World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3620
World Ranking
13730
National Ranking
877

Ognjen Arandjelovic 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 Ognjen Arandjelovic 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Ognjen Arandjelovic 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 Ognjen Arandjelovic 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Ognjen Arandjelovic is affiliated with the University of St Andrews in the United Kingdom and specializes mainly in the field of Computer Science. Their research contributions focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics, and Experimental and Cognitive Psychology.

Their work spans a range of topics including AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Currency Recognition and Detection, Digital Media Forensic Detection, Digital Imaging for Blood Diseases, and Generative Adversarial Networks and Image Synthesis.

Notable recent papers authored or co-authored by Ognjen Arandjelovic include:

  • Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition, 2022, IEEE Transactions on Affective Computing
  • Review of Automatic Microexpression Recognition in the Past Decade, 2021, Machine Learning and Knowledge Extraction
  • Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning, 2021, Cancers
  • Believe the HiPe: Hierarchical perturbation for fast, robust, and model-agnostic saliency mapping, 2022, Pattern Recognition
  • Tuberculosis Bacteria Detection and Counting in Fluorescence Microscopy Images Using a Multi-Stage Deep Learning Pipeline, 2022, Information

Frequent co-authors collaborating with Arandjelovic include David J. Harrison, Neofytos Dimitriou, Peter D. Caie, Zhongliang Guo, and Georg Wölflein, representing sustained research partnerships and interdisciplinary efforts.

Arandjelovic's research outputs have been published most often in venues such as arXiv (Cornell University), Sci, Pattern Recognition, Cancers, and Information. The distribution of their work shows a consistent engagement with both foundational and applied aspects of computer science and medical imaging technologies.

Best Publications

  • Face recognition with image sets using manifold density divergence

    O. Arandjelovic;G. Shakhnarovich;J. Fisher;R. Cipolla

  • Deep Learning for Whole Slide Image Analysis: An Overview.

    Neofytos Dimitriou;Ognjen Arandjelović;Peter D Caie

  • Automatic face recognition for film character retrieval in feature-length films

    O. Arandjelovic;A. Zisserman

  • Infrared face recognition: A comprehensive review of methodologies and databases

    Reza Shoja Ghiass;Ognjen Arandjelović;Abdelhakim Bendada;Xavier Maldague

  • Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition

    Unknown

  • Boosted manifold principal angles for image set-based recognition

    Tae-Kyun Kim;Ognjen Arandjelović;Roberto Cipolla

  • Incremental learning of temporally-coherent Gaussian mixture models

    Ognjen Arandjelovic;R. Cipolla

  • Incremental Learning of Temporally-Coherent Gaussian Mixture Models

    Ognjen Arandjelovic;Roberto Cipolla

  • Crowd detection from still images

    Ognjen Arandjelovic

  • Semantic Photo Synthesis

    Matthew Johnson;Gabriel J. Brostow;Jamie Shotton;Ognjen Arandjelovic

  • Face recognition from video using the generic shape-illumination manifold

    Ognjen Arandjelović;Roberto Cipolla

  • Automatic attribution of ancient Roman imperial coins

    Ognjen Arandjelovic

  • A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution

    Ognjen Arandjelovic;R. Cipolla

  • Discriminative extended canonical correlation analysis for pattern set matching

    Ognjen Arandjelović

  • Infrared face recognition: A literature review

    Reza Shoja Ghiass;Ognjen Arandjelovic;Hakim Bendada;Xavier Maldague

  • Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space

    O. Arandjelovic;R. Cipolla

  • Using Twitter to learn about the autism community

    Adham Beykikhoshk;Ognjen Arandjelovic;Dinh Q. Phung;Svetha Venkatesh

  • A pose-wise linear illumination manifold model for face recognition using video

    Ognjen Arandjelović;Roberto Cipolla

  • Colour invariants under a non-linear photometric camera model and their application to face recognition from video

    Ognjen Arandjelović

  • Reading ancient coins: automatically identifying denarii using obverse legend seeded retrieval

    Ognjen Arandjelović

  • A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis

    Neofytos Dimitriou;Ognjen Arandjelović;David J. Harrison;Peter D. Caie

  • Precision medicine in digital pathology via image analysis and machine learning

    Peter D. Caie;Neofytos Dimitriou;Ognjen Arandjelović

  • Using Twitter to learn about the autism community

    Adham Beykikhoshk;Ognjen Arandjelovic;Dinh Phung;Svetha Venkatesh

  • Infrared face recognition: a comprehensive review of methodologies and databases

    Reza Shoja Ghiass;Ognjen Arandjelovic;Hakim Bendada;Xavier Maldague

  • Semantic Photo Synthesis

    Matthew Johnson;Gabriel J. Brostow;Jamie Shotton;Vivek Kwatra

Frequent Co-Authors

Svetha Venkatesh
Svetha Venkatesh Deakin University
Roberto Cipolla
Roberto Cipolla University of Cambridge
Dinh Phung
Dinh Phung Monash University
Xavier Maldague
Xavier Maldague Université Laval
David J. Harrison
David J. Harrison University of St Andrews
Terry Caelli
Terry Caelli Deakin University
Stephen H. Gillespie
Stephen H. Gillespie University of St Andrews
Andrew Zisserman
Andrew Zisserman University of Oxford
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Sergio A. Lambertucci
Sergio A. Lambertucci National University of Comahue

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