Patent statistics: deciphering a ‘real’ versus a ‘pseudo’ proxy of innovation

By C. Watanabe, Youichirou S. Tsuji, C. Griffy-Brown. 2001

137 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Do Important Inventions Benefit from Knowledge Originating in Other Technological Domains (2012, methodology): “…in detail, the definition of what constitutes a patent in the U.S. has changed little for over 200 years, and every patent is categorized by experts using a standard classification scheme (Griliches, 1990; Watanabe et al., 2001; Jaffe and Trajtenberg , 2002; Hall et al., 2005; Popp, 2005).”
Forecasting emerging technologies: Use of bibliometrics and patent analysis (2006, background): “Some examples include patent citation indices and regression models [8,11,12].”
An econometric analysis of asymmetric volatility : Theory and application to patents (2007, background): “…2001); the effectiveness of patents versus secrets in innovation (Arundel, 2001); overseas innovations by Japanese firms (Belderbos, 2001); the Canadian biotechnology industry (Hall and Bagchi-Sen, 2002); and the analysis of Canon’s printers and Sanyo’s photovaltaics (Watanabe et al., 2001).”