Abstract
Promoting knowledge diffusion and reducing the delay between scientific research and technology patents is important to achieve success in the highly competitive global environment. This paper studies the time delay between scientific research and technology patents, and focuses on the key components of time in the promotion of knowledge transformation. Based on United States Patent and Trademark Office patent data, we apply periodical citation distribution models to the patent process. The results show that our transfer function model is better than others, and is suitable for calculating the delay between basic scientific research activities and technology patents.
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Zhang, G., Feng, Y., Yu, G. et al. Analyzing the time delay between scientific research and technology patents based on the citation distribution model. Scientometrics 111, 1287–1306 (2017). https://doi.org/10.1007/s11192-017-2357-3
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DOI: https://doi.org/10.1007/s11192-017-2357-3