
handle: 10722/44007
Author Co-citation Analysis (ACA) is an established method for identifying the different components of a discipline by mapping patterns of publication. ACA techniques have been applied and refined for over 30 years. They can be applied to any discipline or sub-discipline which has a substantial body of published literature. Mr Warning will discuss some of the techniques and illustrate their application, and the conclusions that can be drawn from them, using examples from his previous research.
Peter Warning is a new lecturer in the Information & Technology Division. He comes from an LIS background. Over the past decade he has undertaken a number of author co-citation analyses (ACA).
Centre for Information Technology in Education, University of Hong Kong
published_or_final_version
| 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). | 0 | |
| 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 |
