Radiology-Artificial Intelligence

metrics 2024

Unleashing the Power of AI in Radiological Practices

Introduction

Radiology-Artificial Intelligence is an esteemed journal published by the Radiological Society of North America (RSNA), focusing on the intersection of radiology and artificial intelligence. Since its inception in 2019, this journal has rapidly established itself within the academic community, achieving a remarkable Q1 classification in 2023 across multiple categories, including Artificial Intelligence, Radiological and Ultrasound Technology, and Radiology, Nuclear Medicine and Imaging. With an impressive impact factor reflected by its high Scopus rankings—6th in the realm of Radiology, 3rd in Radiological Technology, and 25th in Computer Science—this journal stands as a crucial platform for groundbreaking research and innovation. Researchers, professionals, and students alike will find this publication an invaluable resource for advancing their understanding of AI applications in radiology, enhancing diagnostic capabilities, and improving patient care. The journal operates on a non-open access model, ensuring high-quality peer-reviewed content. Located in Oak Brook, Illinois, the RSNA continues to lead the field by promoting excellence in the integration of artificial intelligence into medical imaging practices.

Metrics 2024

SCIMAGO Journal Rank2.60
Journal Impact Factor8.10
Journal Impact Factor (5 years)10.80
H-Index35
Journal IF Without Self8.10
Eigen Factor0.01
Normal Eigen Factor1.19
Influence3.45
Immediacy Index2.60
Cited Half Life3.00
Citing Half Life4.60
JCI1.85
Total Documents308
WOS Total Citations2163
SCIMAGO Total Citations4147
SCIMAGO SELF Citations140
Scopus Journal Rank2.60
Cites / Document (2 Years)7.21
Cites / Document (3 Years)8.34
Cites / Document (4 Years)8.62

Metrics History

Rank 2024

Scopus

Radiology, Nuclear Medicine and Imaging in Medicine
Rank #6/333
Percentile 98.20
Quartile Q1
Radiological and Ultrasound Technology in Health Professions
Rank #3/63
Percentile 95.24
Quartile Q1
Artificial Intelligence in Computer Science
Rank #25/350
Percentile 92.86
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 21/197
Percentile 89.60
Quartile Q1
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Rank 9/204
Percentile 95.80
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 20/198
Percentile 89.90
Quartile Q1
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Rank 12/204
Percentile 94.12
Quartile Q1

Quartile History

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