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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9157010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |