World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
13280
World Ranking
6696
National Ranking
400

Georgios Tzimiropoulos 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 Georgios Tzimiropoulos 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Georgios Tzimiropoulos 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 Georgios Tzimiropoulos 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

Georgios Tzimiropoulos is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily focuses on the field of Computer Science, with an emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Signal Processing, and Media Technology.

The main topics of their work include:

  • Face recognition and analysis
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Face and Expression Recognition
  • Advanced Image and Video Retrieval Techniques

Frequent co-authors in their research include:

  • Adrian Bulat
  • Brais Martínez
  • Ioannis Patras
  • Christos Tzelepis
  • Enrique Sánchez

They have published extensively in a variety of venues, notably:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Agriculture
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some of their recent papers include:

  • "Estimation of continuous valence and arousal levels from faces in naturalistic conditions," 2021, published in Nature Machine Intelligence
  • "Training Binary Neural Networks with Real-to-Binary Convolutions," 2020, published in arXiv (Cornell University)
  • "Space-time Mixing Attention for Video Transformer," 2021, published in arXiv (Cornell University)
  • "Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition," 2021, published in IEEE Transactions on Affective Computing
  • "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space," 2021, published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

  • How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

    Adrian Bulat;Georgios Tzimiropoulos

  • 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge

    Christos Sagonas;Georgios Tzimiropoulos;Stefanos Zafeiriou;Maja Pantic

  • 300 Faces In-The-Wild Challenge

    Christos Sagonas;Epameinondas Antonakos;Georgios Tzimiropoulos;Stefanos Zafeiriou

  • Human Pose Estimation via Convolutional Part Heatmap Regression

    Adrian Bulat;Georgios Tzimiropoulos

  • A Semi-automatic Methodology for Facial Landmark Annotation

    Christos Sagonas;Georgios Tzimiropoulos;Stefanos Zafeiriou;Maja Pantic

  • Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

    Aaron S. Jackson;Adrian Bulat;Vasileios Argyriou;Georgios Tzimiropoulos

  • Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

    Michael P. Pound;Jonathan A. Atkinson;Alexandra J. Townsend;Michael H. Wilson

  • To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First

    Adrian Bulat;Jing Yang;Georgios Tzimiropoulos

  • The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results

    Jie Shen;Stefanos Zafeiriou;Grigoris G. Chrysos;Jean Kossaifi

  • Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs

    Adrian Bulat;Georgios Tzimiropoulos

  • Combining residual networks with LSTMs for lipreading

    Themos Stafylakis;Georgios Tzimiropoulos

  • Optimization Problems for Fast AAM Fitting in-the-Wild

    Georgios Tzimiropoulos;Maja Pantic

  • Project-Out Cascaded Regression with an application to face alignment

    Georgios Tzimiropoulos

  • Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild

    Georgios Tzimiropoulos;Maja Pantic

  • End-to-End Audiovisual Speech Recognition

    Stavros Petridis;Themos Stafylakis;Pingehuan Ma;Feipeng Cai

  • Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

    Adrian Bulat;Georgios Tzimiropoulos

  • AFEW-VA database for valence and arousal estimation in-the-wild

    Jean Kossaifi;Georgios Tzimiropoulos;Sinisa Todorovic;Maja Pantic

  • Subspace Learning from Image Gradient Orientations

    G. Tzimiropoulos;S. Zafeiriou;M. Pantic

  • Robust FFT-Based Scale-Invariant Image Registration with Image Gradients

    G Tzimiropoulos;V Argyriou;S Zafeiriou;T Stathaki

  • Estimation of continuous valence and arousal levels from faces in naturalistic conditions

    Antoine Toisoul;Jean Kossaifi;Jean Kossaifi;Adrian Bulat;Georgios Tzimiropoulos

  • Training binary neural networks with real-to-binary convolutions

    Brais Martinez;Jing Yang;Adrian Bulat;Georgios Tzimiropoulos

Frequent Co-Authors

Maja Pantic
Maja Pantic Imperial College London
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Michel Valstar
Michel Valstar University of Nottingham
Erik H. Murchie
Erik H. Murchie University of Nottingham
Darren M. Wells
Darren M. Wells University of Nottingham
Tony P. Pridmore
Tony P. Pridmore University of Nottingham
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Sergio Escalera
Sergio Escalera University of Barcelona
Antonis A. Argyros
Antonis A. Argyros University of Crete
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay

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