Citations Profile and the Complexity of Innovation

Patent or article citations reflect the consequences of a published idea on the discovery of new ideas. We draw a simple theoretical model predicting that the shape of the future citations of an idea can reveal the complexity of its innovative research spillover. We apply this method to the patent forward citations in the US industries.

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Year of publication:	2008-08
Authors:	Cozzi, Guido ; Schettino, Francesco
Institutions:	Department of Economics, Adam Smith Business School
Subject:	Patent Forward Citations \| Technological Complexity \| Skewness

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Classification:	O31 - Innovation and Invention: Processes and Incentives ; O33 - Technological Change: Choices and Consequences; Diffusion Processes
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005687344