Nature Machine Intelligence

eISSN: 2522-5839pISSN: 2522-5839

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Aims and Scope

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. All editorial decisions are made by a team of full-time professional editors. Less

Key Metrics

CiteScore
16.3
Eigenfactor
0.001 - 0.005
Impact Factor
20 - 25
SJR
Q1Software
SNIP
6.96
Time to Publish
time-to-publish View Chart
9  Mo

Journal Specifications

Overview
  • Publisher
    NATURE PORTFOLIO
  • Language
    English
  • Frequency
    Monthly
General Details
  • Language
    English
  • Frequency
    Monthly
  • Publication Start Year
    2019
  • Website URL
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Time to Publish
Time to publish distribution
Articles published in year 2022
Time to publish index
Months% Papers published
0-3 0%
4-6 9%
7-9 44%
>9 47%

Topics Covered

Deep learning
Ground state
Drug discovery
Optical fiber
Brain atlas
Ai ethics
Cancer gene
Principal component analysis
Nuclear magnetic resonance
Genome
Generative model
Robot
Recurrent neural network
National security
Reinforcement learning
Machine learning
Protein dynamics
Optical sectioning
Active learning
Colonoscopy

Recently Published Papers

FAQs

Since when has Nature Machine Intelligence been publishing? Faqs

The Nature Machine Intelligence has been publishing since 2019 till date.

How frequently is the Nature Machine Intelligence published? Faqs

Nature Machine Intelligence is published Monthly.

Who is the publisher of Nature Machine Intelligence? Faqs

The publisher of Nature Machine Intelligence is NATURE PORTFOLIO.

Where can I find a journal's aims and scope of Nature Machine Intelligence? Faqs

For the Nature Machine Intelligence's Aims and Scope, please refer to the section above on the page.

How can I view the journal metrics of Nature Machine Intelligence on editage? Faqs

For the Nature Machine Intelligence metrics, please refer to the section above on the page.

What is the eISSN and pISSN number of Nature Machine Intelligence? Faqs

The eISSN number is 2522-5839 and pISSN number is 2522-5839 for Nature Machine Intelligence.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Deep learning, Ground state, Drug discovery, Optical fiber, Brain atlas, Ai ethics, Cancer gene, Principal component analysis, Nuclear magnetic resonance, Genome, Generative model, Robot, Recurrent neural network, National security, Reinforcement learning, Machine learning, Protein dynamics, Optical sectioning, Active learning, Colonoscopy.

Why is it important to find the right journal for my research? Faqs

Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.

Can the choice of journal affect my academic career? Faqs

Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.

Is it advisable to target high-impact journals only? Faqs

While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.