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Springer Nature
Machine Learning Template
Write in a clean editor, then format for Machine Learning in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Machine Learning format
Machine Learning is a peer-reviewed journal published by Springer Nature, covering Machine Learning and Algorithms, Machine Learning and Data Classification, Neural Networks and Applications.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Machine Learning 12, 45–58 (2023).
Formats any DOI in Machine Learning style. No sign-up. |
| Publishes research in | Machine Learning and Algorithms Machine Learning and Data Classification Neural Networks and Applications Data Mining Algorithms and Applications Bayesian Modeling and Causal Inference |
| ISSN | 0885-6125 |
| Citation impact (2-yr) | 3.18 |
| h-index | 262 |
| i10-index | 1,899 |
| Total citations | 636,046 |
| Article processing charge | $2,990 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Machine Learning per year
Citation impact of Machine Learning by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Machine Learning
40,611 citations
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33,310 citations
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17,057 citations
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16,410 citations
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Related journal templates
Machine Learning template — frequently asked questions
How do I write a paper in the Machine Learning format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Machine Learning template. When you export, DocuGuru compiles the paper into the official Springer Nature format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Machine Learning use?
Machine Learning uses Superscript numbered (Nature) references, shown as superscript numerals in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A., Jones, B. & Lee, C. A representative article title. Machine Learning 12, 45–58 (2023).
Do I need to know LaTeX to submit to Machine Learning?
No. DocuGuru generates the sn-jnl LaTeX class and compiles the PDF for you in the background, so you get a Springer Nature-ready Machine Learning document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Machine Learning template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Machine Learning format with correct headings, figures, tables, and superscript citations.
Who publishes Machine Learning?
Machine Learning is a multidisciplinary journal published by Springer Nature. DocuGuru's Machine Learning template matches Springer Nature's official submission format.
Can I export a submission-ready Machine Learning PDF?
Yes — DocuGuru produces a PDF built with the official Machine Learning template (the sn-jnl class) that is ready to submit to Springer Nature, together with the matching LaTeX source files.
How much does the Machine Learning template cost?
You can start writing in the Machine Learning template for free. Exporting the final submission-ready Machine Learning PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.