Dissemination Patterns of Technical Knowledge in the IR Industry: Scientometric Analysis of Citations in IR-related Patents
Ricardo Eito-Brun (Universidad Carlos III de Madrid, Spain)
The purpose of this paper is to identify the most influential institutions and journals on information retrieval and text mining through the analysis of the citations in the patents issued in the period between 1990 and 2013.
Bibliographic citations received by different academic journals in a representative set of patents related to the text mining area are analyzed applying sound and consolidated statistical techniques. Besides identifying the most influential academic journals, conferences and institutions in the period under study, the conclusions of this research are also useful to identify the most relevant and productive organizations (those with a higher number of patents) and those organizations whose patents have received a major number of citations.
The analysis also permits to obtain a general view of the disseminations patterns in the consumption of the products of academic and technical research. The period under study offers interesting conclusions regarding the impact of the Web on the Intellectual Property Rights (IPR) strategies of companies building Information Retrieval and Text Mining software solutions, and how the information retrieval and access industry has evolved in the recent years.