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Updated: Mar 25, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
34.3K
Statistical modelling of citation exchange between statistics journals.
Cristiano Varin1, Manuela Cattelan2, David Firth3
1Università Ca' Foscari Venezia Italy.
Summary
Journal citation rankings can identify prestigious statistics journals but require careful interpretation due to data heterogeneity. These rankings correlate with institutional research quality assessments at an aggregate level.
Area of Science:
- Bibliometrics
- Scholarly Communication
- Statistical Sciences
Background:
- Journal rankings based on citation data face skepticism regarding prestige perception and researcher evaluation.
- Discrepancies exist between perceived journal prestige and citation-based rankings.
- Inappropriate use of journal rankings for evaluating researcher impact is a significant concern.
Purpose of the Study:
- To analyze cross-citation patterns among selected statistics journals.
- To assess the utility of citation data for identifying prestigious journals.
- To investigate the relationship between journal citation metrics and institutional research quality.
Main Methods:
- Analysis of a cross-citation table for statistics journals.
- Data sourced from the Web of Science database (Thomson Reuters).
- Comparison with UK's Research Assessment Exercise institutional ratings.
Main Results:
- Modeling citation exchange effectively highlights prestigious journals within statistics.
- Journal citation data exhibit considerable heterogeneity, necessitating careful summarization.
- Strong aggregate-level correlation observed between assessed research quality and journal citation 'export scores'.
Conclusions:
- Citation data modeling is valuable for identifying leading statistics journals.
- Caution is advised to prevent overinterpretation of minor differences in journal ratings.
- Journal citation 'export scores' align with institutional research quality at a macro level in statistics.
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