Ranking Papers by Expected Short-Term Impact

The number of published scientific papers has been constantly increasing in the past decades. As several papers can have low impact or questionable quality, identifying the most valuable papers is an important task. In particular, a key problem is being able to distinguish among papers based on their short-term impact, i.e., identify papers that are currently more popular and would be cited more frequently in the future than others. Consequently, a multitude of methods that attempt to solve this problem have been presented in the literature. In this chapter, we examine methods that aim at, or have been evaluated based on, ranking papers by their expected shortterm impact. First, we formally define the related ranking problem. Then, we present a high-level overview of current approaches, before presenting them in detail. We conclude by discussing previous findings regarding the effectiveness of all studied methods, and give pointers to related lines of research.

Authors and Affiliations

1. Athena Research Center, Athens, Greece

   Ilias Kanellos & Thanasis Vergoulis

2. Université Libre de Bruxelles, Bruxelles, Belgium

   Dimitris Sacharidis

Corresponding author

Correspondence to Ilias Kanellos .

Editors and Affiliations

1. Open University of Cyprus, Nicosia, Cyprus

   Yannis Manolopoulos

2. Information Management Systems Institute, Marousi, Greece

   Thanasis Vergoulis

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