Physical Review Fluids

3.9k papers and 39.2k indexed citations
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About

The 3.9k papers published in Physical Review Fluids in the last decades have received a total of 39.2k indexed citations. Papers published in Physical Review Fluids usually cover Computational Mechanics (2.8k papers), Biomedical Engineering (692 papers) and Ocean Engineering (683 papers) specifically the topics of Fluid Dynamics and Turbulent Flows (1.5k papers), Fluid Dynamics and Heat Transfer (649 papers) and Particle Dynamics in Fluid Flows (561 papers). The most active scholars publishing in Physical Review Fluids are Howard A. Stone, Xiang I. A. Yang, Parviz Moin, Ivan Marušič, S. Balachandar, Jianchun Wang, Olga Shishkina, Philipp Schlatter, Jeffrey F. Morris and Ali Mani.

In The Last Decade

Physical Review Fluids

3.5k papers receiving 37.5k citations

Fields of papers published in Physical Review Fluids

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Physical Review Fluids. 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 Physical Review Fluids.

Countries where authors publish in Physical Review Fluids

Since Specialization
Citations

This map shows the geographic impact of research published in Physical Review Fluids. 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 Physical Review Fluids with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Physical Review Fluids 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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