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Journal of Flow Visualization and Image Processing
Главный редактор: Krishnamurthy Muralidhar (open in a new tab)

Выходит 4 номеров в год

ISSN Печать: 1065-3090

ISSN Онлайн: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

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WHY MAKING USE OF FLOW VISUALIZATION?

Том 19, Выпуск 2, 2012, pp. 161-177
DOI: 10.1615/JFlowVisImageProc.2012006234
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Краткое описание

The methods of flow visualization serve for visualizing the motion of fluids that are normally transparent and invisible to the naked eye. Following a postulation of Hermann von Helmholtz, visual perception of the processes under study supports the understanding of the seen or recorded phenomena, here: developing a physical model of the flow processes. This postulation requires a link between the eye and brain where a sufficient knowledge from the past must be stored in order to interpret the visible information. Among all possible sensations, seeing is the most significant source for "constructing a picture of the world" (Ernst Mach). Therefore, quantitative data on physical processes, obtained by measurements or calculations, are most frequently displayed in a visible form in order to facilitate the understanding of their meaning. A flow picture includes an abundance of quantitative data; a number of fundamental flow phenomena unknown before have been discovered by appropriate visualization, e.g., the existence of a supersonic flow, or the formation of coherent structures in turbulent flow.

ЦИТИРОВАНО В
  1. Dimitriou Ioannis, Rodríguez Juan Ángel, Quantitative analysis of two-dimensional flow visualizations using the geometric potential method, Journal of Engineering Mathematics, 98, 1, 2016. Crossref

  2. Fomin N. A., How the Term "Shock Waves" Came Into Being, Journal of Engineering Physics and Thermophysics, 89, 4, 2016. Crossref

  3. Fomin N. A., Shock Waves in Inert and Reactive Media, Journal of Engineering Physics and Thermophysics, 90, 3, 2017. Crossref

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