Abstract
The evaluation of their research work and its effect has always been one of scholars’ greatest concerns. The use of citations for that purpose, as proposed by Eugene Garfield, is nowadays widely accepted as the most reliable method. However, gathering a scholar’s citations constitutes a particularly laborious task, even in the current Internet era, as one needs to correctly combine information from miscellaneous sources. There exists therefore a need for automating this process. Numerous academic search engines try to cover this need, but none of them addresses successfully all related problems. In this paper we present an approach that facilitates to a great extent citation analysis by taking advantage of new algorithms to deal with these problems.
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Papadakis, G., Paliouras, G. (2008). MyCites: An Intelligent Information System for Maintaining Citations. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_35
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DOI: https://doi.org/10.1007/978-3-540-87881-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87880-3
Online ISBN: 978-3-540-87881-0
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