World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6139
World Ranking
10233
National Ranking
312

Abhinav Dhall 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 Abhinav Dhall 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Abhinav Dhall 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 Abhinav Dhall 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

Abhinav Dhall is affiliated with Monash University in Australia. Their research primarily focuses on computer science, with significant contributions in the subfields of computer vision and pattern recognition, human-computer interaction, cognitive neuroscience, experimental and cognitive psychology, and artificial intelligence.

The scientist's recent published papers include the following:

  • UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images, 2021, IEEE Transactions on Instrumentation and Measurement
  • Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization, 2023, Computer Vision and Image Understanding
  • Audio-Visual Automatic Group Affect Analysis, 2021, IEEE Transactions on Affective Computing
  • Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines, 2023, INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

Frequent co-authors in their work include:

  • Munawar Hayat
  • Shreya Ghosh
  • Kalin Stefanov
  • Ramanathan Subramanian
  • Zhixi Cai

Common venues where their research is published are:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • Computer Vision and Image Understanding
  • Proceedings of the 30th ACM International Conference on Multimedia
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

Abhinav Dhall has contributed to book publications, including works published by Springer Science+Business Media and Frontiers Media. Titles include:

  • Computer Vision and Image Processing, 2022
  • Computer Vision and Image Processing, 2022
  • Bridging the Gap between Machine Learning and Affective Computing, 2023

Their research encompasses topics such as:

  • Advanced Image Processing Techniques
  • Gaze Tracking and Assistive Technology
  • Emotion and Mood Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Image Enhancement Techniques
  • Human Pose and Action Recognition

Best Publications

  • 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

  • Multimodal assistive technologies for depression diagnosis and monitoring

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

  • UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images

    Praful Hambarde;Subrahmanyam Murala;Abhinav Dhall

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

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Jesse Hoey

  • 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

  • Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

    Komal Chugh;Parul Gupta;Abhinav Dhall;Ramanathan Subramanian

  • Prediction and Localization of Student Engagement in the Wild

    Amanjot Kaur;Aamir Mustafa;Love Mehta;Abhinav Dhall

  • Automatic Group Happiness Intensity Analysis

    Abhinav Dhall;Roland Goecke;Tom Gedeon

  • The more the merrier: Analysing the affect of a group of people in images

    Abhinav Dhall;Jyoti Joshi;Karan Sikka;Roland Goecke

  • Monocular Image 3D Human Pose Estimation under Self-Occlusion

    Ibrahim Radwan;Abhinav Dhall;Roland Goecke

  • Weakly supervised pain localization using multiple instance learning

    Karan Sikka;Abhinav Dhall;Marian Bartlett

  • EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

    Abhinav Dhall;Garima Sharma;Roland Goecke;Tom Gedeon

  • Self-Stimulatory Behaviours in the Wild for Autism Diagnosis

    Shyam Sundar Rajagopalan;Abhinav Dhall;Roland Goecke

  • MARLIN: Masked Autoencoder for facial video Representation LearnINg

    Unknown

  • Dense and Diverse Capsule Networks: Making the Capsules Learn Better

    Sai Samarth R. Phaye;Apoorva Sikka;Abhinav Dhall;Deepti R. Bathula

Frequent Co-Authors

Roland Goecke
Roland Goecke University of New South Wales
Nicu Sebe
Nicu Sebe University of Trento
Subrahmanyam Murala
Subrahmanyam Murala Indian Institute of Technology Ropar
Michael Wagner
Michael Wagner University of Canberra
Santanu Chaudhury
Santanu Chaudhury Indian Institute of Technology Delhi
Guoying Zhao
Guoying Zhao University of Oulu
Marian Stewart Bartlett
Marian Stewart Bartlett Apple (United States)
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Jesse Hoey
Jesse Hoey University of Waterloo
Gordon Parker
Gordon Parker University of New South Wales

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