Coloring citations for scholars: investigating palettes

Citations within academic literature keep gaining more importance both for the work of scholars and for improving digital libraries related tools and services. We present in this paper the preliminary results of an investigation on the characterizations of citations whose objective is to propose a framework for globally enriching citations with explicit information about their nature, role and characteristics. This article focuses on the model we have built to support the automatic analysis of large corpuses of citations. This model is grounded on a literature review also detailed here, and has been submitted to a group of several hundreds of scholars of all disciplines in the form of a survey. The results show that our model covers the most important aspects of the characterization of citations with some domain specific insights that are also addressed in this paper.