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handle: 10261/223279 , 10261/171904
The aim of this paper is to describe a matching and disambiguation methodology for the identification of author-inventors located in the same country. It aims to maximize precision and recall rates by taking into account national name writing customs in the name matching stage and by including a recursive validation step in the person disambiguation stage. An application to the identification of Spanish author-inventors is described in detail, where all SCOPUS 2003-2008 publications of Spanish authors are matched to all 1978-2009 EPO applications with Spanish inventors. Using this data, we identify 4,194 Spanish author-inventors. A first look at their patenting and publication patterns reveal that Spanish author-inventors make quite a significant contribution to the overall country’s scientific and technological production in the time periods considered: 27% of all EPO patent applications invented in Spain and 15% of all SCOPUS scientific articles authored in Spain, with important differences across fields and excluding journals in non-technologically relevant fields.
Peer reviewed
Academic patenting, Name-game, Authors-inventors, Public research organisations, Science–technology links, Author–inventors, Spain, SCOPUS, Matching, Disambiguation, PATSTAT
Academic patenting, Name-game, Authors-inventors, Public research organisations, Science–technology links, Author–inventors, Spain, SCOPUS, Matching, Disambiguation, PATSTAT
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 58 | |
| downloads | 110 |

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