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Examining the developments in scheduling algorithms research: A bibliometric approach

This study examined the developments in the field of Scheduling algorithms in the last 30 years (1992–2021) to help researchers gain new insight and uncover the emerging areas of growth for further research in this field. This study, therefore, carried out a bibliometric analysis of 12,644 peer-revi...

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Detalles Bibliográficos
Autor principal: Omotehinwa, Temidayo Oluwatosin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157010/
https://www.ncbi.nlm.nih.gov/pubmed/35663729
http://dx.doi.org/10.1016/j.heliyon.2022.e09510
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author Omotehinwa, Temidayo Oluwatosin
author_facet Omotehinwa, Temidayo Oluwatosin
author_sort Omotehinwa, Temidayo Oluwatosin
collection PubMed
description This study examined the developments in the field of Scheduling algorithms in the last 30 years (1992–2021) to help researchers gain new insight and uncover the emerging areas of growth for further research in this field. This study, therefore, carried out a bibliometric analysis of 12,644 peer-reviewed documents extracted from the Scopus database using the Bibliometrix R package for bibliometric analysis via the Biblioshiny web interface. The results of this study established the development status of the field of Scheduling Algorithms, the growth rate, and emerging thematic areas for further research, institutions, and country collaborations. It also identified the most impactful and leading authors, keywords, sources, and publications in this field. These findings can help both budding and established researchers to find new research focus and collaboration opportunities and make informed decisions as they research the field of scheduling algorithms and their applications.
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spelling pubmed-91570102022-06-02 Examining the developments in scheduling algorithms research: A bibliometric approach Omotehinwa, Temidayo Oluwatosin Heliyon Research Article This study examined the developments in the field of Scheduling algorithms in the last 30 years (1992–2021) to help researchers gain new insight and uncover the emerging areas of growth for further research in this field. This study, therefore, carried out a bibliometric analysis of 12,644 peer-reviewed documents extracted from the Scopus database using the Bibliometrix R package for bibliometric analysis via the Biblioshiny web interface. The results of this study established the development status of the field of Scheduling Algorithms, the growth rate, and emerging thematic areas for further research, institutions, and country collaborations. It also identified the most impactful and leading authors, keywords, sources, and publications in this field. These findings can help both budding and established researchers to find new research focus and collaboration opportunities and make informed decisions as they research the field of scheduling algorithms and their applications. Elsevier 2022-05-21 /pmc/articles/PMC9157010/ /pubmed/35663729 http://dx.doi.org/10.1016/j.heliyon.2022.e09510 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Omotehinwa, Temidayo Oluwatosin
Examining the developments in scheduling algorithms research: A bibliometric approach
title Examining the developments in scheduling algorithms research: A bibliometric approach
title_full Examining the developments in scheduling algorithms research: A bibliometric approach
title_fullStr Examining the developments in scheduling algorithms research: A bibliometric approach
title_full_unstemmed Examining the developments in scheduling algorithms research: A bibliometric approach
title_short Examining the developments in scheduling algorithms research: A bibliometric approach
title_sort examining the developments in scheduling algorithms research: a bibliometric approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157010/
https://www.ncbi.nlm.nih.gov/pubmed/35663729
http://dx.doi.org/10.1016/j.heliyon.2022.e09510
work_keys_str_mv AT omotehinwatemidayooluwatosin examiningthedevelopmentsinschedulingalgorithmsresearchabibliometricapproach