References
Argoubi, M., Ammari, E., & Masri, H. (2021). A scientometric analysis of Operations Research and Management Science research in Africa. Operational Research, 21(3), 1827–1843. https://doi.org/10.1007/s12351-020-00555-9
Benameur, K. B., Mostafa, M. M., Hassanein, A., Shariff, M. Z., & Al-Shattarat, W. (2023). Sustainability reporting scholarly research: a bibliometric review and a future research agenda. Management Review Quarterly. https://doi.org/10.1007/s11301-023-00319-7
Block, J. H., & Fisch, C. (2020). Eight tips and questions for your bibliographic study in business and management research. Management Review Quarterly, 70(3), 307–312. https://doi.org/10.1007/s11301-020-00188-4
Cunill, O., Salvá, A., González, L., & Forteza, C. (2019). Thirty-fifth anniversary of the International Journal of Hospitality Management: A bibliometric overview.
International Journal of Hospitality Management, 78, 89–101.
https://doi.org/10.1016/j.ijhm.2018.10.013
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Franceschini, S., Bertoni, S., Ronconi, L., Molteni, M., Gori, S., & Facoetti, A. (2015). “Shall we play a game?”: Improving reading through action video games in developmental dyslexia. Current Developmental disorders reports, 2, 318-329. https://doi.org/10.1007/s40474-015-0064-4
Gow, R. V., & Hibbeln, J. R. (2014). Omega-3 fatty acid and nutrient deficits in adverse neurodevelopment and childhood behaviors. Child and Adolescent Psychiatric Clinics of North America, 23(3), 555–590. https://doi.org/10.1016/j.chc.2014.02.002
Guillén, L., Sergio, A., & Manuel, C. (2022). Research on social responsibility of small and medium enterprises: a bibliometric analysis.
Management Review Quarterly, 72(3), 857–909.
https://doi.org/10.1007/s11301-021-00217-w
Gronthy, U. U., Biswas, U., Tapu, S., Samad, M. A., & Nahid, A. A. (2023). A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022. Diagnostics, 13(10), 1732. https://doi.org/10.3390/diagnostics13101732
Hari, R., & Salmelin, R. (2012). Magnetoencephalography: From SQUIDs to neuroscience. Neuroimage 20th Anniversary Special Edition. NeuroImage, 61(2), 386–396. https://doi.org/10.1016/j.neuroimage.2011.11.074
Hassan, N. A., Zailani, S., & Hasan, H. A. (2021). A Meta-analysis of Integrated Internal Audit Management Effectiveness towards Business Sustainability. Pertanika Journal of Social Sciences and Humanities. https://api.semanticscholar.org/CorpusID:236603034
Hassanein, A., & Mostafa, M. M. (2023). Bibliometric network analysis of thirty years of islamic banking and finance scholarly research.
Quality & Quantity, 57(3), 1961–1989.
https://doi.org/10.1007/s11135-022-01453-2
Hyland, K., & Jiang, F. K. (2021). A bibliometric study of EAP research: Who is doing what, where and when?. Journal of English for Academic Purposes, 49, 100929. https://doi.org/10.1016/j.jeap.2020.100929
Jan, T. G., & Khan, S. M. (2023). A systematic review of research dimensions towards dyslexia screening using machine learning.
Journal of The Institution of Engineers (India): Series B, 104(2), 511-522.
https://doi.org/10.1007/s40031-023-00853-8
Jadán-Guerrero, J., Avilés-Castillo, F., Buele, J., & Palacios-Navarro, G. (2023, June). Gamification in inclusive education for children with disabilities: global trends and approaches-a bibliometric review. In International conference on computational science and its applications (pp. 461-477). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37105-9_31
Khan, G., & Wood, J. (2016). Knowledge Networks of the Information Technology Management Domain: A Social Network Analysis Approach. Communications of the Association for Information Systems, 39, 367–397. https://doi.org/10.17705/1CAIS.03918
Khasseh, A., Soheili, F., Moghaddam, H., & Mousavi Chelak, A. (2017). Intellectual structure of knowledge in iMetrics: A co-word analysis. Information Processing & Management, 53, 705–720. https://doi.org/10.1016/j.ipm.2017.02.001
Khatib, S., Earnest Abdullah, D., Hendrawaty, E., & Elamer, A. (2021). A bibliometric analysis of cash holdings literature: Current status, development, and agenda for future research. Management. https://doi.org/10.1007/s11301-021-00213-0
Knoke, D., & Yang, S. (2008). Social Network Analysis (Issue 154). SAGE Publications. https://books.google.de/books?id=buiJi6HtGusC
Lyytinen, H., Ronimus, M., Alanko, A., Poikkeus, A. M., & Taanila, M. (2007). Early identification of dyslexia and the use of computer game-based practice to support reading acquisition.
