This project will analyze a vast set of Open Access research publications using Natural Language Processing and social network analysis methods to identify patterns in the behavior of research communities, to recognize trends in research disciplines, to learn new insights about the citation behaviors of researchers and to discover features that distinguish papers with high impact. This will enable the development of better methods for exploratory search and browsing in digital collections or new ways of evaluating research or the researcher’s impact.