Citation network based framework for ranking academic Publications and venues

Abstract

Impact of Publication venues are the key consideration for researchers who aim for maximum possible visibility for their work. The number of publication venues has been increasing yearly, making it difficult for researchers to get an idea about publication venues. Most of the existing methods use citation count as the metric to measure the reputation of publication venues which does not take into account the quality of citations. If publication venue ranking scores are measured successfully, then the researchers can take their own decision about a particular publication venue much quicker and easier based on this mechanism. We propose a novel approach for ranking publication venues by considering publication history. Our approach is completely based on the citation network represented by the publications. In our publication ranking method, there are many aspects that contribute to the importance of a publication, including the citations it has received, the quality of the citing publications, the time metric and its authors. The experimental results show that our publication ranking method reduces the bias against more recent publications, which only have a few or zero citations.