Extracting and Visualizing Research Impact Semantics

Citation lists and metrics applied on them are considered a leading indication of a researcher´s scientific impact. In this work we consider the publication outlet where citing papers are published in order to extract a deeper understanding of a researcher´s scientific impact. Topics´ graph, journal associations with the topics´ graph and researchers´ impacts are all stored in (fuzzy) ontological structures. The results are obtained in the form of distributed impact metrics, which we then visualize in a suitable and intuitive manner. We report on preliminary results and outline our ongoing and future work towards the development of an integrated system and of reusable widgets, respectively, that implement the proposed ideas.