CALL FOR PAPERS
NextGen Journal - Artificial Intelligence
Few fields move as fast as artificial intelligence. Methods that were research prototypes a few years ago now run inside products used by millions, and questions that once belonged to science fiction are now serious topics of technical debate. The NextGen Journal - Artificial Intelligence is a place to publish and read the research behind that progress. The journal covers the full range of the field. Artificial intelligence provides the foundation: reasoning, planning, perception, and the systems that combine them. Machine learning covers the algorithms, theory, and training methods that let systems learn from data. Generative AI covers models that produce text, images, code, and more, along with the questions of quality, safety, and evaluation they raise. Artificial general intelligence covers the longer-term research on systems with broad, flexible capabilities, including how such systems might be built, measured, and governed responsibly. We welcome original research, rigorous reviews, benchmark and evaluation studies, and applied work from academia and industry. In a field with this much hype, we place particular value on careful methods, reproducible results, and honest accounts of what a system can and cannot do. As a publication for advanced intelligence, the journal aims to give researchers a trusted venue for their work and to give readers a clear, grounded view of where the field stands.
In press
Papers accepted, awaiting their issue
Nothing from NextGen Journal - Artificial Intelligence is in press right now. When a paper clears peer review and is waiting for the next issue, it will be listed here first — with its title and authors — ahead of the issue itself.
Call for a special issue
Within the scope of the journal
Alongside its regular quarterly issues, each of the press's five journals will publish a special issue. The theme is the journal's own scope: any paper the journal already welcomes is welcome to the special issue. Special-issue papers go through the same screening and peer review as every other submission, and publication remains free of cost.
- Theme
- Machine Learning, Deep Learning, and Artificial General Intelligence
Author guidelines
Before you send your paper
- What we publish
- Original research, rigorous reviews, benchmark and evaluation studies, and applied work
- Screening
- Every submission is screened for similarity before it goes out for review.
- Review
- Every submission is peer-reviewed before acceptance. Accepted work is scheduled into the issue as it clears review.
- First decision
- You hear the outcome of the first round within four weeks of submitting.
- Frequency
- The journal is published quarterly.
- Deadline
- Submissions for Volume 1, Issue 1 close on 26 March 2027.
- Cost
- Publication is free of cost. There is no submission charge and no article processing fee.
- Rights & licence
- Authors retain copyright in their work. The press's copyright form grants the press a licence to publish and distribute the paper, and the published paper is released open access under CC BY 4.0, so anyone may read and share it with credit to the author.
- Language
- Manuscripts are considered in English. Please include a title, an abstract, keywords, and the full text.
- Editor-in-Chief
- Prof. Ben Clements, University of Leicester, England, United Kingdom.
- How to submit
- Send your manuscript through the press's submission form and name this journal in it. You will hear from the editorial desk once your submission has been read.
Author documents
Copyright Form
The journal's author agreement, completed and returned with the manuscript.
Download ↓Registration Form
Author, reviewer, or editorial details, completed at registration.
Download ↓DOCX
Article Template
The journal's editable manuscript format and style guidance.
Download ↓