Turbulent Shear Layers in Supersonic Flow

278 indexed citations
published 2008
Journal
CERN Document Server (European Organization for Nuclear Research)

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doi.org/10.1007/b137383 →

Countries where authors are citing Turbulent Shear Layers in Supersonic Flow

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This map shows the geographic impact of Turbulent Shear Layers in Supersonic Flow. 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 Turbulent Shear Layers in Supersonic Flow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Turbulent Shear Layers in Supersonic Flow more than expected).

Fields of papers citing Turbulent Shear Layers in Supersonic Flow

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Turbulent Shear Layers in Supersonic Flow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Turbulent Shear Layers in Supersonic Flow.

About Turbulent Shear Layers in Supersonic Flow

This paper, published in 2008, received 278 indexed citations . Written by Alexander J. Smits and Jean-Paul Dussauge covering the research area of Applied Mathematics and Computational Mechanics. It is primarily cited by scholars working on Computational Mechanics (241 citations), Aerospace Engineering (143 citations) and Environmental Engineering (55 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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.

This paper is also available at doi.org/10.1007/b137383.

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