As part of its commitment to transparency, JAIAS regularly publishes detailed metrics on its submission and review process. This approach provides prospective authors with useful insights and helps ensure accountability within the editorial team and reviewer network.
Submission evaluation statistics are based on data from 2024-03-15 to 2025-03-14, with the latest update released on 2025-06-15. To minimize distortion from ongoing evaluations, the statistics do not cover the most recent 90 days before the release date.
For example, a submission received on 15 March 2024 would, on average, have been accepted by 22 July 2024 with a 26.3% probability, provided it was not summarily rejected by 5 April 2024.
If a submission was rejected with encouragement to resubmit, and the revised version was resubmitted six weeks later (e.g., by 17 August 2024), it would have been accepted by 25 December 2024 with a 58.4% probability.
Overall, this results in an acceptance probability of 13.9% (or 50.4% if not summarily rejected) and an expected time to acceptance of 40.0 weeks (less than 10 calendar months), possibly after one revision.
The times mentioned above are averages. The peer-review process can vary significantly depending on factors such as:
Length and quality of the submission
Workload and availability of Associate Editors and reviewers with relevant expertise
Specialized subject areas with a limited pool of expert reviewers
Conference seasons, such as AAAI, IJCAI, ICML, and NeurIPS, when many reviewers are heavily engaged
Longer or highly specialized submissions may take more time to evaluate.
A significant number of first-time submissions are summarily rejected by the Editor-in-Chief, Associate Editor-in-Chief, or an Associate Editor when they fall outside the journal’s scope, as defined in the JAIAS Editorial Charter. Papers may be rejected without peer review if they:
Lack research contributions of importance to the AI and autonomous systems community
Do not meet technical submission requirements
Focus on applications of AI without providing methodological advances or insights relevant to AI research (this may vary for special tracks)
As a top-tier journal, JAIAS is highly selective. Papers rejected from conferences are often summarily rejected, unless they have undergone substantial improvements in quality and scope. Similarly, thesis chapters are generally unsuitable unless they are significantly rewritten and provide novel insights or contributions beyond a literature review.
Authors unfamiliar with JAIAS standards are encouraged to read published articles to understand the expected level of contribution and rigor.
JAIAS does not accept major revisions. Instead, if a paper shows promise but requires significant changes, it will be rejected with encouragement to resubmit. Resubmitted papers are, whenever possible, assigned to the same Associate Editor and reviewers to ensure consistency and prevent shifting expectations.
Resubmissions tend to be processed faster and have a higher acceptance probability than first-time submissions.
Once a paper is accepted, it moves quickly to publication, unless delays occur due to author responses to editorial and technical requests during the production process.