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Updated: Jun 26, 2025

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Bibliometric analysis: A few suggestions.

Waseem Hassan1, Antonia Eliene Duarte2

  • 1Institute of Chemical Sciences, University of Peshawar, Peshawar, Khyber Pakhtunkhwa 25120, Pakistan.

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Summary

Bibliometric analysis (BA) offers insights into research trends. This review suggests enhancing BA by including citation data, diverse researcher performance indicators, and dynamic keyword analysis for a more comprehensive understanding of scientific fields.

Keywords:
Authors performanceBibliometric analysisCo-words analysisYearly production

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Area of Science:

  • Bibliometrics
  • Scientometrics
  • Research Evaluation

Background:

  • Scientific production is growing exponentially, making bibliometric analysis (BA) crucial for understanding research dynamics.
  • Traditional BA methods often lack depth in evaluating research impact and researcher performance.

Purpose of the Study:

  • To provide actionable tips for enhancing bibliometric analysis.
  • To broaden the scope of researcher evaluation beyond traditional metrics.
  • To introduce dynamic keyword analysis alongside traditional co-word analysis.

Main Methods:

  • Review of existing bibliometric analysis procedures.
  • Incorporation of citation counts and h-index per year for nuanced productivity assessment.
  • Exploration of alternative performance indicators for researcher evaluation.
  • Introduction of keyword dynamics and trends analysis.

Main Results:

  • Suggests moving beyond simple publication counts to include per-year citations and total h-index for a richer perspective.
  • Advocates for a wider range of performance indicators to evaluate researchers comprehensively.
  • Proposes incorporating keyword dynamics and trends into co-word analysis for deeper thematic insights.

Conclusions:

  • Enhanced bibliometric analysis provides a more nuanced understanding of research fields and productivity.
  • A broader set of metrics is essential for accurate researcher performance evaluation.
  • Integrating dynamic keyword analysis can reveal deeper thematic relationships within publications.