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Daniel K. N. Johnson
Researcher at Colorado College
Publications - 93
Citations - 1638
Daniel K. N. Johnson is an academic researcher from Colorado College. The author has contributed to research in topics: Agriculture & Medal. The author has an hindex of 23, co-authored 92 publications receiving 1541 citations. Previous affiliations of Daniel K. N. Johnson include Wellesley College & Yale University.
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The OECD Technology Concordance (OTC): Patents by Industry of Manufacture and Sector of Use
TL;DR: The OECD Technology Concordance (OTC) as discussed by the authors is a tool that bridges definitions, allowing researchers to transform IPC-based patent data into patent counts by sector of the economy.
Journal ArticleDOI
A tale of two seasons : Participation and medal counts at the summer and winter Olympic Games
Daniel K. N. Johnson,Ayfer Ali +1 more
TL;DR: This paper examined all postwar Summer and Winter Olympic Games in order to investigate the economic and political determinants of participation and medal-winning success and found that Olympic participation levels are driven more by income and less by population, have less host nation bias, and a greater effect of climate.
Journal ArticleDOI
A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games
TL;DR: This article examined the economic and political determinants of national participation, female participation in particular, and success at the Olympic Games (i.e., medal counts) in the post-war Summer and Winter Olympic Games.
Journal ArticleDOI
Time In Purgatory: Examining the Grant Lag for U.S. Patent Applications
TL;DR: In this article, the authors use data on U.S. patent applications and grants to ask who is affected by longer grant lags, and they augment this analysis with interviews of patent examiners, leading to a better understanding of the examination process.
Posted Content
Forced Out of the Closet: The Impact of the American Inventors Protection Act on the Timing of Patent Disclosure
TL;DR: In this paper, the authors used U.S. patent data from 1976-1996 and found that major inventions are most likely to be affected, as they take longer to go through the application process.