  The deluge of new papers has significantly blocked the development of
academics, which is mainly caused by author-level and publication-level
evaluation metrics that only focus on quantity. Those metrics have resulted in
several severe problems that trouble scholars focusing on the important
research direction for a long time and even promote an impetuous academic
atmosphere. To solve those problems, we propose Phocus, a novel academic
evaluation mechanism for authors and papers. Phocus analyzes the sentence
containing a citation and its contexts to predict the sentiment towards the
corresponding reference. Combining others factors, Phocus classifies citations
coarsely, ranks all references within a paper, and utilizes the results of the
classifier and the ranking model to get the local influential factor of a
reference to the citing paper. The global influential factor of the reference
to the citing paper is the product of the local influential factor and the
total influential factor of the citing paper. Consequently, an author's
academic influential factor is the sum of his contributions to each paper he
co-authors.

Digital Libraries;Information Retrieval