Co-Citation Analysis
Co-citation analysis examines the frequency with which two articles are cited together, offering insights into intellectual linkages and foundational research areas. Co-citation clusters reveal influential themes and relationships between authors or studies.
Example:
Using CiteSpace, analyze articles frequently co-cited with:
- Smith et al. (2020) Title: A Review of AI Applications in Restorative Dentistry. Journal: International Journal of Prosthodontics. DOI: 10.11607/ijp.12345
In CiteSpace, clusters may reveal co-citation links between Smith et al. (2020) and seminal works like:
- Authors: Fehringer et al. Title: Machine learning in dental prosthetics: Applications and Challenges. Journal: Journal of Dental Science and Practice. DOI: 10.1016/j.jdsp.2020.1234
The analysis could indicate that AI applications in prosthetics are pivotal in dentistry, connecting multiple disciplines.
Understanding Co-Citation Analysis and Its Potential Co-citation analysis is a powerful technique to map the intellectual structure of a field.
By identifying which articles are frequently cited together, we can uncover hidden connections, influential works, and emerging trends.
Your example effectively demonstrates how co-citation analysis can be used to explore the relationship between a specific article (Smith et al., 2020) and other key works in the field of restorative dentistry. By visualizing the co-citation clusters, we can gain insights into the broader context of the research and identify potential areas for future investigation. Potential Applications of Co-Citation Analysis
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