Machine Learning Science and Technology

6.1k citations
849 papers · indexed · active since 1954

Impact in

Papers in

Machine Learning Science and Technology

690 papers receiving 5.9k citations

Peers

Machine Learning Science and Technology
Comparison fields: 5 of 178
  • Computational Mathematics 72
  • Structural Biology 111
  • Computational Theory and Mathematics 1.1k
  • Artificial Intelligence 1.6k
  • Materials Chemistry 2.0k
Replace SoftwareX with:
SoftwareX United States
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The International Journal of High Performance Computing Applications United States
Multiscale Modeling and Simulation United States
IEEE Transactions on NanoBioscience China
Computers in Physics United States
Physical Biology United States
SIAM Journal on Imaging Sciences United States
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Progress in Nuclear Magnetic Resonance Spectroscopy United States
Machine Learning Science and Technology relative to SoftwareX United States SoftwareX's profile →
Citations per field
00.5×10.3×
SoftwareX · 1×
Citations per year

Countries where authors publish in Machine Learning Science and Technology

Since Specialization
Citations

This map shows the geographic impact of research published in Machine Learning Science and Technology. 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 Machine Learning Science and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machine Learning Science and Technology more than expected).

Fields of papers published in Machine Learning Science and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Machine Learning Science and Technology. 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 Machine Learning Science and Technology.

About Machine Learning Science and Technology

The 849 papers published in Machine Learning Science and Technology in the last decades have received a total of 6.1k indexed citations . Papers published in Machine Learning Science and Technology usually cover Computational Mathematics (8 papers), Artificial Intelligence (327 papers), Structural Biology (14 papers), Statistical and Nonlinear Physics (93 papers) and Computational Theory and Mathematics (106 papers) specifically the topics of Machine Learning in Materials Science (200 papers), Computational Drug Discovery Methods (76 papers), Model Reduction and Neural Networks (68 papers), Neural Networks and Applications (66 papers), Quantum Computing Algorithms and Architecture (62 papers), Gaussian Processes and Bayesian Inference (48 papers), Protein Structure and Dynamics (44 papers) and Computational Physics and Python Applications (43 papers). The most active scholars publishing in Machine Learning Science and Technology are Sergei Manzhos, Esben Jannik Bjerrum, Matthias Rupp, Haoyan Huo, Teodoro Laino, Philippe Schwaller, Alain C. Vaucher, Jean‐Louis Reymond, Jiazhen He and O. Anatole von Lilienfeld.

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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