Ranking & Metrics

Rank:

#3890

H Index:

12

SJR:

1,051

Ref Doc:

40,55

Quartile:

Q1

Coverage:

2019-2022

Total Refs:

1176

Journal Information

Journa Name:

Quantum Machine Intelligence

ISSN:

25244914, 25244906

Publisher:

Springer Science and Business Media Deutschland GmbH

Categories:

Applied Mathematics

Subject Area:

Computational Theory and Mathematics

Country:

Germany

Region:

Western Europe

Share this Journal:

Aims & Scope of the Journal

Quantum Machine Intelligence is a research journal that publishes research related to Computational Theory and Mathematics. This journal is published by the Springer Science and Business Media Deutschland GmbH. The ISSN of this journal is 25244914, 25244906. Based on the Scopus data, the SCImago Journal Rank (SJR) of Quantum Machine Intelligence is 1,051.
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 Quantum Machine Intelligence.
According to Clarivate's JCR, the journals indexed in SCIE/SSCI have an impact factor.

How to publish in Quantum Machine Intelligence

This journal covers the fields/ categories related to Computational Theory and Mathematics. If your research field is related to Computational Theory and Mathematics, then visit the official website of Quantum Machine Intelligence and send your manuscript.

Tips for publishing in Quantum Machine Intelligence:
  • - 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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