The h-index is an index that measures productivity and citation impact of the published work but it has been criticized because it does not consider context of citation and reason behind citation. This indicates that there is a need for an improved h-index by a new approach which includes important citations received by a paper instead of the whole list of citations. Citation classification is an emerging area of research that categorizes citations based on the purpose behind the citation.To perform citation classification there is need of a standard set of classes called as classification scheme. Such standard scheme is not available so we aim to generate a citation classification scheme automatically i.e. by using hierarchical clustering. The clustering is performed by using similarity vectors. The main contribution of this research is to generate similarity distance matrix of keywords and verbs extracted from the citation sentences with the help of WordNet.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.