Identifying Anomalous Citations for Objective Evaluation of Scholarly Article Impact

Identifying Anomalous Citations for Objective Evaluation of Scholarly Article Impact

Evaluating the impact of a scholarly article is of great significance and has attracted great attentions. Although citation-based evaluation approaches have been widely used, these approaches face limitations e.g. in identifying anomalous citations patterns. This negligence would inevitably cause unfairness and inaccuracy to the article impact evaluation. In this study, in order to discover the...

Purposeful Searching for Citations of Scholarly Publications

Citation data contains the citations among scholarly publications. The data can be used to find relevant sources during research, identify emerging trends and research areas, compute metrics for comparing authors or journals, or for thematic clustering. Manual administration of citation data is limited due to the large number of publications. In this work, we hence lay the foundations for the a...

Semantic Annotation of Scholarly Documents and Citations

Scholarly publishing is in the middle of a revolution based on the use of Web-related technologies as medium of communication. In this paper we describe our ongoing study of semantic publishing and automatic annotation of scholarly documents, presenting several models and tools for the automatic annotation of structural and semantic components of documents. In particular, we focus on citations ...

Self Citations , Impact Factor , Journal Influence and Article Influence

Characterising Citations in Scholarly Articles: An Experiment

This work presents some experiments in letting humans annotate citations according to CiTO, an OWL ontology for describing the function of citations. We introduce a comparison of the performance of different users, and show strengths and difficulties that emerged when using that particular model to characterise citations of scholarly articles.