Journal profile · Multiple
Nature Machine Intelligence
ISSN 2522-5839 · SPRINGERNATURE · ENGLAND · 12 issues per year
Nature Machine Intelligence: CAS Zone 1 · Computer Science (2025 upgraded edition, Top journal); impact factor 29.64; hybrid open access; APC about USD 12,690; median 239 days to acceptance (74 articles, last 24 months); 208 articles in 2025; indexed in SCIE and Scopus.
Scope
Aims, scope and focus
Nature Machine Intelligence is published by SPRINGERNATURE and is in Zone 1 of Computer Science in the CAS Journal Ranking (2025 upgraded edition, Top journal). By OpenAlex counts of its recent articles, its largest topics are Machine Learning in Materials Science, Computational Drug Discovery Methods and Artificial Intelligence in Healthcare and Education, together about 25.7% of its articles. (generated from OpenAlex topic counts and CAS ranking data)
Publishing online monthly from January 2019, Nature Machine Intelligence is interested in the best research from across the fields of artificial intelligence, machine learning and robotics.
From the journal's Aims & Scope
Research area (LetPub): Multiple
Editorial board by country: 1 in mainland China (about 8%); most named United States 5, United Kingdom 2, Germany 2, Mainland China 1, Italy 1 (12 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Machine Learning in Materials ScienceMaterials Science9.7%
- Computational Drug Discovery MethodsComputer Science8.4%
- Artificial Intelligence in Healthcare and EducationMedicine7.7%
- Ethics and Social Impacts of AISocial Sciences6.5%
- Protein Structure and DynamicsBiochemistry, Genetics and Molecular Biology5.9%
- Explainable Artificial Intelligence (XAI)Computer Science5.7%
- Cell Image Analysis TechniquesBiochemistry, Genetics and Molecular Biology5.5%
- Machine Learning in BioinformaticsBiochemistry, Genetics and Molecular Biology3.9%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 1
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 1 |
| Minor | Computer Science, Artificial Intelligence | Zone 1 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 1 |
Top journal: yesReview journal: no
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 1
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 1 |
| Minor | Computer Science, Artificial Intelligence | Zone 1 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 1 |
Top journal: yesReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 1
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 1 |
| Minor | Computer Science, Artificial Intelligence | Zone 1 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 1 |
Top journal: yesReview journal: no
Database indexing
SCIEScopusLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
Web of SciencePublisher website
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor
- 29.64LetPub ·
- Impact factor (publisher) 2025
- 29.8Publisher website ·
- 5-year impact factor (publisher) 2025
- 36Publisher website ·
- CiteScore 2026-06
- 40.9LetPub ·
- SJR 2026-06
- 6.9LetPub ·
- SNIP 2026-06
- 6.39LetPub ·
- h-index
- 156OpenAlex ·
- i10-index
- 804OpenAlex ·
- 2-year mean citedness
- 23.59OpenAlex ·
- Self-citation rate
- 1.7%LetPub ·
- Share of gold OA articles
- 37.47%LetPub ·
Volume
- Articles per year
- 154LetPub ·
- Downloads per year (publisher) 2025
- 4,113,637Publisher website ·
Articles by year OpenAlex count · 1,310 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 143 | 71 | 277 |
| 2025 | 208 | 100 | 4,263 |
| 2024 | 184 | 92 | 8,078 |
| 2023 | 179 | 102 | 13,283 |
| 2022 | 169 | 92 | 14,970 |
| 2021 | 154 | 85 | 20,084 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
239 daysMedian, submission to acceptance · P25–P75 205 days – 308 days
- Acceptance to online
- median 44 days (74 articles)
- Submission to online
- median 290 days
- Sample
- 74 articles with submission and acceptance dates (411 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Peer review
- Double anonymous peer reviewPublisher website
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Hybrid open accessLetPub
A subscription journal in which authors can pay to publish their article open access.
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| OpenAlex | USD 12,690 / EUR 10,690 / GBP 9,190 | — | — |
A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
Policy excerpts from the journal's websiteAI use, Peer review
- AI use Large language models as uncertainty-calibrated optimizers for experimental discovery
Although language models can be helpful in molecular design, they are not typically calibrated for uncertainty. Rankovic and colleagues present a method to train language models while taking into account the uncertainty of the data. Bojana RankovićRyan-Rhys GriffithsPhilippe Schwaller
Source ↗Publisher website ·- Peer review 3 – Editorial Process, Peer Review, Appeals & Transfers
Once you have submitted your manuscript, it goes through our editorial process. If your manuscript is sent out for peer review, you will receive an email asking you to read and sign our Editorial Policies. To appeal against a decision, or transfer your submission to another journal – Appeals and Transfers. ____________________________________________________________________________________________…
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- SPRINGERNATURE
- Country or region
- ENGLAND
- Language
- English
- Frequency
- 12 issues per year
- ISSN
- 2522-5839
- Official links
- Journal homepage ↗LetPub
- Submission system ↗LetPub
- Author guidelines ↗LetPub
- Special issues ↗Publisher website
FAQ
Frequently asked questions about Nature Machine Intelligence
What CAS zone is Nature Machine Intelligence in?
In the 2025 upgraded edition of the CAS Journal Ranking, Nature Machine Intelligence is in Zone 1 of Computer Science, and in Zone 1 of the minor category Computer Science, Artificial Intelligence / Computer Science, Interdisciplinary Applications; it is a Top journal. In the 2026 Xinrui edition it is in Zone 1 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Nature Machine Intelligence?
The latest impact factor listed by LetPub is 29.64; CiteScore 40.9, h-index 156.
How long does peer review take at Nature Machine Intelligence?
Based on the dates recorded on 74 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 239 days (interquartile range 205–308 days). Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
Where are the editorial board members of Nature Machine Intelligence based?
Of the 12 board members whose country the journal's board page names, 1 (about 8%) are in mainland China; the countries named most often are United States (5), United Kingdom (2) and Germany (2). Counted from the institutions listed on the board page; for reference only.
Which databases index Nature Machine Intelligence?
According to LetPub and DOAJ records, Nature Machine Intelligence is indexed in SCIE and Scopus. The journal's website also lists Web of Science; that list has not been checked against each database.
Is Nature Machine Intelligence open access, and what is the APC?
Nature Machine Intelligence is a hybrid journal. For open-access publication: APC about USD 12,690.
Sources and updates
The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .