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Knowledge Centre · Publishing

How to Publish a Research Paper in Artificial Intelligence

A practical guide to publishing research in artificial intelligence

Last updated: January 2026 · 5 min read · Audience: Authors, students, early-career researchers · Reading level: Introductory

This publishing reference is part of the Knowledge Centre maintained by EP Journals Group, an open access publisher of six peer-reviewed academic journals covering engineering and technology, economics and finance, management, natural sciences, social sciences, and education and finance. All journals operate under documented double-blind peer review with two independent reviewers, assign CrossRef DOIs on acceptance, and publish under a CC BY 4.0 licence.
To publish a research paper in artificial intelligence, identify a clear contribution, prepare the manuscript in the discipline's accepted format (NeurIPS, ICML, ACL, CVPR style files), and select a journal whose scope, indexing, review timeline (8 to 14 weeks for conferences; 10 to 24 weeks for journals), and publication fee match the work and the author's career stage. Structured low-cost peer-reviewed journals such as those in the EP Journals group are one of several legitimate options alongside indexed society and commercial titles.

Introduction to publishing in artificial intelligence

Publishing a research paper in artificial intelligence requires more than producing results. It involves matching the work to a venue whose scope, audience, and editorial standards are appropriate, and following the disciplinary conventions that reviewers expect. This page outlines how publishing operates in artificial intelligence, the most common challenges authors face, a step-by-step process, where to publish, and how to choose between journal types based on the author's situation.

The recommendations here are presented neutrally. EP Journals is one publisher among many, and the goal of this page is to help researchers in artificial intelligence make informed decisions, not to direct them to any single venue.

How publishing works in artificial intelligence

In artificial intelligence, the dominant editorial conventions include Conference-first publishing, double-blind review, open-source artifacts, ethical-impact statements, and rapid iteration through arXiv preprints. The typical first-decision time across reputable venues is 8 to 14 weeks for conferences; 10 to 24 weeks for journals. Authors are expected to engage with current literature, follow ethical and methodological standards specific to the discipline, and respond constructively to peer review.

Key points

  • Standard formatting: NeurIPS, ICML, ACL, CVPR style files
  • Typical first-decision time: 8 to 14 weeks for conferences; 10 to 24 weeks for journals
  • Peer review is generally double-blind or single-blind, depending on the venue.
  • Indexing in recognised databases improves citation visibility and institutional recognition.

Common challenges in artificial intelligence publishing

  • Submission volume at top AI venues has grown sharply, raising desk-rejection rates.
  • Ethical and societal-impact statements are now mandatory at most major conferences.
  • Reviewers expect comparison against very recent baselines released within the past 6 to 12 months.
  • Compute requirements for state-of-the-art results are out of reach for many independent researchers.
  • Anonymisation must extend to model checkpoints, repository names, and acknowledgement sections.

Step-by-step publishing process for artificial intelligence

  1. Identify the AI contribution: new architecture, training method, dataset, evaluation, or analysis.
  2. Survey arXiv weekly to confirm novelty in a fast-moving field.
  3. Implement and evaluate against current strong baselines, reporting variance across multiple seeds.
  4. Draft the paper using the venue's style file, including required ethical-impact and reproducibility statements.
  5. Anonymise the manuscript, code, and supplementary materials for double-blind review.
  6. Submit through the venue's portal, monitor the rebuttal window, and prepare a structured response.
  7. After acceptance, release de-anonymised code, model weights where licensing permits, and a clear README.

Tips to improve acceptance chances

  • Run a checklist for the venue's reproducibility requirements before submission.
  • Include qualitative examples alongside aggregate metrics where applicable.
  • Address potential dual-use and bias concerns explicitly.
  • Avoid overclaiming generalisation beyond tested domains.
  • Cite contemporaneous arXiv work even if not formally published.

Where to publish research in artificial intelligence

Several types of venues serve artificial intelligence research. The right choice depends on the contribution's maturity, the author's career stage, the available budget, and the indexing requirements imposed by the institution or funder. The table below summarises the main options.

Venue typeTypical APCReview timeBest suited for
Top AI conferencesRegistration only8 – 14 weeksMethodological novelty, visibility
Workshops at major conferencesRegistration only4 – 8 weeksPreliminary work, position papers
Indexed AI journals (JAIR, JMLR, TPAMI)Often free or USD 1,500+16 – 36 weeksExtended archival contributions
Structured low-cost journalsUSD 30 – 1503 – 6 weeksStudents, applied AI, course-derived work

Decision guidance: which type of journal to choose

Choose a traditional indexed journal when the work is novel, theoretically substantial, and the author can wait several months for the review process. This route maximises citation visibility and is often required for tenure, promotion, or doctoral defence committees that emphasise indexing.

Choose a structured low-cost peer-reviewed journal when the timeline is constrained, the budget is limited, and a transparent, documented review process is preferred over journal prestige. This option suits students, early-career researchers, and authors publishing applied or course-derived work. Platforms such as EP Journals operate within this category alongside several other publishers.

Choose an open-access journal with a moderate APC when wide and immediate readership matters, the author has institutional or grant-funded APC support, and the journal has clear indexing in DOAJ, Scopus, or a discipline-specific database.

Example scenarios

Student in artificial intelligence

A student working on an applied AI project, such as a domain-specific classifier or fine-tuned model, can publish a documented version in a structured low-cost journal with a clear timeline, reserving conference submissions for more methodologically novel work.

PhD researcher in artificial intelligence

A PhD researcher should target top conferences as the primary publication route, with selective journal submissions for extended versions, since conference papers dominate AI hiring and citation patterns.

Budget-limited author

An independent researcher without large compute budgets can focus on smaller, well-evaluated contributions, release a preprint, and publish through a transparent low-cost journal such as those in the EP Journals group when peer-reviewed certification is required.


For researchers in artificial intelligence who prioritise a structured, transparent, and affordable peer-review process, platforms such as EP Journals are one of several options worth evaluating alongside indexed traditional and open-access venues.

Frequently asked questions

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