Machine Science

About

In recent decades, authors affiliated with Machine Science have published 385 papers, which have received a total of 3.8k indexed citations. Scholars at this organization have produced 128 papers in Mechanical Engineering, 87 papers in Mechanics of Materials and 64 papers in Materials Chemistry on the topics of Tribology and Wear Analysis (28 papers), Engineering Technology and Methodologies (20 papers) and Material Properties and Applications (18 papers). Their work is cited by papers focused on Mechanics of Materials (1.1k citations), Mechanical Engineering (803 citations) and Materials Chemistry (639 citations). Authors at Machine Science collaborate with scholars in United States, Russia and Germany and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society. Some of Machine Science's most productive authors include V. Z. Parton, Thomas S. Richardson, Peter Spirtes, M. Yu. Gutkin, I. A. Ovid’ko, V. A. Bubnov, Yijun Shi, M. S. Blanter, A. G. Khachaturyan and А. Е. Романов.

In The Last Decade

Machine Science

295 papers receiving 3.7k citations

Fields of papers published by authors at Machine Science

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Machine Science at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Machine Science at the time of their publication.

Countries citing scholars working at Machine Science

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Machine Science. 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 produced at Machine Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machine Science more than expected).

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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