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Topics of content
  • AI Journals: Classification
  • Top 5 ways to select a journal for your research paper in AI
  • How to Validate an AI Journal’s Reputation
  • Top Journals in AI: A Quick Overview
  • Preparing a checklist for the selected journals
  • Conclusion
  • Frequently Asked Questions

AI Journals: Classification

There is a wide range of differences when it comes to the occurrence of AI knowledge over the decades. This happened because of the evolving technologies related to AI,and so journal publications are becoming important for disseminating AI knowledge among research scholars.

Research manuscript preparation and journal submission play a key role in publishing scholarly work in this domain. This blog post focuses on artificial intelligence journal categorization, submission requirements, and the top AI journals, including artificial intelligence journals.

Indexing-based AI journals

These are classified according to their inclusion in databases such as Scopus and Web of Science. These higher-indexed journals are to be trusted more and will guarantee greater exposure.

Article visibility-based AI journals

These unrestricted journals are separated into three groups: open access (paid by authors and free to viewers), subscription-based (set fee to be obtained), and hybrid (combines these two types). Some scholars prefer AI Open Journal options for the purpose of getting higher reach.

Number of Issues-based AI Journals

These are classified based on the frequency of publication, such as Monthly, Quarterly, or Annual.

Top 5 ways to select a journal for your research paper in AI

  • Check whether the journal is indexed in reputed databases like Scopus or Web of Science. A higher impact factor points to greater dependability.
  • Don’t forget to check the journal’s main domain and make sure that it is aligned with your research domain. Always choose a topic that is closely related to your literature review of artificial intelligence and literature review AI in your manuscript.
  • Make a decision on choosing open-access journals or subscription-based journals that come with a package of peer review process, especially while working on an artificial intelligence journal.
  • Check the acceptance rate and publication timeline, as it helps you to better understand the journals, especially if the scholar searches for timely research topics in AI.
  • Reputable journals have experienced editors, there are some journals like IEEE Transactions on AI and Artificial Intelligence Journal (Elsevier), which is famous for high-quality publications.

How to Validate an AI Journal’s Reputation

  • Look for its impact factors and journal ranking according to citation analysis through Journal Citation Reports
  • Scimago Journal Rank is available to estimate the scientific impact of research journals based on citations.
  • The Directory of Open Access Journals lists quality open-access journals that are transparent and peer-reviewed.
  • Publons and Web of Science support scholars in determining journal credibility by making use of editorial board information and citation influence.
  • Make think, check, and submit a checklist to confirm if a journal is genuine before submitting the research paper, particularly while choosing an AI Review Journal or any artificial intelligence journal.

Top Journals in Machine Learning: A Quick Overview

Journal Name WOS Impact factor WOS Q factor SNIP Scopus Quartile (Q factor) Publisher
Applied Artificial Intelligence 2.9 Q2 0.989 Q3 Taylor & Francis
Artificial Intelligence Review 10.7 Q1 5.068 Q1 Springer - Verlag
Journal of Artificial Intelligence Research 4.5 Q2 2.837 Q1 AI Access Foundation
International Journal of Pattern Recognition and Artificial Intelligence 0.9 Q4 0.454 Q3 World Scientific
IEEE Transactions on Artificial Intelligence - - 2.008 Q1 IEEE
Journal of Artificial Intelligence and Technology - - 2.133 Q2 Intelligence Science and Technology Press Inc

Preparing a checklist for the selected journals

Before you send your journal for submission, it’s a good idea for scholars to put together a checklist. This should include verifying whether the journal is listed in Scopus or or WOS databases.

Sometimes the scholar might be perplexed in examining the journal's scope and determining whether research manuscripts get accepted by the journal. Scholars need to be aware of the journal submission policies and stay away from dubious or unethical journals. Instead, check the literature reviews on artificial intelligence or related subjects because they can improve your work's scholarly value.

Conclusion

As a research scholar, if you need to reach the right audience, make the right decision in choosing a suitable artificial intelligence journal. By looking into journal indexing,domain alignment, payment options, and peer review processes, scholars can make well-informed choices. Consulting databases like Scopus for AI journals and reputable platforms such as WOS helps research scholars in increasing visibility.


FAQs

The acceptance rates of leading AI journals differ, but here are some approximations:
  • Journal of Machine Learning Research (JMLR): ~20-25%
  • Artificial Intelligence (Elsevier): ~15-20%
  • Neural Networks (Elsevier): ~20-25%
  • AI Journal (AIJ, Elsevier): ~10-15%
  • Transactions on Machine Learning Research (TMLR): ~30-35%
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS): ~10-15%

These rates fluctuate based on submission volume and quality. Top AI conferences like NeurIPS, ICML, and ICLR have lower acceptance rates (~20-25%).

The review duration for AI journals depends on the journal;s prestige and evaluation procedure.Top-tier journals like NeurIPS, CVPR, and ICML (conference-style) have strict deadlines and may take 3–6 months, while prestigious journals like IEEE TPAMI, JMLR, and AI Journal may take 6–12 months or longer. Mid-level and open-access AI journals typically finalize reviews within 3 to 6 months. The review duration depends on factors such as reviewer availability, editorial workload, and the complexity of the manuscript.

Elsevier Journal Finder, Springer Journal Suggester, or Scimago are the best tools to select the journals.

​The impact factor is a metric reflecting the yearly average number of citations to recent articles published in a journal. In the field of Artificial Intelligence (AI), several journals are recognized for their high impact factors, indicating their influence and prominence in disseminating AI research.

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