
AbstractThe 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.
BB. Bibliometric methods, EZ. None of these, but in this section.
BB. Bibliometric methods, EZ. None of these, but in this section.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
