Radiology Artificial Intelligence Impact Factor, Quartile, Indexing, Ranking

Radiology Artificial Intelligence Impact Factor, Indexing, Ranking

Radiology Artificial Intelligence (RAI) is a scholarly journal dedicated to publishing research in the field of Medicine, and Published by Radiological Society of North America. and its abbreviation is Radiol Artif Intell.

The latest Impact Factor of the Radiology Artificial Intelligence for 2024-2025 is 9.8.

The Publicaiton fees (APC) is USD $3500.


Radiology Artificial Intelligence Aim and Scope

Radiology: Artificial Intelligence highlights the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines. Radiology: Artificial Intelligence provides readers across multiple disciplines, including medicine and computer science, the applications of AI, machine learning and data science in the field of imaging.

Radiology: Artificial Intelligence is published, managed, and owned by the Radiological Society of North America (RSNA) and is published bi-monthly and available online. RSNA adheres to ICMJE’s policies on editorial freedom and does not interfere in the evaluation, selection, scheduling, or editing of individual articles either directly or by creating an environment that strongly influences decisions.


Radiology Artificial Intelligence Details


Journal title Radiology Artificial Intelligence (RAI)
Abbreviation Radiol Artif Intell
Online ISSN 2638-6100
Publisher Name Radiological Society of North America
Editor-in-chief Charles E. Kahn, Jr
Subject Category Medicine
Access type Hybrid
Status 🟢 Active

Radiology Artificial Intelligence Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Radiology Artificial Intelligence

Impact Factor 9.8
SJR 2.432
SNIP 2.454
Ranking 872
CiteScore 12.4
H-Index 26
Quartile Q1
Radiology Artificial Intelligence Impact Factor List

Radiology Artificial Intelligence Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

Radiology Artificial Intelligence Submission

If you would like to submit a manuscript or visit the journal's website, please click on the link below.

Journal Submission 🔗 Journal Website

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