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Statistics in everyone's backyard: An impact study via citation network analysis.

Lijia Wang1, Xin Tong2, Y X Rachel Wang3

  • 1Department of Mathematics, University of Southern California, Los Angeles, CA 90007, USA.

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Statistical innovations are increasingly impacting diverse scientific fields. This study analyzes citation data to identify emerging trends and the influence of new statistical methods on research across disciplines.

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citation network of statistics publicationscitation trendsconductanceexternal impact of statistics publicationslocal clusteringpersonalized PageRank

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Area of Science:

  • Interdisciplinary scientific research
  • Data-driven discovery
  • Statistical methodology application

Background:

  • Statistical methodologies are crucial for scientific advancement.
  • The impact of recent statistical innovations on other fields is not well understood.
  • Bibliometric analysis provides a quantitative approach to assess research impact.

Purpose of the Study:

  • To investigate the impact of recent statistical innovations on other scientific fields.
  • To analyze citation trends and the diversity of citing fields over time.
  • To develop a method for identifying relevant statistical innovations for specific external topics.

Main Methods:

  • Collection of bibliometric data from the Web of Science database for statistical journals.
  • Analysis of citation trends and composition of citing fields.
  • Application of a local clustering technique with personalized PageRank and graph conductance for topic relevance.
  • Case studies to validate findings.

Main Results:

  • Evidence of increasing citation diversity from statistical journals into other scientific fields.
  • Identification of specific statistical innovations relevant to external topics through clustering.
  • Validation of citation analysis results through case studies, aligning with expert knowledge.

Conclusions:

  • Statistical theory and methods developed by the statistics community are having a growing impact on other scientific disciplines.
  • The study provides a framework for understanding and quantifying the interdisciplinary influence of statistical research.
  • Future research can leverage these methods to track the adoption of novel statistical techniques across science.