2022
DOI: 10.1080/10438599.2022.2065634
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Gender differences among innovators: a patent analysis of stars

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Cited by 4 publications
(4 citation statements)
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“…Building networks based on the most prolific inventors helped us to perform a more in-depth analysis with a geographical distribution of higher patenting productivity. Focusing on prolific inventors is justified in the literature [ 59 ] as they show more longevity and stronger innovation output, also patents of such inventors are more collaborative; therefore, such networks show better connectedness and are more feasible for the social network analysis. We assigned the patents to geographic locations using the inventors’ respective affiliation address.…”
Section: Methodsmentioning
confidence: 99%
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“…Building networks based on the most prolific inventors helped us to perform a more in-depth analysis with a geographical distribution of higher patenting productivity. Focusing on prolific inventors is justified in the literature [ 59 ] as they show more longevity and stronger innovation output, also patents of such inventors are more collaborative; therefore, such networks show better connectedness and are more feasible for the social network analysis. We assigned the patents to geographic locations using the inventors’ respective affiliation address.…”
Section: Methodsmentioning
confidence: 99%
“…therefore even though women are more focused on their local situations, exposure to global collaborations and approaches can empower them to find better solutions to their challenges. Moreover, recent literature also indicates that the participation of women in inventors’ teams supports a faster career progress to becoming a prolific inventor and producing high quality innovations [ 59 ]. Thus, the participation of women in the innovation networking process is important for innovations produced by men too.…”
Section: Gender-related Aspects Of Co-inventor Network and Their Impl...mentioning
confidence: 99%
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“…INCOPAT is a patent database platform with independent intellectual property rights and more than 100 million global patent data; it contains basic data from trials in more than 70 countries and regions; it synthesizes data about homologations, citations, assignments, licenses, encumbrances, industrial and trade enterprises, customs records, standard patents, etc. ; it has a wide range of search and statistical analysis fields, 340 search fields, 105 filtering fields, 80 custom analysis fields, 145 download fields, allowing users to combine multi-dimensional searches to improve search speed; it combines several functional modules, such as intelligent patent search, large database analysis, batch downloads and so on (Ma et al, 2018;Caviggioli, Colombelli, & Ravetti, 2023;Yang et al, 2023).…”
Section: Patent Analysismentioning
confidence: 99%