University rankings in computer science: A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores
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University rankings in computer science : A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores. / Ehret, Philip; Zuccala, Alesia Ann; Gipp, Bela.
International Society for Scientometrics and Informetrics (ISSI). 2017.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - University rankings in computer science
T2 - International Society for Scientometrics and Informetrics
AU - Ehret, Philip
AU - Zuccala, Alesia Ann
AU - Gipp, Bela
N1 - Conference code: 16th
PY - 2017
Y1 - 2017
N2 - This is a research-in-progress paper concerning two types of institutional rankings, the Leiden and QS World ranking, and their relationship to a list of universities’ ‘geo-based’ impact scores, and Computing Research and Education Conference (CORE) participation scores in the field of computer science. A ‘geo-based’ impact measure examines the geographical distribution of incoming citations to a particular university’s journal articles for a specific period of time. It takes into account both the number of citations and the geographical variability in these citations. The CORE participation score is calculated on the basis of the number of weighted proceedings papers that a university has contributed to either an A*, A, B, or C conference as ranked by the Computing Research and Education Association of Australasia. In addition to calculating the correlations between the distinct university rankings and the separate ‘geo-based’ versus CORE scores, we are in the process of developing a geographical visualization tool that presents the metrics so that they may be examined in an explorative way.
AB - This is a research-in-progress paper concerning two types of institutional rankings, the Leiden and QS World ranking, and their relationship to a list of universities’ ‘geo-based’ impact scores, and Computing Research and Education Conference (CORE) participation scores in the field of computer science. A ‘geo-based’ impact measure examines the geographical distribution of incoming citations to a particular university’s journal articles for a specific period of time. It takes into account both the number of citations and the geographical variability in these citations. The CORE participation score is calculated on the basis of the number of weighted proceedings papers that a university has contributed to either an A*, A, B, or C conference as ranked by the Computing Research and Education Association of Australasia. In addition to calculating the correlations between the distinct university rankings and the separate ‘geo-based’ versus CORE scores, we are in the process of developing a geographical visualization tool that presents the metrics so that they may be examined in an explorative way.
M3 - Article in proceedings
BT - International Society for Scientometrics and Informetrics (ISSI)
Y2 - 16 October 2017 through 20 October 2017
ER -
ID: 185747214