A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences

Bircan, Tuba; Salah, Almila Alkim Akdag

doi:10.3390/math10234398

Cited by 14 publications

(2 citation statements)

References 60 publications

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“…With a notable rise in publishing starting in 2002, most of the papers were published between 2016 and 2022. This result is generally consistent with the studies conducted in previous years (Bircan & Salah, 2022;Prahani et al 2022;Talan, 2021). The United States of America, United Kingdom, and China were the top three most productive nations, with the United States of America producing the most publications like Talan's (2021) study.…”

Section: Discussionsupporting

confidence: 91%

Artificial intelligence in science education: A bibliometric review

Akhmadieva,

Udina,

Kosheleva

et al. 2023

CONT ED TECHNOLOGY

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A descriptive bibliometric analysis of works on artificial intelligence (AI) in science education is provided in this article to help readers understand the state of the field’s research at the time. This study’s main objective is to give bibliometric data on publications regarding AI in science education printed in periodicals listed in the Scopus database between 2002 and 2023 end of May. The data gathered from publications scanned and published within the study’s parameters was subjected to descriptive bibliometric analysis based on seven categories: number of articles and citations per year, countries with the most publications, most productive author, most significant affiliation, funding institutions, publication source and subject areas. Most of the papers were published between 2016 and 2022. The United States of America, United Kingdom, and China were the top-3 most productive nations, with the United States of America producing the most publications. The number of citations to the publications indexed in Scopus database increased in a progressive way and reached to maximum number in 2022 with 178 citations. Most productive author on this topic was Salles, P. with four publications. Moreover, Carnegie Mellon University, University of Memphis, and University of Southern California have the maximum number of publications as affiliations. The National Science Foundation was the leader funding institution in terms of number of publications produced. In addition, “Proceedings Frontiers in Education Conference Fie” have the highest number of publications by year as a publication source. Distribution of the publications by subject area was analyzed. The subject areas of the publications were computer sciences, social sciences, science education, technology and engineering education respectively. This study presents a vision for future research and provides a global perspective on AI in science education.

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Section: Discussionsupporting

confidence: 91%

Artificial intelligence in science education: A bibliometric review

Akhmadieva,

Udina,

Kosheleva

et al. 2023

CONT ED TECHNOLOGY

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“…This can be due to the improvement of processing powers of computing devices in the last few years which opened up more possibilities for ML to be used for disease prediction, diagnosis, and treatment in orthodontics. Like the present study, the number of ML and artificial intelligence-related articles has increased in the past few years in other fields such as oral radiology [14], social sciences [15], pancreatic cancer [16], and health care [17].…”

Section: Discussionmentioning

confidence: 66%

Application of Machine Learning in Orthodontics: A Bibliometric Analysis

Dashti,

Zare,

Tajbakhsh

et al. 2024

AAIML

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Background: Machine learning (ML), a facet of artificial intelligence, utilizes algorithms to learn from data without explicit programming. In orthodontics, ML offers advantages like tailoring personalized treatment plans for patients. Despite its potential, there hasn’t been a bibliometric analysis of ML studies in orthodontics. This study aims to fill that gap. Types of studies reviewed: Articles on ML in orthodontics were reviewed from Web of Science Core Collection, Embase, Scopus, and PubMed. Data on journal details, country of origin, publication month, citations, keywords, and co-authorship were extracted. Results: The search retrieved a total of 1478 articles, of which 701 were excluded. American Journal of Orthodontics and Dentofacial Orthopedics has published the most articles (3.6%), followed by the seminars in Orthodontics Journal (1.6%), and Orthodontics and Craniofacial Research Journal (1.6%). Most of the articles were from researchers from China (n = 156), the United States (n = 107), and South Korea (n = 70). The number of citations of the published articles ranged from 0 to 702, with most articles (75.54%) having at least one citation. Science Mapping analysis revealed that the most used keywords were Human(s) (n = 484), Artificial intelligence (n = 194), Female (n=169), Male (n = 161), and Cephalometry (n = 151). Clinical implications: Clinicians should be aware of the emerging global collaborative landscape in machine learning trends, stay informed about technological advancements, and consider the potential impact of ML on patient care and treatment outcomes in their practices.

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Mapping the Research Landscape of Social and Cultural Impacts on Smart Cities

Ibrahim,

Brahimi

2024

Springer Proceedings in Complexity

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A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences

Cited by 14 publications

References 60 publications

Artificial intelligence in science education: A bibliometric review

Artificial intelligence in science education: A bibliometric review

Application of Machine Learning in Orthodontics: A Bibliometric Analysis

Mapping the Research Landscape of Social and Cultural Impacts on Smart Cities

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