1,721,082 research outputs found
Relationship of personality to performance motivation: A meta-analytic review
No abstract availabl
Everyday working life: Explaining within-person fluctuations in employee well-being
No abstract availabl
Cross-cultural construct validity of the five-factor model of personality among Korean employees
No abstract availabl
Employee well-being: A multilevel model linking work and nonwork domains
No abstract availabl
Hostility, job attitudes, and workplace deviance: Test of a multilevel model
No abstract availabl
Darwinism, behavioral genetics, and organizational behavior: A review and agenda for future research
No abstract availabl
Intelligence and leadership: A quantitative review and test of theoretical propositions
No abstract availabl
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
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