
doi: 10.1093/llc/fqu018
The stereotype of the multi-authored Digital Humanities paper is well known but has not, until now, been empirically investigated. Here we present the results of a statistical analysis of collaborative publishing patterns in Computers and the Humanities (CHum) (1966-2004); Literary and Linguistic Computing (LLC) (1986-2011); and, as a control, the Annals of the Association of American Geographers (AAAG) (1966-2013) in order to take a first step towards investigat- ing concepts of 'collaboration' in Digital Humanities. We demonstrate that in two core Digital Humanities journals, CHum and LLC, single-authored papers predominate. In AAAG, single-authored papers are also predominant. In regard to multi-authored papers the statistically significant increases are more wide- ranging in AAAG than in either LLC or CHum, with increases in all forms of multi-authorship. The author connectivity scores show that in CHum, LLC, and AAAG, there is a relatively small cohort of authors who co-publish with a wide set of other authors, and a longer tail of authors for whom co-publishing is less common.
| 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). | 28 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
