World's Best Scientists 2026 revealed!
Aurélio Campilho

Aurélio Campilho

D-Index & Metrics

Computer Science

D-Index
38
Citations
8915
World Ranking
10025
National Ranking
28

Aurélio Campilho 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 Aurélio Campilho 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Aurélio Campilho 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 Aurélio Campilho 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

Aurélio Campilho is affiliated with the University of Porto in Portugal. Their research spans primarily across the fields of Medicine and Computer Science, with a strong focus on medical image analysis and artificial intelligence applications within healthcare.

Their main research subfields include Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Ophthalmology, Pulmonary and Respiratory Medicine, and Computer Vision and Pattern Recognition. The topics addressed in their work cover a range of medical imaging and diagnostic applications such as:

  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Retinal Imaging and Analysis
  • Glaucoma and retinal disorders
  • Lung Cancer Diagnosis and Treatment
  • Retinal Diseases and Treatments

Aurélio Campilho has frequently published in venues including:

  • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • Medical Image Analysis
  • Computers in Biology and Medicine
  • Artificial Intelligence in Medicine
  • Scientific Reports

Some of the recent papers authored by Campilho or in collaboration include:

  • DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images, 2020, Medical Image Analysis
  • Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images, 2020, IEEE Access
  • Microaneurysm detection in color eye fundus images for diabetic retinopathy screening, 2020, Computers in Biology and Medicine
  • O-MedAL: Online active deep learning for medical image analysis, 2020, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • A multi-task CNN approach for lung nodule malignancy classification and characterization, 2021, Expert Systems with Applications

Their research collaborations include frequent co-authors such as Ana Maria Mendonça, João Pedrosa, Guilherme Aresta, Carlos Ferreira, and Asim Smailagic.

Aurélio Campilho has also contributed to book publications. One notable example is an edited volume titled "Image Analysis and Recognition," published by Springer Science+Business Media in 2020.

Best Publications

  • Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction

    A.M. Mendonca;A. Campilho

  • Classification of breast cancer histology images using Convolutional Neural Networks

    Teresa Araújo;Guilherme Aresta;Eduardo Castro;José Rouco

  • Image Analysis and Recognition

    Aurélio Campilho;Mohamed S. Kamel

  • BACH: Grand challenge on breast cancer histology images.

    Guilherme Aresta;Teresa Araújo;Scotty Kwok;Sai Saketh Chennamsetty

  • End-to-End Adversarial Retinal Image Synthesis

    Pedro Costa;Adrian Galdran;Maria Ines Meyer;Meindert Niemeijer

  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

    Prasanna Porwal;Prasanna Porwal;Samiksha Pachade;Manesh Kokare;Girish Deshmukh

  • An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images

    Behdad Dashtbozorg;Ana Maria Mendonca;Aurelio Campilho

  • On combining classifiers using sum and product rules

    Luís A. Alexandre;Aurélio C. Campilho;Mohamad Kamel

  • Cell Nuclei and Cytoplasm Joint Segmentation Using the Sliding Band Filter

    Pedro Quelhas;Monica Marcuzzo;Ana Maria Mendonca;Aurélio Campilho

  • Towards Adversarial Retinal Image Synthesis.

    Pedro Costa;Adrian Galdran;Maria Inês Meyer;Michael David Abràmoff

  • DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images

    Teresa Araújo;Guilherme Aresta;Luís Mendonça;Susana Penas

  • Optic disc segmentation using the sliding band filter.

    Behdad Dashtbozorg;Ana Maria Mendonça;Aurélio J. C. Campilho

  • CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

    Hassan Al Hajj;Mathieu Lamard;Pierre-Henri Conze;Soumali Roychowdhury

  • Segmentation of the carotid intima-media region in B-mode ultrasound images

    Rui Rocha;Aurélio Campilho;Jorge Silva;Elsa Azevedo

  • Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2

    Carlos Alexandre Ferreira;Tânia Fernandes Melo;P Sousa;Maria Inês Meyer

  • Performance evaluation of image segmentation

    Fernando C. Monteiro;Aurélio C. Campilho

  • Automatic localization of the optic disc by combining vascular and intensity information.

    Ana Maria Mendonça;António V. Sousa;António V. Sousa;Luís Mendonça;Aurélio J. C. Campilho

  • Hessian based approaches for 3D lung nodule segmentation

    L. Gonçalves;J. Novo;A. Campilho

  • A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images

    Pedro Costa;Adrian Galdran;Asim Smailagic;Aurelio Campilho

  • iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network

    Guilherme Aresta;Colin Jacobs;Teresa Araújo;António Cunha

  • Real-time implementation of an optical flow algorithm

    M.V. Correia;A.C. Campilho

Frequent Co-Authors

Mohamed S. Kamel
Mohamed S. Kamel University of Waterloo
Asim Smailagic
Asim Smailagic Carnegie Mellon University
Bram van Ginneken
Bram van Ginneken Radboud University
Filipe Magalhães
Filipe Magalhães University of Porto
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
Max A. Viergever
Max A. Viergever Utrecht University
James A. H. Murray
James A. H. Murray Cardiff University
Ben Scheres
Ben Scheres Wageningen University & Research
José Ramos
José Ramos University of Córdoba

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 in the USA opens doors to a wide range of study options and exciting career paths. For those looking for flexibility, earning an online associate degree in computer science is a great way to get started. This pathway makes it possible to learn foundational skills and pursue entry-level roles—often at your own pace.

Affordability is also a key concern for many students. Researching the most affordable online colleges can help you find quality programs that fit your budget. Additionally, if you’re worried about your academic record, there are online schools that accept low gpa, ensuring more students have the opportunity to pursue their goals.

A degree in computer science can unlock diverse roles across tech, finance, healthcare, and more. Interested in other fields? Discover what can i do with an environmental science degree to compare pathways and find the right fit for your interests and ambitions.

Best Scientists Citing Aurélio Campilho

Trending Scientists

Recently Published Articles