Nature Machine Intelligence

49.5k citations
936 papers · indexed · active since 1952

Nature Machine Intelligence

839 papers receiving 47.4k citations

Peers

Nature Machine Intelligence
Comparison fields: 5 of 239
  • Health Informatics 3.6k
  • Safety Research 3.8k
  • Artificial Intelligence 13.9k
  • Computational Theory and Mathematics 4.9k
  • Biophysics 1.5k
Replace Journal of Artificial Intelligence Research with:
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Nature Machine Intelligence relative to Journal of Artificial Intelligence Research United States Journal of Artificial Intelligence Research's profile →
Citations per field
00.5×7.8×
Journal of Artificial Intelligence Research · 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 936 papers published in Nature Machine Intelligence in the last decades have received a total of 49.5k indexed citations . Papers published in Nature Machine Intelligence usually cover Health Informatics (63 papers), Biophysics (61 papers) and Artificial Intelligence (297 papers) specifically the topics of Computational Drug Discovery Methods (93 papers), Machine Learning in Materials Science (92 papers), Protein Structure and Dynamics (69 papers), Artificial Intelligence in Healthcare and Education (63 papers), Ethics and Social Impacts of AI (62 papers), Cell Image Analysis Techniques (56 papers), Explainable Artificial Intelligence (XAI) (54 papers) and Machine Learning in Bioinformatics (40 papers). The most active scholars publishing in Nature Machine Intelligence are Cynthia 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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