Mapping the Knowledge Landscape of Dyslexia: A Worldwide Bibliometric Study

This study presents a comprehensive bibliometric analysis of dyslexia research conducted worldwide between 1998 and 2025. Using a dataset of 9,492 records, the analysis maps the global knowledge landscape, covering 15,946 contributing authors, 1,264 journals, 87 countries, 4,179 institutions, and 22 publication languages. A total of 268,410 global citations and 103,779 local citations were recorded, with an overall H-index of 199, indicating high scholarly impact. The study employed bibliometric tools to examine publication trends, authorship patterns, institutional contributions, and citation dynamics. Findings reveal steady growth in dyslexia research, with significant international collaboration and multidisciplinary engagement spanning education, psychology, linguistics, and neuroscience. The results highlight key contributors, emerging research clusters, and global knowledge networks. Limitations include reliance on indexed databases and citation-based metrics. Overall, the study provides a structured overview of dyslexia scholarship, offering valuable insights for researchers, educators, and policymakers, while suggesting future directions in digital learning interventions, neurocognitive studies, and inclusive education practices.

Dyslexia, Knowledge, Bibliometric study

1. Surulinathi, M., & Kanagasundari, S. (2017). Mapping of digital learning research output: A scientometric analysis. Res J Inf Sci Technol, 103-120. [Google Scholar] [Crossref]

2. Surulinathi, D. M., & Kanagasundari, M.(2015). Scientometric Mapping of Bluetongue Virus. Indian Journal of Information Science and Services, 9(1-2), 62-70. [Google Scholar] [Crossref]

3. Kanagasundari, S., Kohila, G. T., & Prasannakumari, N. (2019). A Bibliometric Analysis of Authorship Productivity and Collaborative Research in Blogosphere. Asian Journal of Information Science and Technology, 9(S1), 92–98. https://doi.org/10.51983/ajist-2019.9.S1.214. [Google Scholar] [Crossref]

4. Kanagasundari, S., & Prasanna Kumari, N. (2014). Mapping of Research Productivity among Tamil Nadu state Universities: A comparative study. Indian Journal of Information Science and Services, 8(2), 35-43. [Google Scholar] [Crossref]

5. Kanagasundari, S., Surulinathi, D. M., & Kumari, N. P. (2015). Scientometric Mapping of Green Revolution: The Global Perspective. Indian Journal of Information Science and Services, 80-87. [Google Scholar] [Crossref]

6. S. Kanagasundari, M.Munafur Hussaina & N. Rajesh (2025). A Scientometric Evaluation of Research Trends and Outputs Related to Fossil Fuels, Indian Journal of Natural Sciences, 16(90), 96651-96664. [Google Scholar] [Crossref]

7. S. Kanagasundari, M.Munafur Hussaina & N. Rajesh (2025). Evaluating the Research Productivity of Agricultural Universities in Tamil Nadu: A Scientometric Perspective, Indian Journal of Natural Sciences, 16(90), 96730-96739. [Google Scholar] [Crossref]

• Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
• Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
• “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
• Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
• Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study