Communication Disorders and Artificial Intelligence: A Short Bibliometric Review
Aim - Due to the quadrupling in publications since 2022, a bibliometric study is a need of an hour. This study offers a thorough analysis of communication disorders across an appropriate time period.
Methodology - Based on the Pubmed database, a total of 8713 papers about communication disorders were examined during the time period 1963-2022. At the end, 6233 publications and 7012 key terms were retained specially related to communication disorders.
Result - This study systematically reviews research articles on numerous parameters such as (i) cumulative frequency of keywords (ii) analysis of common key terms, (iii) top 10 research scientists, (iv) research article production of top 10 researchers, (v) co-occurrence of key terms
Conclusion - The paper examines the literature using meta-perspectives to analyses the quantitative traits of communication disorders. The proposed analytical study will be a vital resource for substantive discussion about potential future research plans.
Keywords
Neurological disorders
communication disorders
artificial intelligence
key authors and papers
Authors
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Muskan Chawla, Surya Narayan Panda, VIKAS KHULLAR (2025-12-31). Communication Disorders and Artificial Intelligence: A Short Bibliometric Review. Disability, CBR & Inclusive Development, Vol. 36 No. 4 (2025): Winter Issue, 69-76. https://doi.org/10.20372/dcidj.662
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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License By-NC-ND 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access ).
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