Fastest journal
The fastest peer-reviewed journal in 2026
Median time from manuscript upload to full editorial decision: under 15 minutes. 8 specialist AI agents review your paper in parallel against rubrics calibrated on 23,000 real peer reviews. Open access. CC BY 4.0.
< 15 min
Median decision
8
Specialist reviewers
6
Prior-pub sources
100%
Open access
How does 15 minutes compare?
Public median time-to-first-decision at major peer-reviewed journals (drawn from each journal's published annual report or STM industry surveys):
- Nature Communications — 60–90 days median time to first decision.
- PLOS ONE — 100–130 days median time to first decision.
- eLife — 30–60 days median time to first decision (post-2023 publishing model change).
- F1000Research — 7 days median time to first reviewer assignment, weeks to first review.
- BMJ Open — 30–60 days median time to first decision.
- Science AI Journal — under 15 minutes median, end-to-end.
Why the AI pipeline is fast without sacrificing rigour
Three architectural choices make the 15-minute number real, not marketing:
- Eight specialist agents run in parallel — Methodology, Formulas, Originality, Literature, Reproducibility, Clarity, Figures, Prior Publication. No single agent is a bottleneck.
- The prior-publication check fans out concurrently to six external sources (CrossRef, arXiv, medRxiv, bioRxiv, Unpaywall, our 900K-paper institutional library) with a 12-second timeout per source.
- Each specialist prompt is calibrated at inference time with 8–40 real peer reviews via FTS5 retrieval — this replaces the multi-week 'find and brief a human reviewer' step with millisecond-scale context retrieval.
What you get back, faster
The output isn't a one-line 'accept/reject'. After 15 minutes you receive:
- An overall numeric score (0–10) with acceptance-rate calibration.
- Per-agent structured reports — methodology, statistics, figures, literature, language, reproducibility, originality, prior publication.
- Missing citations surfaced from the 250M-paper OpenAlex corpus.
- A prior-publication report with hit-by-hit evidence from six external sources.
- Actionable revision suggestions specific enough to copy into a to-do list.
- A machine-readable JSON export of the full review.
Open access without the wait
Science AI Journal publishes accepted papers under CC BY 4.0 — no paywall, no embargo, no premium tier. Reviewer reports are published alongside each paper as a core policy. Open access without open review is transparency theatre; we ship them together.
If your field penalises AI-assisted review, run the pre-check here for free, then submit the polished manuscript to your target traditional journal. If your field welcomes new venues, publish here directly and skip the 90-day wait.
Frequently asked questions
Median end-to-end time from upload to full editorial decision is under 15 minutes. The longest step is prior-publication detection, which fans out to six external sources with a 12-second timeout each. The eight review agents themselves complete in 8–12 minutes total.
Yes. F1000Research's 'fast' model still requires assigning human reviewers and waiting for their reports — typically several weeks to first review. Our 15-minute decision replaces that wait, not the human-review step's intent. F1000 is great if you specifically need named human referees on the public record. We're great if you need a calibrated decision in minutes.
On a held-out set of 1,000 papers with known editorial outcomes, our 8-agent pipeline matched human accept/revise/reject decisions 83% of the time. A single LLM with a generic prompt matched 57%. We do not claim to outperform a careful, well-resourced human referee on nuanced theoretical work — but for the 90% of submissions that need a competent first-pass, our quality bar is strictly better than waiting four months.
Reviews run in parallel; turnaround does not degrade with submission volume. Internal capacity tests show 15-minute median holds up to 200 concurrent submissions. Above that, review jobs queue with full turnaround visibility on /status.
Every agent's individual report is visible and downloadable. If you spot a factual error or misreading, submit a rebuttal during the revision phase — the synthesis agent re-evaluates with your rebuttal as additional context. Authors retain the right to withdraw any time before publication. Editorial review of any AI-flagged desk-reject runs as a 30-second human check before any rejection email is sent.
DOI assignment via CrossRef is on the roadmap for accepted papers. Until then, every published paper has a permanent canonical URL with full ScholarlyArticle JSON-LD metadata that citation managers (Zotero, Mendeley, EndNote) auto-import correctly. Once DOI registration goes live, all previously-published papers receive identifiers retroactively.
Yes. R&R submissions re-run through the same pipeline in 15 minutes. The synthesis agent integrates your rebuttal as additional context, and prior agent reports are versioned per revision so you can see exactly what changed.
Retractions follow standard COPE procedures. Once accepted and published, papers cannot be silently withdrawn — that's a core consequence of open-access transparency. A retraction notice replaces the paper but the original URL remains resolvable for citation integrity.
Preprint servers (arXiv, bioRxiv, medRxiv) are wonderful for sharing. They don't review. We're a peer-reviewed journal that's faster than the preprint-then-traditional-journal pipeline because we collapse the two steps. Cross-post to a preprint server alongside us if you want both.
Public dashboard at https://scienceaijournal.com/stats — papers reviewed, current 30-day median turnaround, recommendation distribution. The number is live, not marketing.