World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8302
World Ranking
11036
National Ranking
697

Hatice Gunes 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 Hatice Gunes 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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.

Hatice Gunes 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 Hatice Gunes sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Hatice Gunes is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple areas within psychology and computer science, focusing on the intersection of these fields.

The main fields of study for this researcher are:

  • Psychology
  • Computer Science

The subfields they work in include:

  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Artificial Intelligence
  • Cognitive Neuroscience

The primary topics of their work cover:

  • Emotion and Mood Recognition
  • Face recognition and analysis
  • Social Robot Interaction and HRI
  • Face Recognition and Perception
  • Digital Mental Health Interventions
  • Resilience and Mental Health
  • Context-Aware Activity Recognition Systems

Frequent co-authors who collaborate regularly with Hatice Gunes are:

  • Micol Spitale
  • Siyang Song
  • Nikhil Churamani
  • Sinan Kalkan
  • Jiaee Cheong

Their publications appear most often in these venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • ACM Transactions on Human-Robot Interaction
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)

Some recent papers authored or co-authored by Hatice Gunes include:

  • Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition, 2022, IEEE Transactions on Affective Computing
  • Reproducibility in Human-Robot Interaction: Furthering the Science of HRI, 2022, Current Robotics Reports
  • Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition, 2022, IEEE Transactions on Affective Computing
  • Can Robots Help in the Evaluation of Mental Wellbeing in Children? An Empirical Study, 2022, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

Best Publications

  • Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

    Evangelos Sariyanidi;Hatice Gunes;Andrea Cavallaro

  • Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space

    M. A. Nicolaou;H. Gunes;M. Pantic

  • Automatic, Dimensional and Continuous Emotion Recognition

    Hatice Gunes;Maja Pantic

  • Bi-modal emotion recognition from expressive face and body gestures

    Hatice Gunes;Massimo Piccardi

  • Categorical and dimensional affect analysis in continuous input: Current trends and future directions

    Hatice Gunes;BjöRn Schuller

  • Emotion representation, analysis and synthesis in continuous space: A survey

    Hatice Gunes;Bjorn Schuller;Maja Pantic;Roddy Cowie

  • Output-associative RVM regression for dimensional and continuous emotion prediction

    Mihalis A. Nicolaou;Hatice Gunes;Maja Pantic

  • How to distinguish posed from spontaneous smiles using geometric features

    Michel F. Valstar;Hatice Gunes;Maja Pantic

  • A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior

    H. Gunes;M. Piccardi

  • Automatic Temporal Segment Detection and Affect Recognition From Face and Body Display

    H. Gunes;M. Piccardi

  • Building Autonomous Sensitive Artificial Listeners

    M. Schroder;E. Bevacqua;R. Cowie;F. Eyben

  • Affect recognition from face and body: early fusion vs. late fusion

    H. Gunes;M. Piccardi

  • Investigating Bias and Fairness in Facial Expression Recognition

    Tian Xu;Jennifer White;Sinan Kalkan;Hatice Gunes

  • Assessing facial beauty through proportion analysis by image processing and supervised learning

    Hatice Gunes;Massimo Piccardi

  • Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and Engagement

    Oya Celiktutan;Efstratios Skordos;Hatice Gunes

  • From the Lab to the Real World: Affect Recognition Using Multiple Cues and Modalities

    Hatice Gunes;Massimo Piccardi;Maja Pantic

  • Dimensional emotion prediction from spontaneous head gestures for interaction with sensitive artificial listeners

    Hatice Gunes;Maja Pantic

  • Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space

    Mihalis A. Nicolaou;Hatice Gunes;Maja Pantic

  • Learning Bases of Activity for Facial Expression Recognition

    Evangelos Sariyanidi;Hatice Gunes;Andrea Cavallaro

  • Face Alignment Assisted by Head Pose Estimation

    Heng Yang;Wenxuan Mou;Yichi Zhang;Ioannis Patras

Frequent Co-Authors

Massimo Piccardi
Massimo Piccardi University of Technology Sydney
Maja Pantic
Maja Pantic Imperial College London
Björn Schuller
Björn Schuller Imperial College London
Ioannis Patras
Ioannis Patras Queen Mary University of London
Michel Valstar
Michel Valstar University of Nottingham
Florian Eyben
Florian Eyben Technical University of Munich
Andrea Cavallaro
Andrea Cavallaro Queen Mary University of London
Roddy Cowie
Roddy Cowie Queen's University Belfast
Albert Ali Salah
Albert Ali Salah Utrecht University
Martin Wöllmer
Martin Wöllmer Technical University of Munich

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science can unlock a range of career options—and related fields offer even more opportunities. For those interested in teaching, positions such as jobs with elementary education and environmental science degree are becoming increasingly popular. These roles combine science expertise with educational skills, serving both schools and community organizations.

If flexibility is key, an online computer science degree allows you to study at your own pace while gaining in-demand coding, analytics, and software development skills. These programs are great for working adults seeking a tech-focused career shift.

Engineering fields also offer exciting potential for online learning. Consider options such as an environmental engineering degree online or the cheapest online mechanical engineering degree to blend technical expertise with affordability. These degrees open doors to industries including manufacturing, sustainability, and renewable energy.

No matter your focus—education, computer science, or engineering—online degree pathways can expand your possibilities and help you reach your career goals.

Best Scientists Citing Hatice Gunes

Trending Scientists

Recently Published Articles