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Delayed Recognition: A Co-Citation Perspective
Wenxi Zhao1, Dmitriy Korobskiy1, George Chacko1,2,3
1Netelabs, NET ESolutions (an NTT DATA Company), McLean, VA, United States.
This study identifies 1,196 "Sleeping Beauty" co-citations, where new ideas from combined research are initially ignored but later gain significant recognition. Understanding this delayed impact is crucial for scientific progress.
Area of Science:
- Bibliometrics
- Scientometrics
- Information Science
Background:
- Publications can experience delayed recognition, termed 'Sleeping Beauties'.
- This phenomenon is often attributed to resistance to novel concepts or interdisciplinary insights.
Purpose of the Study:
- To investigate 'Sleeping Beauty' phenomena specifically within co-citation networks.
- To quantify and characterize delayed recognition of novel ideas emerging from the synthesis of existing research.
Main Methods:
- Analysis of a large dataset comprising over 940 million unique co-cited article pairs.
- Application of stringent selection criteria to identify co-citation events.
- Classification of identified cases based on citation amplitude, rate, and disciplinary origin.
Main Results:
- Identification of 1,196 instances of delayed co-citations.
- Characterization of these cases across various metrics, revealing patterns in their delayed recognition.
Conclusions:
- Co-citation analysis reveals a significant number of 'Sleeping Beauty' phenomena.
- Understanding the dynamics of delayed recognition in co-citations can inform strategies for promoting impactful research.
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