Multi-Decade Research in Library Classification: A Longitudinal Analysis of Publications in ALIS (1954–2024) and SRELS (1964–2024).

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Title: Multi-Decade Research in Library Classification: A Longitudinal Analysis of Publications in ALIS (1954–2024) and SRELS (1964–2024).
Authors: Agarwal, Kritika1 (AUTHOR) kritikaa0210@gmail.com, Jaiswal, Babita1 (AUTHOR)
Source: Serials Librarian. 2026, Vol. 87 Issue 3/4, p137-148. 12p.
Subject Terms: *Interprofessional relations, *Artificial intelligence, *Authorship, *Citation analysis, *Longitudinal method, *Bibliographical citations, *Research, *Bibliometrics, *Communication, *Information retrieval, *Bibliography, *Machine learning, Classification of books, Serial publications, Population geography, Descriptive statistics, Institutional cooperation, Thematic analysis, Information science, Acquisition of data, Latent semantic analysis, Publishing, Data analysis software
Abstract: The present study offers a seventy-year longitudinal examination of library classification literature published in two premier Indian journals, Annals of Library and Information Studies (ALIS) and SRELS Journal of Information and Knowledge (SRELS), from 1954 to 2024. A total of 296 were manually identified and scrutinized to evaluate chronological trends alongside authorship patterns and institutional and geographical contributions while also examining subject focus and emerging research directions. A peak of classification research activity was observed in the 1960s before experiencing a marked downturn after 1972. The study of Depth Classification and Colon Classification emerged as dominant themes through the influence of pioneers such as S. R. Ranganathan. The study reveals an emerging trend of collaborative research combined with a preference for brief empirical studies while digital and AI classification methods show growth but remain inadequately integrated. The study urges the LIS community to direct attention towards updating classification research practices to match current technological progress. [ABSTRACT FROM AUTHOR]
Copyright of Serials Librarian is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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PubType: Academic Journal
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  Data: Multi-Decade Research in Library Classification: A Longitudinal Analysis of Publications in ALIS (1954–2024) and SRELS (1964–2024).
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  Data: <searchLink fieldCode="AR" term="%22Agarwal%2C+Kritika%22">Agarwal, Kritika</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kritikaa0210@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Jaiswal%2C+Babita%22">Jaiswal, Babita</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Serials+Librarian%22">Serials Librarian</searchLink>. 2026, Vol. 87 Issue 3/4, p137-148. 12p.
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– Name: Abstract
  Label: Abstract
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  Data: The present study offers a seventy-year longitudinal examination of library classification literature published in two premier Indian journals, Annals of Library and Information Studies (ALIS) and SRELS Journal of Information and Knowledge (SRELS), from 1954 to 2024. A total of 296 were manually identified and scrutinized to evaluate chronological trends alongside authorship patterns and institutional and geographical contributions while also examining subject focus and emerging research directions. A peak of classification research activity was observed in the 1960s before experiencing a marked downturn after 1972. The study of Depth Classification and Colon Classification emerged as dominant themes through the influence of pioneers such as S. R. Ranganathan. The study reveals an emerging trend of collaborative research combined with a preference for brief empirical studies while digital and AI classification methods show growth but remain inadequately integrated. The study urges the LIS community to direct attention towards updating classification research practices to match current technological progress. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Serials Librarian is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/0361526X.2026.2639975
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 137
    Subjects:
      – SubjectFull: Interprofessional relations
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Authorship
        Type: general
      – SubjectFull: Citation analysis
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Bibliographical citations
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Communication
        Type: general
      – SubjectFull: Information retrieval
        Type: general
      – SubjectFull: Bibliography
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Classification of books
        Type: general
      – SubjectFull: Serial publications
        Type: general
      – SubjectFull: Population geography
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Institutional cooperation
        Type: general
      – SubjectFull: Thematic analysis
        Type: general
      – SubjectFull: Information science
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Latent semantic analysis
        Type: general
      – SubjectFull: Publishing
        Type: general
      – SubjectFull: Data analysis software
        Type: general
    Titles:
      – TitleFull: Multi-Decade Research in Library Classification: A Longitudinal Analysis of Publications in ALIS (1954–2024) and SRELS (1964–2024).
        Type: main
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          Name:
            NameFull: Agarwal, Kritika
      – PersonEntity:
          Name:
            NameFull: Jaiswal, Babita
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
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              Value: 0361526X
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              Value: 87
            – Type: issue
              Value: 3/4
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            – TitleFull: Serials Librarian
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