World's Best Scientists 2026 revealed!
Anant Madabhushi

Anant Madabhushi

D-Index & Metrics

Computer Science

D-Index
87
Citations
38549
World Ranking
707
National Ranking
373

Anant Madabhushi 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 Anant Madabhushi 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: 622 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Anant Madabhushi 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 Anant Madabhushi 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow, National Academy of Inventors
  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Anant Madabhushi is affiliated with Emory University in the United States. Their research spans medicine with a strong focus on medical imaging, radiology, oncology, and artificial intelligence applications in healthcare.

The scientist's main fields of study include:

  • Medicine

Within medicine, Madabhushi's subfields of study involve:

  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine
  • Oncology
  • Artificial Intelligence
  • Surgery

Key topics within their research portfolio cover:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • Cancer Immunotherapy and Biomarkers
  • Prostate Cancer Diagnosis and Treatment
  • Advanced X-ray and CT Imaging
  • Head and Neck Cancer Studies

Recent papers authored or coauthored by Anant Madabhushi include:

  • "Predicting cancer outcomes with radiomics and artificial intelligence in radiology," 2021, Nature Reviews Clinical Oncology
  • "Digital pathology and computational image analysis in nephropathology," 2020, Nature Reviews Nephrology
  • "Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology," 2020, Circulation Arrhythmia and Electrophysiology
  • "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update," 2024, Radiology Artificial Intelligence
  • "Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer," 2020, npj Breast Cancer

Madabhushi collaborates frequently with several coauthors including:

  • Pingfu Fu
  • Kaustav Bera
  • Vidya Sankar Viswanathan
  • Germán Corredor
  • Andrew Janowczyk

The researcher has published extensively in venues such as:

  • Cancer Research
  • Journal of Clinical Oncology
  • Journal of the American Society of Nephrology
  • Circulation
  • Regular and Young Investigator Award Abstracts

In addition to journal articles, Madabhushi has contributed to book literature, with a publication titled "Multimodal Learning for Clinical Decision Support" released by Springer Science+Business Media in 2021.

Throughout their career, Anant Madabhushi has been recognized with awards including:

  • Fellow, National Academy of Inventors (2020)
  • Fellow of the Indian National Academy of Engineering (INAE) (2015)

Best Publications

  • Applications of machine learning in drug discovery and development.

    Jessica Vamathevan;Dominic Clark;Paul Czodrowski;Ian Dunham

  • Histopathological Image Analysis: A Review

    M.N. Gurcan;L.E. Boucheron;A. Can;A. Madabhushi

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

    Kaustav Bera;Kurt A. Schalper;David L. Rimm;Vamsidhar Velcheti

  • Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.

    Andrew Janowczyk;Anant Madabhushi

  • Image analysis and machine learning in digital pathology: Challenges and opportunities

    Anant Madabhushi;George Lee

  • Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

    Jun Xu;Lei Xiang;Qingshan Liu;Hannah Gilmore

  • Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

    Geert J. S. Litjens;Robert Toth;Wendy J. M. van de Ven;Caroline Hoeks

  • Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

    M. Jorge Cardoso;Tal Arbel;Gustavo Carneiro;Tanveer Syeda-Mahmood

  • Predicting cancer outcomes with radiomics and artificial intelligence in radiology.

    Kaustav Bera;Kaustav Bera;Nathaniel Braman;Amit Gupta;Amit Gupta;Vamsidhar Velcheti

  • Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

    Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore

  • Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

    Nathaniel M. Braman;Maryam Etesami;Prateek Prasanna;Christina Dubchuk

  • Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

    Angel Cruz-Roa;Angel Cruz-Roa;Hannah Leah Gilmore;Ajay Basavanhally;Michael Feldman

  • Assessment of algorithms for mitosis detection in breast cancer histopathology images

    Mitko Veta;Paul J. van Diest;Stefan M. Willems;Haibo Wang

  • A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.

    Jun Xu;Xiaofei Luo;Guanhao Wang;Hannah Leah Gilmore

  • Digital imaging in pathology: whole-slide imaging and beyond.

    Farzad Ghaznavi;Andrew Evans;Anant Madabhushi;Michael Feldman

  • A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

    Angel Alfonso Cruz-Roa;John Edison Arevalo Ovalle;Anant Madabhushi;Fabio Augusto González Osorio

  • Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

    S. Naik;S. Doyle;S. Agner;A. Madabhushi

  • Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions

    A. Madabhushi;D.N. Metaxas

  • Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

    Haibo Wang;Angel Cruz-Roa;Ajay Basavanhally;Hannah Leah Gilmore

Frequent Co-Authors

Michael Feldman
Michael Feldman University of Pennsylvania
John E. Tomaszewski
John E. Tomaszewski University at Buffalo, State University of New York
Mark A. Rosen
Mark A. Rosen University of Pennsylvania
Shridar Ganesan
Shridar Ganesan Rutgers, The State University of New Jersey
Robert E. Lenkinski
Robert E. Lenkinski The University of Texas Southwestern Medical Center
Jonathan I. Epstein
Jonathan I. Epstein Johns Hopkins University
Fabio A. González
Fabio A. González National University of Colombia
John Kurhanewicz
John Kurhanewicz University of California, San Francisco
David L. Rimm
David L. Rimm Yale University
Metin N. Gurcan
Metin N. Gurcan Wake Forest University

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