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Bibliometric Analysis of Information Theoretic Studies.
Weng Hoe Lam1, Weng Siew Lam1, Saiful Hafizah Jaaman2
1Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, Kampar 31900, Perak, Malaysia.
Entropy (Basel, Switzerland)
|July 8, 2023
Summary
Bibliometric analysis reveals steady growth in information theory research since 2003. The field is shifting towards technology applications like machine learning, with the US leading publications and citations.
Area of Science:
- Information theory
- Statistical analysis
- Bibliometrics
Background:
- Information theory quantifies stochastic uncertainty, originating in communication theory.
- Its applications have expanded across diverse scientific and technological fields.
- Bibliometric analysis provides insights into research trends and impact.
Purpose of the Study:
- To conduct a bibliometric analysis of information theory publications.
- To identify publication trends, key research areas, geographical contributions, and collaboration patterns.
- To map the evolution and future directions of information theoretic approaches.
Main Methods:
- Data extraction of 3701 documents from the Scopus database.
- Analysis using Harzing's Publish or Perish and VOSviewer software.
- Examination of publication growth, subject areas, citations, co-authorship, and keyword co-occurrence.
Main Results:
- Steady publication growth observed since 2003.
- The United States dominates publications and citations; computer science, engineering, and mathematics are key areas.
- High collaboration exists between the US, UK, and China; a trend towards machine learning and robotics applications is evident.
Conclusions:
- Information theory research shows consistent growth and increasing interdisciplinary application.
- The field is transitioning from theoretical models to practical, technology-driven areas.
- This analysis provides a comprehensive overview for researchers navigating the evolving landscape of information theory.
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