IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-02825-9.html
   My bibliography  Save this article

Prosody in linguistic journals: a bibliometric analysis

Author

Listed:
  • Mengzhu Yan

    (Huazhong University of Science and Technology)

  • Xue Wu

    (Huazhong University of Science and Technology)

Abstract

The present study provides a systematic review of prosody research in linguistic journals through a bibliometric analysis. Using the bibliographic data from 2001 to 2021 in key linguistic journals that publish prosody-related research, this study adopted co-citation analysis and keyword analysis to investigate the state of the intellectual structure and the emerging trends of research on prosody in linguistics over the past 21 years. Additionally, this study identified the highly cited authors, articles and journals in the field of prosody. The results offer a better understanding of how research in this area has evolved and where the boundaries of prosody research might be pushed in the future.

Suggested Citation

  • Mengzhu Yan & Xue Wu, 2024. "Prosody in linguistic journals: a bibliometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02825-9
    DOI: 10.1057/s41599-024-02825-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-02825-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-02825-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    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. Dennys Eduardo Rossetto & Roberto Carlos Bernardes & Felipe Mendes Borini & Cristiane Chaves Gattaz, 2018. "Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1329-1363, June.
    5. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    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. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Borazon, Elaine Quintana & Chuang, Hsueh-Hua, 2023. "Resilience in educational system: A systematic review and directions for future research," International Journal of Educational Development, Elsevier, vol. 99(C).
    3. Paola Bernardi & Alberto Bertello & Canio Forliano & Ludovico Bullini Orlandi, 2022. "Beyond the “ivory tower”. Comparing academic and non-academic knowledge on social entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(3), pages 999-1032, September.
    4. Piccarozzi, Michela & Silvestri, Cecilia & Aquilani, Barbara & Silvestri, Luca, 2022. "Is this a new story of the ‘Two Giants’? A systematic literature review of the relationship between industry 4.0, sustainability and its pillars," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    5. Tan, Xueping & Zhong, Yiran & Vivian, Andrew & Geng, Yong & Wang, Ziyi & Zhao, Difei, 2024. "Towards an era of multi-source uncertainty: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    6. Natalya Ivanova & Ekaterina Zolotova, 2023. "Landolt Indicator Values in Modern Research: A Review," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    7. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    8. Loredana Canfora & Corrado Costa & Federico Pallottino & Stefano Mocali, 2021. "Trends in Soil Microbial Inoculants Research: A Science Mapping Approach to Unravel Strengths and Weaknesses of Their Application," Agriculture, MDPI, vol. 11(2), pages 1-21, February.
    9. Natalya Ivanova & Ekaterina Zolotova, 2024. "Vegetation Dynamics Studies Based on Ellenberg and Landolt Indicator Values: A Review," Land, MDPI, vol. 13(10), pages 1-24, October.
    10. Lin Hu & Qinghai Chen & Tingting Yang & Chuanjian Yi & Jing Chen, 2024. "Visualization and Analysis of Hotspots and Trends in Seafood Cold Chain Logistics Based on CiteSpace, VOSviewer, and RStudio Bibliometrix," Sustainability, MDPI, vol. 16(15), pages 1-22, July.
    11. Luca Brunelli & Emiliano Borri & Anna Laura Pisello & Andrea Nicolini & Carles Mateu & Luisa F. Cabeza, 2024. "Thermal Energy Storage in Energy Communities: A Perspective Overview through a Bibliometric Analysis," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    12. Ioana Bianca (Câmpean) Pătrînjan, 2022. "Global Evolution of Research on Sustainable Development and Carbon Dioxide Emissions: a Bibliometric Review," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 153-161, Decembrie.
    13. Marcos Ferasso & Tatiana Beliaeva & Sascha Kraus & Thomas Clauss & Domingo Ribeiro‐Soriano, 2020. "Circular economy business models: The state of research and avenues ahead," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3006-3024, December.
    14. Vanessa Ioannoni & Tommaso Vitale & Corrado Costa & Iris Elliott, 2020. "Depicting communities of Romani studies: on the who, when and where of Roma related scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1473-1490, March.
    15. P. K. Priyan & Wakara Ibrahimu Nyabakora & Geofrey Rwezimula, 2023. "A bibliometric review of the knowledge base on financial inclusion," SN Business & Economics, Springer, vol. 3(2), pages 1-21, February.
    16. Muhammad Ashraf Fauzi, 2023. "Social media in disaster management: review of the literature and future trends through bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 953-975, September.
    17. Alba Viana-Lora & Marta Gemma Nel-lo-Andreu, 2022. "Bibliometric analysis of trends in COVID-19 and tourism," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    18. Haitham Nobanee & Fatima Youssef Al Hamadi & Fatma Ali Abdulaziz & Lina Subhi Abukarsh & Aysha Falah Alqahtani & Shayma Khalifa AlSubaey & Sara Mohamed Alqahtani & Hamama Abdulla Almansoori, 2021. "A Bibliometric Analysis of Sustainability and Risk Management," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    19. Chuyou Fu & Jun Wang & Ziyi Qu & Martin Skitmore & Jiaxin Yi & Zhengjie Sun & Jianli Chen, 2024. "Structural Equation Modeling in Technology Adoption and Use in the Construction Industry: A Scientometric Analysis and Qualitative Review," Sustainability, MDPI, vol. 16(9), pages 1-21, May.
    20. Małgorzata Krzywonos & Zdzisława Romanowska-Duda & Przemysław Seruga & Beata Messyasz & Stanisław Mec, 2023. "The Use of Plants from the Lemnaceae Family for Biofuel Production—A Bibliometric and In-Depth Content Analysis," Energies, MDPI, vol. 16(4), pages 1-24, February.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02825-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.