
In year 2004 Aguillo and colleagues launched the Webometrics Ranking of World's Universities (www.webometrics.info), the ranking of universities by their presence on the Internet with the aim of promoting and enriching the content of university web pages. This paper presents research which gathered data for 12.000 universities using Aguillo’s methodology. Data analysis revealed shortcomings in the implementation of the algorithm used by Aguillo et al. for ranking of world universities, which negatively influenced ranking of 768 world universities (6.4% of universities represented in ranking). Shortcomings in implementation will be demonstrated on example of University of Zagreb. It will be presented that by correct application of the algorithm, ranking of affected universities extremely improves, which changes overall ranking of other universities.
webometrics, university ranking; webometrics, university ranking
webometrics, university ranking; webometrics, university ranking
| 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). | 3 | |
| 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 |
