World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
85
Citations
57720
World Ranking
14333
National Ranking
7246

Hugo J.W.L. Aerts publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Hugo J.W.L. Aerts sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 280 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Hugo J.W.L. Aerts D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Hugo J.W.L. Aerts sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 85 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Hugo J.W.L. Aerts is affiliated with Brigham and Women's Hospital in the United States. Their research primarily spans the field of Medicine, with 428 publications, and notably focuses on several subfields including Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Oncology, and Cardiology and Cardiovascular Medicine.

The main topics addressed in their work include Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Artificial Intelligence in Healthcare and Education, Medical Imaging Techniques and Applications, Cardiac Imaging and Diagnostics, AI in Cancer Detection, and Advanced X-ray and CT Imaging.

Their recent papers highlight a range of subjects relevant to medical imaging and artificial intelligence. Notable publications include:

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping, 2020, Radiology
  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Artificial intelligence in radiation oncology, 2020, Nature Reviews Clinical Oncology
  • Artificial intelligence for clinical oncology, 2021, Cancer Cell
  • Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA, 2023, Nature

Aerts collaborates regularly with several coauthors who have contributed to multiple publications together, including Raymond H. Mak, Benjamin H. Kann, Danielle S. Bitterman, Michael T. Lu, and Zezhong Ye.

Their work is published frequently in several prominent venues, with the greatest number of papers appearing in:

  • arXiv (Cornell University)
  • International Journal of Radiation Oncology*Biology*Physics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Lancet Digital Health
  • Cancer Research

Best Publications

  • Computational Radiomics System to Decode the Radiographic Phenotype

    Joost J.M. van Griethuysen;Joost J.M. van Griethuysen;Joost J.M. van Griethuysen;Andriy Fedorov;Chintan Parmar;Ahmed Hosny

  • Radiomics: extracting more information from medical images using advanced feature analysis.

    Philippe Lambin;Emmanuel Rios-Velazquez;Ralph Leijenaar;Sara Carvalho

  • Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Hugo J W L Aerts;Emmanuel Rios Velazquez;Ralph T H Leijenaar;Chintan Parmar

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Alex Zwanenburg;Alex Zwanenburg;Martin Vallières;Mahmoud A. Abdalah;Hugo J. W. L. Aerts;Hugo J. W. L. Aerts

  • Artificial intelligence in radiology

    Ahmed Hosny;Chintan Parmar;John Quackenbush;Lawrence H. Schwartz;Lawrence H. Schwartz

  • Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

    Christopher Abbosh;Nicolai J. Birkbak;Nicolai J. Birkbak;Gareth A. Wilson;Gareth A. Wilson;Mariam Jamal-Hanjani

  • Artificial intelligence in cancer imaging: Clinical challenges and applications.

    Wenya Linda Bi;Ahmed Hosny;Matthew B. Schabath;Maryellen L. Giger

  • Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution

    Nicholas McGranahan;Rachel Rosenthal;Crispin T. Hiley;Crispin T. Hiley;Andrew J. Rowan

  • Applications and limitations of radiomics

    Stephen S F Yip;Hugo J W L Aerts;Hugo J W L Aerts

  • Imaging biomarker roadmap for cancer studies.

    James P.B. O'Connor;Eric O. Aboagye;Judith E. Adams;Hugo J.W.L. Aerts;Hugo J.W.L. Aerts

  • Machine Learning methods for Quantitative Radiomic Biomarkers

    Chintan Parmar;Chintan Parmar;Patrick Grossmann;Johan Bussink;Philippe Lambin

  • CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

    Thibaud Patrick Coroller;Thibaud Patrick Coroller;Patrick Grossmann;Patrick Grossmann;Ying Hou;Emmanuel Rios Velazquez

  • Robust Radiomics feature quantification using semiautomatic volumetric segmentation.

    Chintan Parmar;Chintan Parmar;Chintan Parmar;Emmanuel Rios Velazquez;Emmanuel Rios Velazquez;Ralph Leijenaar;Mohammed Jermoumi;Mohammed Jermoumi

  • The Potential of Radiomic-Based Phenotyping in Precision Medicine: A Review

    Hugo J. W. L. Aerts

  • Inconsistency in large pharmacogenomic studies

    Benjamin Haibe-Kains;Nehme El-Hachem;Nicolai Juul Birkbak;Andrew C. Jin

  • Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

    Martin Vallières;Emily Kay-Rivest;Léo Jean Perrin;Xavier Liem

  • Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

    Ahmed Hosny;Chintan Parmar;Thibaud P. Coroller;Patrick Grossmann

  • Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

    Yiwen Xu;Ahmed Hosny;Ahmed Hosny;Roman Zeleznik;Roman Zeleznik;Chintan Parmar

  • Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer

    Chintan Parmar;Chintan Parmar;Ralph T. H. Leijenaar;Patrick Grossmann;Emmanuel Rios Velazquez

  • Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

    Hugo J.W.L. Aerts;Emmanuel Rios Velazquez;Ralph T.H. Leijenaar;Chintan Parmar

Frequent Co-Authors

Philippe Lambin
Philippe Lambin Maastricht University
Dirk De Ruysscher
Dirk De Ruysscher Maastricht University
Benjamin Haibe-Kains
Benjamin Haibe-Kains Princess Margaret Cancer Centre
Udo Hoffmann
Udo Hoffmann Harvard University
Robert J. Gillies
Robert J. Gillies Moffitt Cancer Center
John Quackenbush
John Quackenbush Harvard University
Regina G. H. Beets-Tan
Regina G. H. Beets-Tan Antoni van Leeuwenhoek Hospital
Charles Swanton
Charles Swanton The Francis Crick Institute
Lawrence H. Schwartz
Lawrence H. Schwartz Columbia University
Leming Shi
Leming Shi Fudan University

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