SYSTEMATIC REVIEW article

Front. Neurol.

Sec. Sleep Disorders

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1505574

Narcolepsy: A Machine Learning Bibliometric Analysis (1996-2024)

Provisionally accepted
  • 1First People’s Hospital of Jinzhong, Jinzhong, Shanxi Province, China
  • 2First Hospital of Shanxi Medical University, Taiyuan, Shaanxi, China

The final, formatted version of the article will be published soon.

Background: Narcolepsy is a rare neurological cause of chronic sleepiness. This study aimed to better understand global narcolepsy through bibliometric analysis.Methods: Articles and reviews on narcolepsy were sourced from the Web of Science Core Collection. A bibliometric analysis was performed using Microsoft Excel, Python, CiteSpace, VOSviewer, R (bibliometrix), and the Online Analysis Platform of Literature Metrology to assess publication outputs, countries, institutions, authors, journals, co-cited references, and keywords.Results: The analysis included 5,215 publications, with citations significantly increasing from 1996 to 2024. The USA led in publications, while the top institutions were Stanford

Keywords: Narcolepsy, comorbidities, Molecular mechanisms, Treatment, Bibliometric Analysis 1.Introduction 2.2 Data processing 2.2.1 CiteSpace

Received: 26 Nov 2024; Accepted: 28 May 2025.

Copyright: © 2025 Zhang, Hu, Fan and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Minheng Zhang, First People’s Hospital of Jinzhong, Jinzhong, Shanxi Province, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.