A new approach to bibliometrics based on semantic similarity of scientific papers

During the past decades, the deficiency of support tools' for scientific research assessment policies led to applications development, focused on integrating citation complementary information: online usage statistics (webometrics/cybermetrics) and content analysis. However, due to lack of effective technical solutions, bibliometric data suppliers have refused to promote alternatives to the renowned and worn impact factor, with all its derivatives. The present research unveils enhanced bibliometrical tools, meeting comunity's needs and proposing an automatic solution to evaluate the scientific relevance of a research article, in a particular research field, in relation with all the citing works. This process resorts to semantic processing and conceptual similarity analysis, proved to be superior to solutions already abandoned, based on lexical analysis.