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A new composite journal rank method combines five citation metrics for objective journal evaluation. This approach provides a reliable measure of relative journal reputation across disciplines, validated by expert surveys.

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Area of Science:

  • Bibliometrics and scientometrics
  • Scholarly communication analysis
  • Research impact assessment

Background:

  • Citation-based metrics are widely used to evaluate journal performance and academic records.
  • Existing metrics have limitations and can produce divergent journal rankings.
  • Objective comparison of journals within and across disciplines remains a challenge.

Purpose of the Study:

  • To develop a robust and objective method for ranking peer-reviewed journals.
  • To create a composite journal rank incorporating multiple citation indices.
  • To quantify the relative rank uncertainty associated with journal evaluations.

Main Methods:

  • Developed a kappa-resampled composite journal rank (κ-resampled composite journal rank).
  • Integrated five key citation indices: Impact Factor, Immediacy Index, Source-Normalized Impact Per Paper, SCImago Journal Rank, and Google 5-year h-index.
  • Applied the method to diverse journal sets across Ecology, Medicine, Multidisciplinary, and specialized fields.

Main Results:

  • The κ-resampled composite journal rank demonstrated strong correlation (Spearman's ρ = 0.68–0.84) with expert rankings in Ecology.
  • Clustering techniques revealed distinct journal groups, with Nature and Science forming a separate elite cluster.
  • The approach effectively approximates relative journal reputation and provides uncertainty windows.

Conclusions:

  • The proposed composite index offers a more objective approach to journal ranking than individual metrics.
  • This method aids researchers and employers in evaluating and comparing academic journals across disciplines.
  • Collecting multiple citation metrics is recommended for comprehensive journal assessment.