University rankings in computer science: A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

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.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Ehret, P, Zuccala, AA & Gipp, B 2017, University rankings in computer science: A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores. i International Society for Scientometrics and Informetrics (ISSI). International Society for Scientometrics and Informetrics, Wuhan, Kina, 16/10/2017.

APA

Ehret, P., Zuccala, A. A., & Gipp, B. (2017). University rankings in computer science: A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores. I International Society for Scientometrics and Informetrics (ISSI)

Vancouver

Ehret P, Zuccala AA, Gipp B. University rankings in computer science: A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores. I International Society for Scientometrics and Informetrics (ISSI). 2017

Author

Ehret, Philip ; Zuccala, Alesia Ann ; Gipp, Bela. / University rankings in computer science : A study and visualization of ‘geo-based’ impact and conference proceeding (CORE) scores. International Society for Scientometrics and Informetrics (ISSI). 2017.

Bibtex

@inproceedings{9f8ede46360847169798aabf62883585,
title = "University rankings in computer science: A study and visualization of {\textquoteleft}geo-based{\textquoteright} impact and conference proceeding (CORE) scores",
abstract = "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{\textquoteright} {\textquoteleft}geo-based{\textquoteright} impact scores, and Computing Research and Education Conference (CORE) participation scores in the field of computer science. A {\textquoteleft}geo-based{\textquoteright} impact measure examines the geographical distribution of incoming citations to a particular university{\textquoteright}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 {\textquoteleft}geo-based{\textquoteright} 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.",
author = "Philip Ehret and Zuccala, {Alesia Ann} and Bela Gipp",
year = "2017",
language = "English",
booktitle = "International Society for Scientometrics and Informetrics (ISSI)",
note = "International Society for Scientometrics and Informetrics, ISSI ; Conference date: 16-10-2017 Through 20-10-2017",
url = "http://www.issi2017.org",

}

RIS

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