Involving Particle Technology in Computational Fluid Dynamics Research: A Bibliometric Analysis

Authors

  • Asep Bayu Dani Nandiyanto Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Risti Ragadhita Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Muhammad Aziz The University of Tokyo, Tokyo, Japan

DOI:

https://doi.org/10.37934/cfdl.15.11.92109

Keywords:

Bibliometric, Computational Fluid Dynamics, Google Scholar, Particle Technology, Research Trend, VOSviewer

Abstract

This research was conducted to determine (i) the growth in the number of scientific publications in the field of particle technology in computational fluid dynamics (CFD), (ii) top citations based on the number of citations, publisher, and country, (iii) visualization of the most productive author, and (iv) publication development map based on keywords. This research method is a descriptive quantitative with bibliometric analysis using Publish or Perish software to harvest data and VOSviewer to visualize related research terms. Data was collected by searching using the Google Scholar database with the keywords “particle technology” and “Computational Fluid Dynamics” from 2019 to 2023. The results showed the growth of scientific publications in the field of particle technology in CFD. The most researched subjects in CFD are “technology,” “CFD analysis,” “fine particles,” and “experimental validation,” which are based on overlay and density visualization. The interrelationships between topics are grouped into four clusters with excellent network visualization. This research is expected to assist researchers in determining the topics to be studied and can also be a reference for further research.

Author Biographies

Asep Bayu Dani Nandiyanto, Universitas Pendidikan Indonesia, Bandung, Indonesia

nandiyanto@upi.edu

Risti Ragadhita, Universitas Pendidikan Indonesia, Bandung, Indonesia

ragadhita@upi.edu

Muhammad Aziz, The University of Tokyo, Tokyo, Japan

maziz@iis.u-tokyo.ac.jp

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2023-09-30

How to Cite

Asep Bayu Dani Nandiyanto, Risti Ragadhita, & Muhammad Aziz. (2023). Involving Particle Technology in Computational Fluid Dynamics Research: A Bibliometric Analysis. CFD Letters, 15(11), 92–109. https://doi.org/10.37934/cfdl.15.11.92109

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