A bibliometric mapping analysis of the literature on patent analysis

Abstract

The literature on patent analysis is quite extensive, containing a wide variety of studies. The idea has been widely discussed in the literature in recent years as innovation and globalization have increased in frequency in studies. The literature does not contain any research that integrates content analysis with bibliometric mapping analysis, despite the fact that a number of studies have been conducted on the subject. Hence, within the parameters of this study, a bibliometric mapping analysis of 1006 papers covering “patent analysis" and indexed in the Web of Science database, as well as a content analysis of the 50 most cited papers, was conducted. Therefore, this paper aims to determine the common words, keywords, journals published, authors, and universities of affiliation of 1006 studies, focusing on the 50 most cited studies. The study shows that “technology" is most frequently used as a word in summary and keywords. The reason for this can be explained by the fact that technology has the greatest impact on patenting. This study provides authors working in this area with a guide that identifies journals, institutions, authors, and works with high efficiency in patent analysis.