Examining the developments in scheduling algorithms research: A bibliometric approach

Omotehinwa, Temidayo Oluwatosin

doi:10.1016/j.heliyon.2022.e09510

Cited by 28 publications

(18 citation statements)

References 68 publications

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“…We extracted all publications related to PP from Scopus. This academic database is one of the largest repositories for abstracts and citations of peer-reviewed documents, including journal articles and conference proceedings (Omotehinwa, 2022). Scopus also has numerous operating functions that simplify the application of bibliometric analyses and it is extensively used by researchers to obtain high-quality analyses (Aazami et al , 2020; Yao et al , 2018).…”

Section: Methodsmentioning

confidence: 99%

The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus

Rejeb

Appolloni

et al. 2023

JOPP

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Purpose The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984. Design/methodology/approach A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP. Findings Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors’ cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North–South divide, signifying insufficient research collaboration between developed and developing countries’ institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested. Social implications This paper provides an increased understanding of the entire PP field and the potential research directions. Originality/value To the best of the authors’ knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.

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Section: Methodsmentioning

confidence: 99%

The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus

Rejeb

Appolloni

et al. 2023

JOPP

View full text Add to dashboard Cite

show abstract

“…The key purposes of bibliometric analysis are to identify, organize, and analyze the key components within a specific research arena [ 40 ]. The bibliometric analysis aims to collect an abstract overview by quantitatively structuring and analyzing a large database of journal publications with multi-faceted sub-topics [ 22 ].…”

Section: Methodsmentioning

confidence: 99%

Board gender diversity and corporate social responsibility: A bibliometric analysis

Alhosani

Nobanee

2023

Heliyon

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“…22 Network analysis was used to examine the scientific, social, intellectual, and conceptual structures of scientific production in the field of interest. 30 Networks exhibit the research constituents or objects (e.g., authors, institutions, countries) and their relationships as an interconnected system in which the vertices (nodes) represent the objects and the edges (links) draw the relationships between them. In network analysis, the centrality metrics of the vertices (e.g., weighted degree, betweenness, closeness, and PageRank) are computed to provide empirical evidence of their relative importance in the network.…”

Section: Bibliometric Analysismentioning

confidence: 99%

Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis

García-Jaramillo,

Luque,

León-Vargas

2023

J Diabetes Sci Technol

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Background: The use of machine learning and deep learning techniques in the research on diabetes has garnered attention in recent times. Nonetheless, few studies offer a thorough picture of the knowledge generation landscape in this field. To address this, a bibliometric analysis of scientific articles published from 2000 to 2022 was conducted to discover global research trends and networks and to emphasize the most prominent countries, institutions, journals, articles, and key topics in this domain. Methods: The Scopus database was used to identify and retrieve high-quality scientific documents. The results were classified into categories of detection (covering diagnosis, screening, identification, segmentation, among others), prediction (prognosis, forecasting, estimation), and management (treatment, control, monitoring, education, telemedicine integration). Biblioshiny and RStudio were used to analyze the data. Results: A total of 1773 articles were collected and analyzed. The number of publications and citations increased substantially since 2012, with a notable increase in the last 3 years. Of the 3 categories considered, detection was the most dominant, followed by prediction and management. Around 53.2% of the total journals started disseminating articles on this subject in 2020. China, India, and the United States were the most productive countries. Although no evidence of outstanding leadership by specific authors was found, the University of California emerged as the most influential institution for the development of scientific production. Conclusion: This is an evolving field that has experienced a rapid increase in productivity, especially over the last years with exponential growth. This trend is expected to continue in the coming years.

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Examining the developments in scheduling algorithms research: A bibliometric approach

Cited by 28 publications

References 68 publications

The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus

The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus

Board gender diversity and corporate social responsibility: A bibliometric analysis

Machine Learning and Deep Learning Techniques Applied to Diabetes Research: A Bibliometric Analysis

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