Nature Machine Intelligence

65.8k citations
1.0k papers · · active since 2018

Impact in

Papers in

Nature Machine Intelligence

921 papers receiving 62.9k citations

Peers

Nature Machine Intelligence
Comparison fields: 5 of 240
  • Health Informatics 4.2k
  • Safety Research 4.7k
  • Artificial Intelligence 17.1k
  • Computational Theory and Mathematics 5.6k
  • Biophysics 1.6k
Replace Journal of Statistical Software with:
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Journal of Artificial Intelligence Research United States
Journal Of Big Data United States
ACM Transactions on Intelligent Systems and Technology China
Patterns United States
AI Magazine United States
Data Mining and Knowledge Discovery United States
Nature Biomedical Engineering United States
Statistical Science United States
Cognitive Computation China
Nature Machine Intelligence relative to Journal of Statistical Software United States Journal of Statistical Software's profile →
Citations per field
00.5×5×10×15×18.4×
Journal of Statistical Software · 1×
Citations per year

Countries where authors publish in Nature Machine Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in Nature Machine Intelligence. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Nature Machine Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nature Machine Intelligence more than expected).

Fields of papers published in Nature Machine Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nature Machine Intelligence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Nature Machine Intelligence.

About Nature Machine Intelligence

The 1.0k papers published in Nature Machine Intelligence in the last decades have received a total of 65.8k indexed citations . Papers published in Nature Machine Intelligence usually cover Health Informatics (69 papers), Biophysics (65 papers), Artificial Intelligence (323 papers), Safety Research (70 papers) and Computational Theory and Mathematics (120 papers) specifically the topics of Machine Learning in Materials Science (103 papers), Computational Drug Discovery Methods (99 papers), Artificial Intelligence in Healthcare and Education (69 papers), Protein Structure and Dynamics (69 papers), Ethics and Social Impacts of AI (67 papers), Explainable Artificial Intelligence (XAI) (60 papers), Cell Image Analysis Techniques (59 papers) and RNA and protein synthesis mechanisms (39 papers). The most active scholars publishing in Nature Machine Intelligence are Cynthia D Rudin, Marcello Ienca, Effy Vayena, Anna Jobin, Brent Mittelstadt, Su‐In Lee, Alex J. DeGrave, Scott Lundberg, Hugh Chen and Gabriel Erion.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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