Bibliometric Analysis of the Development of Hadith Studies in Reputable International Scientific Publications DOI Creative Commons

Azwar Azwar,

Abur Hamdi Usman, Mohd Farid Ravi Abdullah

et al.

HADIS, Journal Year: 2024, Volume and Issue: 14(27), P. 1 - 13

Published: June 25, 2024

This study aims to understand and analyze trends patterns in scientific publications related Hadith studies through bibliometric analysis using data from the Scopus database 2013 2023. is a on examine structure dynamics of field. The research involves five stages: determining search keywords, selecting articles, validating data, analysis. utilizes VosViewer annual publication trends, author citations, types media, development map studies. results show fluctuating increase number over last decade, dominated by journal articles (78.4%). most prolific Christopher Melchert, while Ramadani V. his colleagues' works are cited. AlBayan main source. Topics like "hadith" "analysis" discussed, topics such as "significance" "Islamic law" less explored, opening opportunities for future research. These findings can help develop curricula enhance global academic collaboration.

Language: Английский

A Qualitative and Quantitative Method for Studying Religious Virtual Communities: The Case of the Salafi United Kingdom’s Community on Twitter (X) DOI Creative Commons
Eli Alshech, Roni Ramon‐Gonen, Onn Shehory

et al.

Religions, Journal Year: 2025, Volume and Issue: 16(4), P. 494 - 494

Published: April 10, 2025

This open-source-based article presents an automated method for identifying and tracing popular Salafi discussions online. The novelty of this lies in its inter-disciplinary approach developed through collaboration among experts the fields Middle East, Islamic studies, computer science. computerized model presented here harnesses machine learning techniques to accurately identify writings on social media distinguish them from Muslims other denominations. Creating AI-supported between that pertain two different denominations is a highly difficult task. Based methodology it implements, study identifies United Kingdom-based Twitter accounts embody thinking (even if they do not utilize terminology manifestly Salafi) and, based identification, analyzes characterizes community Twitter. Unlike ideology-related studies are focused Salafi-jihadism, present research quietist Salafism (Salafi-taqlidis) Kingdom. purpose examine virtual Kingdom, with focus key issues concern members assessing influence global trends within UK-based community.

Language: Английский

Citations

0
Exploring Semantic Hadith Overlap Across Topics DOI
Devi G. Kurup, Amina Daoud, Jens Schneider

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 127 - 138

Published: Jan. 1, 2025

Language: Английский

Citations

0
Examining AI Use in Educational Contexts: A Scoping Meta-Review and Bibliometric Analysis DOI Creative Commons
Yao Fu,

Zhenjie Weng,

Jiaxi Wang

et al.

International Journal of Artificial Intelligence in Education, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Abstract With growing research attention in artificial intelligence education (AIED), there is a profusion of systematic reviews that have investigated AI integration wide variety educational contexts, including PreK-12 schools and higher education. Even though existing explored effects on education, few studies synthesized the results those reviews. To fill this gap, we conducted scoping meta-review bibliometric analysis to map broad field AIED identify gaps based our analysis. Following Preferred Reporting Items for Systematic Review Meta-Analysis (PRISMA) guidelines, searched Scopus Web Science collected 126 review articles from 2014 Mid-August 2023 satisfied inclusion criteria. Specifically, used four criteria screening process: (1) article’s full text was available English; (2) article published peer-reviewed journals; (3) review; (4) focused use one or multiple context(s). Our findings revealed key characteristics included reviews, such as keyword co-occurrence network, co-authorship geographic distribution authorship, levels, subject areas. Three major themes related were generated, encompassing AI’s impact teaching, learning, administration. We also identified commonalities nuanced differences between along with areas been underexplored. study not only expanded understanding AIED, but provided suggestions how strengthen future research.

Language: Английский

Citations

1
Impact of Machine Learning Integration in Qur’anic Studies DOI Open Access
Arshad Iqbal, Shabbir Hassan

Machine Learning Research, Journal Year: 2024, Volume and Issue: 9(2), P. 54 - 63

Published: Oct. 29, 2024

The advancement in the field of computer science, especially machine learning (ML), represents a flourishing innovation that carries great importance domain education. beneficial impact ML can also be observed realm Qur’anic studies, particularly Arabic text recognition and recitation analysis. This paper presents comprehensive analysis 34+ published scholarly articles devoted to studies. work explores convergence methodologies examining innovative applications for voice classification. fusion algorithms makes easy accurate analyze, interpret, extract valuable insights from sacred text. Subsequently, we delve deeper into emergent like k-NN, ANN, BLSTM, MFCC, SVM, NB DL approaches have been adapted texts classification, on accuracy, speed, class recognition, response rate biasness benchmark. covers diverse range applications, including automated exegesis usage Ahkam Al-Tajweed. main contribution is provide insight how facilitates Kufic textual analysis, linguistic subtleties, thematic structures Using deep approaches, reciters, style Quranic has explained work.

Language: Английский

Citations

0
Bibliometric Analysis of the Development of Hadith Studies in Reputable International Scientific Publications DOI Creative Commons

Azwar Azwar,

Abur Hamdi Usman, Mohd Farid Ravi Abdullah

et al.

HADIS, Journal Year: 2024, Volume and Issue: 14(27), P. 1 - 13

Published: June 25, 2024

This study aims to understand and analyze trends patterns in scientific publications related Hadith studies through bibliometric analysis using data from the Scopus database 2013 2023. is a on examine structure dynamics of field. The research involves five stages: determining search keywords, selecting articles, validating data, analysis. utilizes VosViewer annual publication trends, author citations, types media, development map studies. results show fluctuating increase number over last decade, dominated by journal articles (78.4%). most prolific Christopher Melchert, while Ramadani V. his colleagues' works are cited. AlBayan main source. Topics like "hadith" "analysis" discussed, topics such as "significance" "Islamic law" less explored, opening opportunities for future research. These findings can help develop curricula enhance global academic collaboration.

Language: Английский

Citations

0