Patent citation analysis.A closer look at the basic input data from patent search reports
By J. Michel, Bernd Bettels. Scientometrics, 2001
364 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management of Technology and Innovation, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/000d1b7200079ad961aaeccf6c355fae903ba0f7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Francesco Lissoni
- Stefano Breschi
- Andrew J. Nelson
- Rajneesh Narula
- Bhaven N. Sampat
- Paola Criscuolo
- Bart Verspagen
- Michelle Gittelman
In Management of Technology and Innovation
- Bhaven N. Sampat
- Andrew J. Nelson
- Stefano Breschi
- Michelle Gittelman
- Francesco Lissoni
- Bart Verspagen
- Geert Duysters
- Paola Criscuolo
In Strategy and Management
- Geert Duysters
- Andrew J. Nelson
- Rajneesh Narula
- John Hagedoorn
- Francesco Lissoni
- Stefano Breschi
- Myriam Cloodt
- Paola Criscuolo
Citations in the corpus
- Explorative and Exploitative Learning from External Corporate Ventures (2005, background): “Unlike European and Japanese patent offices, U.S. Patent and Trademark Office generally includes citations to a broad range of relevant prior patents beyond the most crucial inventions (Michel & Bettels, 2001).”
- Knowledge networks from patent data: Methodological issues and research targets (2004, background): ““According to the EPO philosophy a good search report contains all the technically relevant information within a minimum number of citations” ( Michel and Bettels, 2001, p.189 ).”
- Mobility of Skilled Workers and Co-Invention Networks: An Anatomy of Localized Knowledge Flows (2009, background): “In short, EPO citations are of better quality than USPTO ones [for a more detailed discussion along these lines, see Breschi and Lissoni (2004) and Michel and Bettels (2001)].14 At the same time, the use of EPO data may impose some limitations on our results; we come back to them in Section 5.1.”
- Inventive progress measured by multi-stage patent citation analysis (2005, methodology): “In the end, this leads to US search reports that have mor of the characteristics of a documentary search than that of patentability search (Michel and Bettels, 2001).”
- Science dependence of technologies: evidence from inventions and their inventors (2002, result): “…views—amongst inventors about what scientific research actually constitutes. rigorous in enforcing disclosure of prior art, are considered the main reasons why USPTO patents tend to contain an order of magnitude more NPCs than comparable EPO/PCT patents (see e.g. Michel and Bettels, 2001).”
- Knowledge Spillovers from Clean and Dirty Technologies (2014, background): “…and citing-cited patent pairs might be ’closer’ both in time and technological content than those extracted from the USPTO [Breschi and Lissoni (2005); Michel and Bettels (2001)] 11 examiners are responsible for 63% of citations on the average patent, and that 40% of patents have all citations…”
- International Knowledge Diffusion and Home‐bias Effect: Do USPTO and EPO Patent Citations Tell the Same Story?* (2010, neutral): “Turning to EPO citations, Maruseth and Verspagen (2002) use a crosssection of 112 European regions to show that EPO patent citations are geographically localized.”
- Measuring innovative performance: is there an advantage in using multiple indicators? (2003, background): “Patent specialists are somewhat sceptical about the counting of patent citations without the necessary underlying citation reports that accompany each patent (Michel and Bettels, 2001).”