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Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Control Chart for Qualitative Variables: a method based on the use of Linguistic Quantifier
Carte di Controllo per variabili qualitative: un metodo basato sull’uso di quantificatori linguistici
Acceleration of Time-Domain Nodal-Analysis of Partial Element Equivalent Circuits Through Multiscale Compressed Decomposition
Efficient Frequency-Domain Analysis of PEEC Circuits Through Multiscale Compressed Decomposition
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