Ranking & Metrics

Rank:

#38

H Index:

36

SJR:

13,775

Ref Doc:

86,50

Quartile:

Q1

Coverage:

2008-2022

Total Refs:

173

Journal Information

Journa Name:

Foundations and Trends in Machine Learning

ISSN:

19358245, 19358237

Publisher:

Now Publishers Inc

Categories:

Artificial Intelligence

Subject Area:

Human-Computer Interaction

Country:

United States

Region:

Northern America

Share this Journal:

Aims & Scope of the Journal

Foundations and Trends in Machine Learning is a research journal that publishes research related to Human-Computer Interaction. This journal is published by the Now Publishers Inc. The ISSN of this journal is 19358245, 19358237. Based on the Scopus data, the SCImago Journal Rank (SJR) of Foundations and Trends in Machine Learning is 13,775.
Also, check the other important details below like Publisher, ISSN, Ranking, Indexing, Impact Factor (if applicable), Publication fee (APC), Review Time, and Acceptance Rate of Foundations and Trends in Machine Learning.
According to Clarivate's JCR, the journals indexed in SCIE/SSCI have an impact factor.

How to publish in Foundations and Trends in Machine Learning

This journal covers the fields/ categories related to Human-Computer Interaction. If your research field is related to Human-Computer Interaction, then visit the official website of Foundations and Trends in Machine Learning and send your manuscript.

Tips for publishing in Foundations and Trends in Machine Learning:
  • - Selection of research problem.
  • - Presenting a solution.
  • - Designing the paper.
  • - Make your manuscript publication worthy.
  • - Write an effective results section.
  • - Mind your references.

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. Even you can Contact the editor of the journal.

Journal Publication Time

Journals usually ask reviewers to provide their reviews within 3-4 weeks. However, few journals have a mechanism to enforce the deadline, which is why it can be hard to predict how long the peer review process will take.
The review time also depends upon the quality of a research paper.

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