Nature Machine Intelligence's 2026 Journal Metrics Score is 21.1, ranking Q1 in Materials Chemistry and 3 other subfields. Two-year citation average from OpenAlex data, updated August 2026.
Bookmark this page — track observed submission-to-acceptance timing, FWCI and field-normalized citation data for this journal in one view.
Journal Metrics Score 2026 · 2021–2024 window citedness 22.55.
Middle 50%: 203–291 days
36 of 51 PubMed-indexed articles · 70.6% coverage · 2024–2025
Nature Machine Intelligence accepts papers a median of 255 days after submission, including peer review and revisions. That is slower than 93% of comparable journals with PubMed timing data.
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Each spoke is a 0–100 percentile within a comparable journal cohort—not a percentage grade or a single black-box rating.
438 of 683 works · same type, year & subfield
168 works · same type, year & subfield
Above field-year expectation
of 555 topic-associated OpenAlex sources by lifetime output
FWCI compares papers with the same publication year, type, and field. 1.0 is the world average; above 1.0 is above expectation. This journal's median is 4.77, so its typical recent paper runs about 377% above its field benchmark.
64.1% of recent papers rank in the global top 10% after field normalization. This is easier to compare across specialties than raw citation totals.
Volume is separated from citation accumulation so newer papers are not presented as weaker simply because they are newer.
OpenAlex source records · 2018–2025
683 OpenAlex works · 2021–2024
OpenAlex topics show the research communities this journal serves.
Candidates share at least one OpenAlex subfield (or field, if too few do) with this journal's main research topics, ignoring generic catch-all topics, and are ordered by topic overlap, then current Journal Metrics Score.
* Cost is indicative only. APCs, taxes, waivers, and member discounts can change—always verify on the journal's official website.
| Category | Quartile |
|---|---|
| Materials Chemistry | Q1 |
| Computational Theory and Mathematics | Q1 |
| Health Informatics | Q1 |
| Safety Research | Q1 |
Yes. One of the most-cited journals in Medicine
Yes. By citation data, Nature Machine Intelligence is one of the most-cited journals in Medicine: it ranks #20 of 6,272 Medicine journals by Journal Metrics Score (top 1%) and is Q1 in Materials Chemistry and 3 other subfields. Nature Machine Intelligence's 2026 Journal Metrics Score is 21.1. Recent papers took a median of 255 days from submission to acceptance, according to PubMed dates. OpenAlex lists an indicative article processing charge of $11,690 USD. OpenAlex classifies its papers in subfields including Materials Chemistry, Computational Theory and Mathematics, and Health Informatics, so check that your topic fits its scope.
Verdict from citation data only: quartile and field rank by Journal Metrics Score (OpenAlex), publisher-reported acceptance rates, and PubMed submission and acceptance dates. See how we rank journals and how to verify indexing.
Confirm the exact title and ISSNs against the publisher homepage before a high-stakes submission decision.
2026 Journal Metrics Scores for 13 of 59 Nature journals published by Nature Portfolio, highest score first. Each journal is scored separately; there is no combined score for the Nature family.
Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.
OpenAlex classifies Nature Machine Intelligence's papers in subfields including Materials Chemistry, Computational Theory and Mathematics, and Health Informatics. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
Article types, word and figure limits, reference style, and the required statements (data availability, ethics, conflicts of interest, author contributions) are set by the journal. Prepare the cover letter and files to match them.
Nature Machine Intelligence homepage ↗Use the submit link in Nature Machine Intelligence's author guidelines; Nature Portfolio runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
OpenAlex lists an indicative article processing charge of $11,690 USD. Check the current fee, waivers, and any institutional agreement on the journal website.
Recent accepted papers took a median of 255 days from submission to acceptance, including revisions (PubMed dates). Nature Machine Intelligence does not publish an acceptance rate.
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See what the report coversYes. By citation data, Nature Machine Intelligence is one of the most-cited journals in Medicine: it ranks #20 of 6,272 Medicine journals by Journal Metrics Score (top 1%) and is Q1 in Materials Chemistry and 3 other subfields. Nature Machine Intelligence's 2026 Journal Metrics Score is 21.1. Recent papers took a median of 255 days from submission to acceptance, according to PubMed dates. OpenAlex lists an indicative article processing charge of $11,690 USD. OpenAlex classifies its papers in subfields including Materials Chemistry, Computational Theory and Mathematics, and Health Informatics, so check that your topic fits its scope.
Nature Machine Intelligence's 2026 Journal Metrics Score is 21.1, from the August 2026 data release. The score is a two-year citation average computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works.
We have not found an official acceptance rate published by Nature Machine Intelligence or its publisher, and Journal Metrics does not estimate one because submission counts are not public. What recent PubMed records do show is speed: accepted papers took a median of 255 days from submission to acceptance. To judge selectivity, compare Nature Machine Intelligence's quartile and score with similar journals, or ask the editorial office.
Nature Machine Intelligence's best quartile is Q1. By OpenAlex subfield: Q1 in Materials Chemistry; Q1 in Computational Theory and Mathematics; Q1 in Health Informatics; Q1 in Safety Research. Quartiles rank journals by Journal Metrics Score within each subfield.
No. Journal Metrics computes the score independently from OpenAlex open data. Other providers use different citation databases, document types, and counting rules, so their published figures for Nature Machine Intelligence will not match this score exactly. Compare journals using one source at a time.
Nature Machine Intelligence accepts papers a median of 255 days after submission across 36 recent PubMed records with both dates; the middle half took 203–291 days. This includes peer review, editorial handling, and revisions.
PubMed records when a manuscript was received and accepted, not the individual review stages, so peer review time on its own is not available. The full time from submission to acceptance at Nature Machine Intelligence, which includes peer review and revisions, has a median of 255 days. For the time to a first decision, check the journal's own website.
Nature Machine Intelligence's median of 255 days from submission to acceptance is slower than 93% of comparable journals with PubMed timing data.
OpenAlex lists an indicative article processing charge of $11,690 USD for Nature Machine Intelligence. This journal-level estimate may exclude taxes, waivers, discounts, or article-type fees, so confirm the current charge on the journal's website.
Comparable journals include Patterns, Nature Computational Science, Frontiers in Artificial Intelligence, and Health Data Science. Compare their scores, acceptance times, and costs in the recommended alternatives on this page before choosing where to submit.
Submit online through the link in Nature Machine Intelligence's author guidelines on the journal homepage. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter. Accepted papers took a median of 255 days from submission to acceptance in recent PubMed records.