Bibliometric Analysis of Computational Chemistry Research and Its Correlation with Covid-19 Pandemic

Herry Saputra, Chepi Nur Albar, Dedi Sulistiyo Soegoto

Abstract


Computational Chemistry is a branch of chemistry that employs computer simulations to assist in resolving problems regarding chemistry. The goal of this research is to combine mapping analysis from VOSviewer software to analyze bibliometrics in Computational Chemistry field. The data were obtained through the use of a reference manager application with "Computational Chemistry" as the keyword. We collected 1000 articles published between 2017 - 2021 in the search results. According to the findings, research in the field of Computational Chemistry decreased from 2018 to 2020, but increased since 2021. The primary reason for this is that the pandemic has had a significant impact on Computational Chemistry, which is related to laboratory engineering and molecular modeling. This study demonstrates the value of bibliometric analysis in providing analytical data about a phenomenon. The findings of this study are beneficial for future research to find potential areas of Computational Chemistry that can be studied further, due to the discovery of less-researched areas.


Keywords


Computational Chemistry, Bibliometric, VOSviewer, Data Analysis, Database.

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DOI: https://doi.org/10.48317/IMIST.PRSM/morjchem-v10i1.31723