Template-type: ReDIF-Paper 1.0
Author-Name: Cyril Verluise
Author-Workplace-Name: QuantumBlack
Author-Name: Gabriele Cristelli
Author-Workplace-Name: London School of Economics
Author-Name: Kyle Higham
Author-Workplace-Name: Motu Economic and Public Policy Research
Author-Name: Gaetan de Rassenfosse
Author-Workplace-Name: Ecole polytechnique federale de Lausanne
Title: Beyond the front page: In-text citations to patents as traces of inventor knowledge
Abstract: This study introduces in-text patent-to-patent citations—references embedded in the body of patent documents—as a novel data source to trace knowledge flows. Unlike front-page citations, which often reflect legal requirements, in-text citations are more likely to originate from inventors and signal meaningful technological linkages. We show that they exhibit stronger geographic and semantic proximity, greater self-referentiality, and closer alignment with inventor knowledge. Though less frequent than front-page citations, they yield robust results in models of knowledge diffusion. We release a validated dataset and reproducible code to support future research. Our findings offer new opportunities for strategy scholars interested in the microfoundations of innovation, the geography of knowledge flows, and the role of inventors in shaping firms’ knowledge trajectories.
Classification-JEL: O31; O33; R12; C81; D83
Keywords: citation; patent; knowledge flow; open data; spillover
Length: 32 pages
Creation-Date: 2025-10
File-URL:  https://cdm-repec.epfl.ch/iip-wpaper/WP30.pdf
File-Format: application/pdf
Handle:  RePEc:iip:wpaper:30