Radiology: Artificial Intelligence impact factor, indexing, ranking (2024)


Radiology:

Aim and Scope

The Radiology: Artificial Intelligence is a research journal that publishes research related to Computer Science; Health Professions; Medicine. This journal is published by the Radiological Society of North America Inc.. The ISSN of this journal is 26386100. Based on the Scopus data, the SCImago Journal Rank (SJR) of Radiology: Artificial Intelligence is 2.432.

Also, please check the following important details about Radiology: Artificial Intelligence: Publisher, ISSN, Ranking, Indexing, Impact Factor (if applicable), Publication fee (APC), Review Time, and Acceptance Rate.

According to Clarivate's JCR, journals indexed in SCIE/SSCI have an impact factor.

Radiology: Artificial Intelligence Ranking

Journal Rank: 941
SJR (SCImago Journal Rank): 2.432
Quartile: Q1
H-Index: 26

The SJR (SCImago Journal Rank) measures citations weighted by prestige. It is useful for comparing journals within the same field, and forms the basis of the subject category ranking. A journal SJR indicator is a numeric value representing the average number of weighted citations received during a selected year per document published in that journal during the previous three years, as indexed by Scopus. Higher SJR indicator values are meant to indicate greater journal prestige. SJR is developed by the Scimago Lab, originated from a research group at University of Granada. Q1 journals are cited more often and by more prestigious journals than those in the other quartiles.

Each subject category of journals is divided into four quartiles: Q1, Q2, Q3, Q4. Q1 is occupied by the top 25% of journals in the list; Q2 is occupied by journals in the 25 to 50% group; Q3 is occupied by journals in the 50 to 75% group and Q4 is occupied by journals in the 75 to 100% group.

CiteScore of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. This journal evaluation metric was launched in December 2016 by Elsevier as an alternative to the generally used JCR impact factors (calculated by Clarivate). CiteScore is based on the citations recorded in the Scopus database rather than in JCR, and those citations are collected for articles published in the preceding four years instead of two or five.

Source Normalized Impact per Paper (SNIP) is calculated annually from Scopus data. It is a sophisticated metric that intrinsically accounts for field-specific differences in citation practices.



Important Metrics

Journal Title: Radiology: Artificial Intelligence
Publisher: Radiological Society of North America Inc.
ISSN: 26386100
Type: journal
Journal Scope: Computer Science; Health Professions; Medicine
Country: United States
H-Index: 26
SJR: 2.432
Quartile: Artificial Intelligence (Q1); Radiological and Ultrasound Technology (Q1); Radiology, Nuclear Medicine and Imaging (Q1)

Radiology: Artificial Intelligence Indexing

The Radiology: Artificial Intelligence is indexed in:

An indexed journal means that the journal has gone through and passed a review process of certain requirements done by a journal indexer.

The Web of Science Core Collection includes the Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (AHCI), and Emerging Sources Citation Index (ESCI).


Radiology: Artificial Intelligence Quartile

The latest Quartile of Radiology: Artificial Intelligence is Q1.

Each subject category of journals is divided into four quartiles: Q1, Q2, Q3, Q4. Q1 is occupied by the top 25% of journals in the list; Q2 is occupied by journals in the 25 to 50% group; Q3 is occupied by journals in the 50 to 75% group and Q4 is occupied by journals in the 75 to 100% group.



Call for Papers

Visit to the official website of the journal/ conference to check the details about call for papers.

How to publish in Radiology: Artificial Intelligence?

If your research is related to Computer Science; Health Professions; Medicine, then visit the official website of Radiology: Artificial Intelligence and send your manuscript.

Tips for publishing in Radiology: Artificial Intelligence:

Acceptance Rate

Acceptance rate is the ratio of the number of articles submitted to the number of articles published. Researchers can check the acceptance rate on the journal website. Alternatively, they can contact the editor of the journal.

Journal Publication Time

The publication time may vary depending on factors such as the complexity of the research and the current workload of the editorial team. Journals typically request reviewers to submit their reviews within 3-4 weeks. However, some journals lack mechanisms to enforce this deadline, making it difficult to predict the duration of the peer review process.

The review time also depends upon the quality of the research paper.


Final Summary

  • It is published by Radiological Society of North America Inc..
  • The journal is indexed in UGC CARE, Scopus, PubMed.
  • The (SJR) SCImago Journal Rank is 2.432.

Sources: Radiology: Artificial Intelligence







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Credit and Source: Scopus, Clarivate, UGC CARE.