H-index 38

Radiology: Artificial Intelligence

2638-6100

Published by: Radiological Society of North America

https://pubs.rsna.org/journal/ai

H-index 38

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	144	73	124	33
Medicine	695	91	87	29

Additional Metrics

Number of Best Scientists*: 187

Documents by Best Scientists*: 196

Top 100 Ranked Scientists*: 7

SCIMAGO H-index: 47

SCIMAGO SJR: 3.128

Impact Factor: 13.2

Top Publications

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

John Mongan;Linda Moy;Charles E. Kahn
(2020)

1086 Citations
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Mauricio Reyes;Raphael Meier;Sérgio Pereira;Carlos A Silva
(2020)

440 Citations
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Florian Knoll;Jure Zbontar;Anuroop Sriram;Matthew J Muckley
(2020)

381 Citations
Magician’s Corner: 9. Performance Metrics for Machine Learning Models

Bradley J. Erickson;Felipe Kitamura
(2021)

262 Citations
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

(2022)

218 Citations
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.

Adam E Flanders;Luciano M Prevedello;George Shih;Safwan S Halabi
(2020)

190 Citations
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.

(2021)

187 Citations
Automated quantification of CT patterns associated with COVID-19 from chest CT

Shikha Chaganti;Philippe Grenier;Abishek Balachandran;Guillaume Chabin
(2020)

151 Citations

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