexts.

Best Publications

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Collecting Large, Richly Annotated Facial-Expression Databases from Movies

    Abhinav Dhall;R. Goecke;S. Lucey;T. Gedeon

  • Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

    Abhinav Dhall;Roland Goecke;Simon Lucey;Tom Gedeon

  • Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

    Abhinav Dhall;O.V. Ramana Murthy;Roland Goecke;Jyoti Joshi

  • Emotion recognition using PHOG and LPQ features

    Abhinav Dhall;Akshay Asthana;Roland Goecke;Tom Gedeon

  • Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Karan Sikka

  • Emotion recognition in the wild challenge 2013

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Michael Wagner

  • From individual to group-level emotion recognition: EmotiW 5.0

    Abhinav Dhall;Roland Goecke;Shreya Ghosh;Jyoti Joshi

  • A Nonlinear Discriminative Approach to AAM Fitting

    J. Saragih;R. Goecke

  • An Investigation of Depressed Speech Detection: Features and Normalization.

    Nicholas Cummins;Julien Epps;Michael Breakspear;Roland Goecke

  • Multimodal assistive technologies for depression diagnosis and monitoring

    Jyoti Joshi;Roland Goecke;Roland Goecke;Sharifa Alghowinem;Abhinav Dhall

  • Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Julien Epps

  • EmotiW 2016: video and group-level emotion recognition challenges

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Jesse Hoey

  • Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

    Aamir Mustafa;Salman Khan;Munawar Hayat;Roland Goecke

  • Eye movement analysis for depression detection

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Gordon Parker

  • Head Pose and Movement Analysis as an Indicator of Depression

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Gordon Parkerx

  • EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

    Abhinav Dhall;Amanjot Kaur;Roland Goecke;Tom Gedeon

  • Diagnosis of depression by behavioural signals: a multimodal approach

    Nicholas Cummins;Jyoti Joshi;Abhinav Dhall;Vidhyasaharan Sethu

  • Detecting depression: A comparison between spontaneous and read speech

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Julien Epps

  • Can body expressions contribute to automatic depression analysis

    Jyoti Joshi;Roland Goecke;Gordon Parker;Michael Breakspear

Frequent Co-Authors

Abhinav Dhall
Abhinav Dhall Monash University
Michael Wagner
Michael Wagner University of Canberra
Julien Epps
Julien Epps University of New South Wales
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Gordon Parker
Gordon Parker University of New South Wales
Munawar Hayat
Munawar Hayat Monash University
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Guoying Zhao
Guoying Zhao University of Oulu
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia

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Related Online Degrees & Career Pathways

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