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A framework to explore the knowledge structure of multidisciplinary research fields.

Shahadat Uddin1, Arif Khan1, Louise A Baur2

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Summary
This summary is machine-generated.

This study introduces a new method for retrieving and analyzing online research data to map the knowledge structure of emerging scientific fields. It visualizes 20 years of obesity research, aiding researchers and policymakers.

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Area of Science:

  • Bibliometrics
  • Information Science
  • Obesity Research

Background:

  • Understanding emerging research areas is vital for researchers and policymakers.
  • Longitudinal knowledge structures from bibliographic data are effective but challenging to derive.
  • Vast online information complicates knowledge structure analysis.

Purpose of the Study:

  • To present a novel approach for retrieving online bibliographic data.
  • To propose a framework for exploring knowledge structures.
  • To analyze and visualize 20 years of obesity research data.

Main Methods:

  • Developed a novel approach for online bibliographic data retrieval.
  • Proposed a framework for knowledge structure exploration.
  • Conducted longitudinal analyses on obesity research publications.

Main Results:

  • Successfully retrieved and processed extensive online bibliographic data.
  • The proposed framework enables effective exploration of research knowledge structures.
  • Visualized the evolution of obesity research over the past two decades.

Conclusions:

  • The novel approach and framework facilitate understanding of complex research landscapes.
  • Longitudinal analysis of bibliographic data provides valuable insights into scientific trends.
  • This work aids stakeholders in navigating and interpreting multidisciplinary research, specifically in obesity.