Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010)

By Guan-Cheng Li, Ronald K. Lai, A. D'Amour, David Doolin, Ye Sun, Vetle I. Torvik, Amy Zhao Yu, Lee Fleming. 2014

569 citations recorded by the source corpus.

Subfields: Management of Technology and Innovation, Statistics and Probability, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/f1b695ea72a991b480740744c1167b19e1b5f9e5

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In Management of Technology and Innovation

In Statistics and Probability

In Strategy and Management

Citations in the corpus

Global Collaborative Patents (2018, unknown): “We rely on the work of Li et al. (2014), which uses name disambiguation techniques to probabilistically assign unique inventor identifiers.”
The Real Effect of Smoking Bans: Evidence from Corporate Innovation (2018, unknown): “We obtain information on individual inventors from the U.S. Patent Inventor Database (Li et al., 2014).”
Roads and Innovation (2017, unknown): “Moretti (2011) documents that after adjusting for skill composition, average wages in the highest- and lowest-paying US metropolitan areas differ by approximately a factor of three.”
How does hedge fund activism reshape corporate innovation? (2016, unknown): “10 Covering the period from 1991 to 2010, this database provides the names of the inventors (the individuals who receive credit for producing a patent) and their affiliations with the assignees, thus enabling us to track their mobility (see Lai et al., (2014) for details).”
Complex economic activities concentrate in large cities (2018, unknown): “patial distribution of patents, research papers, industries, and occupations in 353 Metropolitan Statistical Areas (MSAs) of the United States. For recent patents, we use the Patent Network Dataverse (15), providing longitude and latitude coordinates of inventor addresses for patents granted by the ”
Global technological collaboration network: network analysis of international co-inventions (2012, background): “…of this type of analysis has been made to, for example, patent (Breschi and Lissoni 2004; Cantwell and Santangelo 2000; Chao-Chih 2009; Han and Park 2006; Lai et al. 2011; Stefano and Francesco 2004) and bibliometric data (Glänzel and Schubert 2005; Glänzel et al. 1999; Kretschmer 2004).”
Climbing the Ladder of Technological Development (2017, unknown): “Data on patenting activity was obtained from the “Patent Network Dataverse” developed by the Institute for Quantitative Social Science at Harvard University (Li et al., 2014) using original data from the USPTO .”