Nordic Psychology, 59(2), 109–126.
https://doi.org/10.1027/1901-2276.59.2.109
Malaquias, R. F., & Malaquias, F. F. D. O. (2021). A literature review on the benefits of serious games to the literacy process of children with disabilities and learning difficulties. Technology and Disability, 33(4), 273-282.
McArthur, G., Sheehan, Y., Badcock, N. A., Francis, D. A., Wang, H. C., Kohnen, S., ... & Castles, A. (2018). Phonics training for English‐speaking poor readers. Cochrane Database of Systematic Reviews, (11). https://doi.org/10.1002/14651858.CD009115.pub3
Mcpherson, M., Smith-Lovin, L., & Cook, J. (2001). Birds of a Feather: Homophily in Social Networks. Annu Rev Sociol, 27, 415–444. https://doi.org/10.1146/annurev.soc.27.1.415
Mura, G., Carta, M. G., Sancassiani, F., Machado, S., & Prosperini, L. (2018). Active exergames to improve cognitive functioning in neurological disabilities: A systematic review and meta-analysis. European Journal of Physical and Rehabilitation Medicine, 54(3), 450–462. https://doi.org/10.23736/S1973-9087.17.04680-9
Peláez-Repiso, A., Sánchez-Núñez, P., & García Calvente, Y. (2021). Tax regulation on blockchain and cryptocurrency: The implications for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 98. https://doi.org/10.3390/joitmc7010098
Schuchardt, J. P., Huss, M., Stauss-Grabo, M., & Hahn, A. (2010). Significance of long-chain polyunsaturated fatty acids (PUFAs) for the development and behaviour of children.
European journal of pediatrics, 169, 149-164.
https://doi.org/10.1007/s00431-009-1035-8
Snowling, M. J., Gooch, D., McArthur, G., & Hulme, C. (2018). Language skills, but not frequency discrimination, predict reading skills in children at risk of dyslexia. Psychological science, 29(8), 1270-1282. https://doi.org/10.1177/0956797618763090
Su, H.-N., & Lee, P.-C. (2010). Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65–79. https://doi.org/10.1007/s11192-010-0259-8
Tang, M., Li, Z., & Lev, B. (2018). Bibliometric Analysis for Highly Cited Papers in Operations Research and Management Science from 2008 to 2017 Based on Essential Science Indicators.
Omega, 88.
https://doi.org/10.1016/j.omega.2018.11.005
Tosun, C. (2022). Bibliometric and content analyses of articles related to science education for special education students. International Journal of Disability, Development and Education, 69(1), 352-369. https://doi.org/10.1080/1034912X.2021.2016659
Wetzstein, A., Feisel, E., Hartmann, E., & Benton, W. C. (2019). Uncovering the supplier selection knowledge structure: A systematic citation network analysis from 1991 to 2017.
Journal of Purchasing and Supply Management, 25(4), 100519.
https://doi.org/10.1016/j.pursup.2018.10.002
Wu, Y., Cheng, Y., Yang, X., Yu, W., & Wan, Y. (2022). Dyslexia: a bibliometric and visualization analysis.
Frontiers in Public Health, 10, 915053.
https://doi.org/10.3389/fpubh.2022.915053
Xiong, F., Shen, P., Li, Z., Huang, Z., Liang, Y., Chen, X., ... & Li, M. (2023). Bibliometric analysis of post-stroke pain research published from 2012 to 2021. Journal of Pain Research, 1-20.