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All Journal Health Economics Insights Journal Journal of Language and Literature Inquiry
Marouane Zouine
Université Sultan Moulay Slimane
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Nursing Public Health

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Mapping the digital health research landscape of the gulf cooperation council: A bibliometric synthesis of two decades of scholarship (2000–2024) Khaled Ouanes; Marouane Zouine; Muhammad Ali
Health Economics Insights Journal Vol. 1 No. 1 (2026): June 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/heij.v1i1.2108

Abstract

Digital health has become a strategic pillar of health system reform across the Gulf Cooperation Council (GCC). However, the scholarly evidence base for this transformation remains fragmented and unevenly mapped. This study synthesizes two decades of bibliometric evidence (2000–2024) on digital health research originating in the six GCC states—Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates—and specifies a reproducible Scopus and Web of Science extraction protocol for primary science mapping. Drawing on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) framework and established bibliometric guidelines, the analysis integrates macro-indicators of research productivity, thematic structure, and collaboration patterns reported in peer-reviewed regional studies. The evidence documents an accelerating publication trajectory, punctuated by a pronounced COVID-19 inflection and a marked concentration of output in Saudi Arabia and the United Arab Emirates, with Qatar exhibiting the region's steepest relative growth. Thematically, the field has migrated from foundational concerns with e-health infrastructure, electronic health records, and telemedicine toward Artificial Intelligence (AI), m-health, and personalized medicine. Collaboration is oriented predominantly toward extra-regional partners in the United Kingdom and the United States, whereas intra-GCC co-authorship remains comparatively weak. A persistent gap separates the region's world-leading translational deployments, exemplified by the Guinness-recognized Seha Virtual Hospital, from its comparatively modest knowledge production. This study offers a consolidated research agenda and a transparent methodological roadmap to advance rigorous, policy-relevant digital health scholarship in the Gulf.
Two decades of digital humanities and artificial intelligence in language and literature studies: A bibliometric review of Scopus and Web of Science research (2004–2025) Marouane Zouine; Cecep Bryan Firdaus
Journal of Language and Literature Inquiry Vol. 1 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jlli.v1i1.2129

Abstract

The encounter between computational methods and the study of language and literature has moved from a specialist pursuit to a mainstream concern over the past two decades, an acceleration made abrupt by the public release of large language models (LLMs) in late 2022. However, the bibliometric evidence documenting this transformation is fragmented across incompatible databases, disciplinary labels, and short observation windows, leaving scholars without an integrated map of the field. This article synthesizes the quantitative findings of the principal Scopus- and Web of Science–indexed bibliometric studies published between 2004 and 2024, complemented by seminal works that define the intellectual tradition of Digital Humanities (DH) and computational literary studies. Following the PRISMA 2020 guidance, twenty-four core studies and foundational works were selected for a structured performance and science-mapping synthesis. The evidence shows a rapidly expanding but structurally uneven field: corpus sizes reported by prior analyses range from 185 documents in applied linguistics to more than 8,000 across the broad DH landscape; publication output in the artificial intelligence and language stream rose by roughly 190% between 2017 and 2022; and ChatGPT-focused educational research grew from a single indexed document in 2022 to 211 in 2023. Geographically, leadership is contested between the United States and China, while the field’s most cited outlet remains the former Literary and Linguistic Computing (now Digital Scholarship in the Humanities). Six thematic clusters emerged: natural language processing and intelligent tutoring, computer-assisted language learning, automated writing evaluation, computational stylistics, AI authorship and academic integrity, and speech-and multimodal interfaces. The review argues that the field’s central tension—between quantitative ambition and interpretive validation—remains unresolved and is intensified rather than settled by the generative AI. The implications for language and literature scholarship and an agenda for methodologically transparent computational inquiry are outlined.
Co-Authors Cecep Bryan Firdaus Khaled Ouanes Muhammad Ali