IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p215-d1012759.html
   My bibliography  Save this article

Mapping Research Trends from 20 Years of Publications in Rhythmic Auditory Stimulation

Author

Listed:
  • Meiqi Zhang

    (Department of Physical Education and Health Education, Springfield College, Springfield, MA 01109, USA
    Yale/VA Learning-Based Recovery Center, Yale University, New Haven, CT 06510, USA
    These authors contributed equally to this work.)

  • Fang Li

    (Department of Neurology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, China
    These authors contributed equally to this work.)

  • Dongyu Wang

    (Department of Neurology, The Center Hospital of Jinzhou, Jinzhou 121001, China)

  • Xiaohong Ba

    (Department of Neurology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121001, China)

  • Zhan Liu

    (Department of Physical Education and Health Education, Springfield College, Springfield, MA 01109, USA)

Abstract

This study aims to create an all-around insight into the evolutions, status, and global trends of rhythmic auditory stimulation (RAS) research via enhanced bibliometric methods for the 2001–2020 time period. Articles concerning RAS were extracted from the Web of Science database. CiteSpace, Bibliometrix, VOSviewer, and Graphpad Prism were employed to analyze publication patterns and research trends. A total of 586 publications related to RAS between 2001 and 2020 were retrieved from the Web of Science database. The researcher Goswami U. made the greatest contribution to this field. The University of Toronto was the institution that published the most articles. Motor dysfunction, sensory perception, and cognition are the three major domains of RAS research. Neural tracking, working memory, and neural basis may be the latest research frontiers. This study reveals the publication patterns and topic trends of RAS based on the records published between 2001 and 2020. The insights obtained provided useful references for the future research and applications of RAS.

Suggested Citation

  • Meiqi Zhang & Fang Li & Dongyu Wang & Xiaohong Ba & Zhan Liu, 2022. "Mapping Research Trends from 20 Years of Publications in Rhythmic Auditory Stimulation," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:215-:d:1012759
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/215/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/215/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    4. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saumyaranjan Sahoo & Satish Kumar & Uthayasankar Sivarajah & Weng Marc Lim & J. Christopher Westland & Ashwani Kumar, 2024. "Blockchain for sustainable supply chain management: trends and ways forward," Electronic Commerce Research, Springer, vol. 24(3), pages 1563-1618, September.
    2. Yunlong Niu & Mastura Adam & Hazreena Hussein, 2022. "Connecting Urban Green Spaces with Children: A Scientometric Analysis Using CiteSpace," Land, MDPI, vol. 11(8), pages 1-23, August.
    3. Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib & Ainin Sulaiman, 2023. "Light-emitting diode (LED) research: A bibliometric analysis during 2003–2018," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 173-191, February.
    4. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    5. Théodore Nikiema & Eugène C. Ezin & Sylvain Kpenavoun Chogou, 2023. "Bibliometric Analysis of the State of Research on Agroecology Adoption and Methods Used for Its Assessment," Sustainability, MDPI, vol. 15(21), pages 1-18, November.
    6. Tao Liu & Nicole Wassell & John Liu & Meiqi Zhang, 2022. "Mapping Research Trends of Adapted Sport from 2001 to 2020: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(19), pages 1-13, October.
    7. Mehdi Toloo & Rouhollah Khodabandelou & Amar Oukil, 2022. "A Comprehensive Bibliometric Analysis of Fractional Programming (1965–2020)," Mathematics, MDPI, vol. 10(11), pages 1-21, May.
    8. Manta Eduard Mihai & Davidescu Adriana Ana Maria & Geambasu Maria Cristina & Florescu Margareta Stela, 2023. "Exploring the research area of direct taxation. An empirical analysis based on bibliometric analysis results," Management & Marketing, Sciendo, vol. 18(s1), pages 355-383, December.
    9. Albiona Pestisha & Zoltán Gabnai & Aidana Chalgynbayeva & Péter Lengyel & Attila Bai, 2023. "On-Farm Renewable Energy Systems: A Systematic Review," Energies, MDPI, vol. 16(2), pages 1-25, January.
    10. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    11. Pan Zhang & Yongjun Du & Sijie Han & Qingan Qiu, 2022. "Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace," Energies, MDPI, vol. 15(15), pages 1-27, July.
    12. Moaaz Kabil & Mohamed Abouelseoud & Faisal Alsubaie & Heba Mostafa Hassan & Imre Varga & Katalin Csobán & Lóránt Dénes Dávid, 2022. "Evolutionary Relationship between Tourism and Real Estate: Evidence and Research Trends," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    13. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    14. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    15. Davidescu, Adriana AnaMaria & Petcu, Monica Aureliana & Curea, Stefania Cristina & Manta, Eduard Mihai, 2022. "Two faces of the same coin: Exploring the multilateral perspective of informality in relation to Sustainable Development Goals based on bibliometric analysis," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 683-705.
    16. Di Vaio, Assunta & Palladino, Rosa & Pezzi, Alberto & Kalisz, David E., 2021. "The role of digital innovation in knowledge management systems: A systematic literature review," Journal of Business Research, Elsevier, vol. 123(C), pages 220-231.
    17. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    18. Thomas Cowhitt & Joshua Travis Brown & Anthony Lising Antonio, 2024. "The emergence and evolution of ambiguous ideas: an innovative application of social network analysis to support systematic literature reviews," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7005-7033, November.
    19. Itsuki Kageyama & Karin Kurata & Shuto Miyashita & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
    20. Drago, Carlo & Gatto, Andrea & Ruggeri, Matteo, 2023. "Telemedicine as technoinnovation to tackle COVID-19: A bibliometric analysis," Technovation, Elsevier, vol. 120(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:215-:d:1012759. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.