Nature Machine Intelligence
{{Infobox journal
| title = Nature Machine Intelligence
| cover = File:Nature_Machine_Intelligence_journal_cover_volume_1_issue_1.png
| former_name =
| abbreviation = Nat. Mach. Intell.
| discipline = Artificial Intelligence, Machine Learning, and Robotics
| editor = Liesbeth Venema
| publisher = Nature Portfolio
| country = UK
| history = 2019–present
| frequency = Monthly
| openaccess = Hybrid
| license =
| impact = 25.898
| impact-year = 2021
| ISSN =
| eISSN = 2522-5839
| CODEN =
| JSTOR =
| LCCN =
| OCLC = 1083291798
| website = https://www.nature.com/natmachintell/
| link1 = https://www.nature.com/natmachintell/volumes
| link1-name = Online archive
| link2 =
| link2-name =
}}
Nature Machine Intelligence is a monthly peer-reviewed scientific journal published by Nature Portfolio covering machine learning and artificial intelligence. The editor-in-chief is Liesbeth Venema.{{cite web |author= |date= |title=About the Editors |url=https://www.nature.com/natmachintell/editors |access-date=2022-07-25 |website=nature.com |publisher=Springer Nature |quote=}}
History
The journal was created in response to the machine learning explosion of the 2010s. It launched in January 2019, and its opening was met with controversy and boycotts within the machine learning research community due to opposition to Nature publishing the journal as closed access.{{Cite web|url=https://www.forbes.com/sites/samshead/2018/04/30/tech-giant-ai-researchers-boycott-nature-machine-intelligence-journal/#4eba55b45e01|title=Tech Giant AI Researchers Boycott Nature 'Machine Intelligence' Journal|website=Forbes }} To address this issue, now Nature Machine Intelligence gives authors an option to publish open access papers for an additional fee,{{Cite web|title=Open access at the Nature Portfolio {{!}} Nature Portfolio|url=https://www.nature.com/nature-portfolio/open-access|access-date=2022-01-20|website=www.nature.com|language=en}} and "authors remain owners of the research reported, and the code and data supporting the main findings of an article should be openly available. Moreover, preprints are allowed, in fact encouraged, and a link to the preprint can be added below the abstract, visible to all readers."{{Cite journal|date=17 January 2020|title=Let's go 2020|journal=Nature Machine Intelligence|language=en|volume=2|issue=1|pages=1|doi=10.1038/s42256-020-0144-y|issn=2522-5839|doi-access=free}}
Abstracting and indexing
According to the Journal Citation Reports, the journal has a 2021 impact factor of 25.898, ranking it 1st out of 144 journals in the category "Computer Science, Artificial intelligence"{{cite book |year=2022 |chapter=Journals Ranked by Impact: Computer Science, Artificial intelligence |title=2021 Journal Citation Reports |publisher=Clarivate |edition=Science |series=Web of Science}} and first out of 113 journals in the category "Computer Science, Interdisciplinary Applications".{{cite book |year=2022 |chapter=Journals Ranked by Impact: Computer Science, Interdisciplinary Applications |title=2021 Journal Citation Reports |publisher=Clarivate |edition=Science |series=Web of Science}}
References
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External links
- [https://www.nature.com/natmachintell/ Official website]
Category:Nature Research academic journals
Category:Artificial intelligence journals
Category:Academic journals established in 2019
Category:English-language journals
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