2026 Charles E. Kahn: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	35	11611	11279	4763	4557	159	5899

Charles E. Kahn 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 Charles E. Kahn sits on this spectrum.

32 publications 991+

This scientist: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Charles E. Kahn 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 Charles E. Kahn sits on this spectrum.

30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Charles E. Kahn is affiliated with the University of Pennsylvania in the United States. Their research predominantly focuses on Medicine, with particular expertise in the subfields of Radiology, Nuclear Medicine and Imaging, Health Informatics, Artificial Intelligence, Biomedical Engineering, and Molecular Biology.

Their work spans several specialized topics, including:

Artificial Intelligence in Healthcare and Education
Radiomics and Machine Learning in Medical Imaging
Radiology practices and education
AI in cancer detection
Machine Learning in Healthcare
Biomedical Text Mining and Ontologies
Medical Imaging and Analysis

Charles E. Kahn has contributed frequently to various publication venues, with a significant number of their papers appearing in:

Radiology Artificial Intelligence
arXiv (Cornell University)
Radiology
Journal of the American College of Radiology
Studies in health technology and informatics

Their recent papers include the following:

"Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers" (2020, Radiology Artificial Intelligence)
"Metrics reloaded: recommendations for image analysis validation" (2024, Nature Methods)
"Artificial intelligence and machine learning in cancer imaging" (2022, Communications Medicine)
"A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI" (2021, Nature Medicine)
"Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update" (2024, Radiology Artificial Intelligence)

Frequent collaborators of Charles E. Kahn include:

Linda Moy
Tessa S. Cook
Hersh Sagreiya
Walter R. Witschey
James C. Gee

Best Publications

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.

John Mongan;Linda Moy;Charles E. Kahn

1086
Citations
Construction of a Bayesian network for mammographic diagnosis of breast cancer

Charles E. Kahn;Linda M. Roberts;Katherine A. Shaffer;Peter Haddawy

250
Citations
Automatic segmentation of liver structure in CT images

Kyongtae T. Bae;Maryellen L. Giger;Chin-Tu Chen;Charles E. Kahn

246
Citations
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies : QUADAS-AI

Viknesh Sounderajah;Hutan Ashrafian;Sherri Rose;Nigam H. Shah

215
Citations
Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.

Turgay Ayer;Jagpreet Chhatwal;Oguzhan Alagoz;Charles E. Kahn

199
Citations
Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Turgay Ayer;Oguzhan Alagoz;Jagpreet Chhatwal;Jude W. Shavlik

184
Citations
Overview of the CLEF 2009 medical image retrieval track

Henning Müller;Jayashree Kalpathy-Cramer;Ivan Eggel;Steven Bedrick

180
Citations
To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).

Patrick Omoumi;Alexis Ducarouge;Antoine Tournier;Hugh Harvey

152
Citations
Artificial intelligence in radiology: decision support systems.

Kahn Ce

130
Citations
Hepatic helical CT: contrast material injection protocol.

W D Foley;R G Hoffmann;F A Quiroz;C E Kahn

130
Citations
Common Data Elements in Radiology.

Daniel L. Rubin;Charles E. Kahn

107
Citations
DICOM and radiology: past, present, and future.

Charles E. Kahn;John A. Carrino;Michael J. Flynn;Donald J. Peck

106
Citations
Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings

Elizabeth S. Burnside;Jesse Davis;Jesse Davis;Jagpreet Chhatwal;Oguzhan Alagoz

106
Citations
GoldMiner: A Radiology Image Search Engine

Charles E. Kahn;Cheng Thao

104
Citations
Actionable Findings and the Role of IT Support: Report of the ACR Actionable Reporting Work Group

Paul A. Larson;Lincoln L. Berland;Brent Griffith;Charles E. Kahn

103
Citations
A logistic regression model based on the national mammography database format to aid breast cancer diagnosis

Jagpreet Chhatwal;Oguzhan Alagoz;Mary J. Lindstrom;Charles E. Kahn

102
Citations
Why Is the Electronic Health Record So Challenging for Research and Clinical Care

John H. Holmes;James Beinlich;Mary R. Boland;Kathryn H. Bowles

101
Citations
Overview of the CLEF 2010 medical image retrieval track

Henning Müller;Henning Müller;Jayashree Kalpathy-Cramer;Ivan Eggel;Steven Bedrick

99
Citations
From Images to Actions: Opportunities for Artificial Intelligence in Radiology.

Charles E Kahn

96
Citations
Overview of the ImageCLEFmed 2008 medical image retrieval task

Henning Müller;Jayashree Kalpathy-Cramer;Charles E. Kahn;William Hatt

88
Citations
How users search and what they search for in the medical domain

João Palotti;Allan Hanbury;Henning Müller;Charles E. Kahn

83
Citations
Health status assessment via the World Wide Web.

D. S. Bell;C. E. Kahn

69
Citations

Frequent Co-Authors

Henning Müller University of Applied Sciences and Arts Western Switzerland

Peter Haddawy Mahidol University

Daniel L. Rubin Stanford University

Jayashree Kalpathy-Cramer Harvard University

William R. Hersh Oregon Health & Science University

Maryellen L. Giger University of Chicago

Mitchell D. Schnall University of Pennsylvania

Ben Glocker Imperial College London

Lena Maier-Hein German Cancer Research Center

Ronald M. Summers National Institutes of Health

External Links

Personal website of Charles E. Kahn

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