Internet and People with Intellectual Disability: A Bibliometric Analysis

Andrés, Santiago Mengual; Chiner, Esther; Gómez‐Puerta, Marcos

doi:10.3390/su122310051

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…Bradford's law states (Mengual-Andrés et al. , 2020) that,Distribution of scientific production related to a specific subject is highly unequal, with a small number of sources concentrating a large number of publications, while a large group of sources has a similar number of publications.…”

Section: Methodsmentioning

confidence: 99%

Lean six-sigma (LSS) applications in hospitals: a decade (2011–2020) bibliometric analysis

Singh

Ravi

2022

IJPPM

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PurposeThis study examines the research landscape of Lean Six-Sigma (LSS) applications in hospitals for the period of the last decade (2011–2020) to derive answers to the research questions RQ 1: What are the current publication trends for the application of LSS in hospitals concerning document type, Journal (Source), active authors and country-wise publications and their comparison in the two most reputed scientific databases, i.e. Scopus and Web of Science (WoS), RQ2: What are the clusters based on the authors and keywords? RQ3: What are the research trends and author's productivity in LSS applications in Hospitals? RQ4: What are the future research areas?Design/methodology/approachThis article compares these two databases (Scopus and WoS) based on publication pattern, document type, active authors and co-citation analysis. This article analyzes the core sources, author's productivity, globally cited articles, word growth analysis, thematic map and world collaboration map on the WoS and Scopus dataset. The software used are Vosviewer, Biblioshiny (R Package for Bibliometric) and M.S. Excel.FindingsThe application of LSS in hospitals is a niche theme. In the WoS database International Journal of Lean Six-Sigma and in Scopus database International Journal of Health Care Quality Assurance are the most relevant sources publishing research articles in this field. The USA has the highest scientific production in this field. Among the authors, Antony J is the most active author in this area, with the highest contribution over the years.Originality/valueThis study fills the literature gap by mapping the field of LSS in hospitals.

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Section: Methodsmentioning

confidence: 99%

Lean six-sigma (LSS) applications in hospitals: a decade (2011–2020) bibliometric analysis

Singh

Ravi

2022

IJPPM

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“…Research establishes the principles Web of Science Categories and its temporal trends, the prolific authors' concentrations according to Lotka's Law [59,62,63]. Then, researchers establish nucleus journals according to Bradford's Law [59,[64][65][66][67][68][69][70]. Furthermore, researchers set thematic segments of journal concentration.…”

Section: Methodsmentioning

confidence: 99%

Recognizing New Trends in Brain Drain Studies in the Framework of Global Sustainability

Vega-Muñoz

Gónzalez-Gómez-del-Miño

Espinosa-Cristia

2021

Sustainability

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Scholars had been documenting the Brain Drain phenomenon producing scientific literature for more than 50 years. After three decades of slow but steady progress, literature about this concept has accelerated its progress and growth path, in line with the 9th sustainable development goal “Build resilient infrastructure, promote sustainable industrialization and foster innovation” Thus, the present article aims to define the current theoretical trends about the analysis of advanced intellectual human capital’s international migratory phenomenon. This study uses a scientometric methodology on a corpus of 1212 articles indexed to the JCR-WoS from Social Sciences. The period covered in the study is from 1965 to 2020. The paper looks to understand how researchers studied the brain drain concept over the last 55 years in various disciplines. The report covers 99 categories from the Journal Citation Report (JCR) index. Results show that there is a scientific research critical mass that is studying the brain drain phenomenon. The analysis shows thematic trends at the sources, discourses, and consolidates classic works and some novel authors. Those new scholars and theoretical trends lead to refocused analysis beyond countries with a high development level. Such movement constitutes a new challenge in this line of research toward studying the effects of the brain drain in the peripheral areas of knowledge production.

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“…It is a proportion that indicates how often in a multi-authored articles have a particular author has been listed as the first author. DF factor have been popularly used by many bibliometric studies as a metric to measure contribution by an author [64][65][66]. It is a score between 0 to 1 where the number of first-authored papers of a particular author is divided by the total number of multi-authored papers by that author.…”

Section: Author's Dominance Rankingmentioning

confidence: 99%

Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review

Noman¹,

Akter²,

Pranto³

et al. 2022

AETiC

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With unorganized, unplanned and improper use of limited raw materials, an abundant amount of waste is being produced, which is harmful to our environment and ecosystem. While traditional linear production lines fail to address far-reaching issues like waste production and a shorter product life cycle, a prospective concept, namely circular economy (CE), has shown promising prospects to be adopted at industrial and governmental levels. CE aims to complete the product life cycle loop by bringing out the highest values from raw materials in the design phase and later on by reusing, recycling, and remanufacturing. Innovative technologies like artificial intelligence (AI) and machine learning(ML) provide vital assistance in effectively adopting and implementing CE in real-world practices. This study explores the adoption and integration of applied AI techniques in CE. First, we conducted bibliometric analysis on a collection of 104 SCOPUS indexed documents exploring the critical research criteria in AI and CE. Forty papers were picked to conduct a systematic literature review from these documents. The selected documents were further divided into six categories: sustainable development, reverse logistics, waste management, supply chain management, recycle & reuse, and manufacturing development. Comprehensive research insights and trends have been extracted and delineated. Finally, the research gap needing further attention has been identified and the future research directions have also been discussed.

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Internet and People with Intellectual Disability: A Bibliometric Analysis

Cited by 6 publications

References 39 publications

Lean six-sigma (LSS) applications in hospitals: a decade (2011–2020) bibliometric analysis

Lean six-sigma (LSS) applications in hospitals: a decade (2011–2020) bibliometric analysis

Recognizing New Trends in Brain Drain Studies in the Framework of Global Sustainability

Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review

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