A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow

2.1k indexed citations

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This paper, published in 1976, received 2.1k indexed citations. Written by A. E. Dukler covering the research area of Mechanical Engineering, Biomedical Engineering and Computational Mechanics. It is primarily cited by scholars working on Biomedical Engineering (1.4k citations), Mechanical Engineering (1.2k citations) and Ocean Engineering (792 citations). Published in AIChE Journal.

Countries where authors are citing A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow

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This map shows the geographic impact of A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid 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 A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow more than expected).

Fields of papers citing A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow.

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/10.1002/aic.690220105.

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