Nothing Special   »   [go: up one dir, main page]

Skip to main content

Bibliometric Analysis and Data Visualization of Archival Science Journal Literature (1971–2020)

  • Conference paper
  • First Online:
Information for a Better World: Shaping the Global Future (iConference 2022)

Abstract

Literature publications in archival science have been critical to the recognition of archival science as an independent discipline. The public access to archives has been popularized with the rise of information freedom since 1970, and the research of international archival study has increased year by year. In recent years, data visualization of literature has become the trend of bibliometric analysis. However, there is still a lack of data visualization analysis about international archival science research results.

Therefore, this study used a Scopus database for international journal papers retrieval and employed a bibliometric method to analyze the achievements of international journal articles. The publication quantity, research topics, authors, and journal characteristics were conducted and analyzed. The visualization tools were also taken to present literature keyword distribution and the relationship of subject concepts. The analysis of archival science research literature in international journals could show the whole picture of research trends and changes of archival science in the past 50 years (1971–2020).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lin, C.: Review and outlook of domestic research on archival management. In: Conference Papers of Library and Information Science Research Review and Foresight Edited by Taiwan Association of Library and Information Science Education (2020)

    Google Scholar 

  2. Stephenson, M.S.: Deciding not to build the wall: research and the archival profession. Archivaria 32, 145–151 (1991)

    Google Scholar 

  3. Lewis, D., Alpib, M., Kristine, M.: Bibliometric network analysis and visualization for serials librarians: an introduction to Sci2. Serials Rev. 43(3/4), 239–245 (2017)

    Google Scholar 

  4. Wang, Q.: Distribution features and intellectual structures of digital humanities: a bibliometric analysis. J. Documentation 74(1), 223–246 (2018)

    Article  Google Scholar 

  5. Mokhtari, H., Roumiyani, A., Saberi, M.K.: Bibliometric analysis and visualization of the journal of artificial societies and social simulation (JASSS) between 2000 and 2018. Webology 16(1), 166–183 (2019)

    Google Scholar 

  6. Sun, J., Yuan, B.-Z.: Bibliometric mapping of top papers in library and information science based on the essential science indicators database. Malays. J. Libr. Inf. Sci. 25(2), 61–76 (2020)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chiao-Min Lin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Huang, YT., Lin, CM. (2022). Bibliometric Analysis and Data Visualization of Archival Science Journal Literature (1971–2020). In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13192. Springer, Cham. https://doi.org/10.1007/978-3-030-96957-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-96957-8_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96956-1

  • Online ISBN: 978-3-030-96957-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics