Lancho-Barrantes, BS and Cantu-Ortiz, FJ (2019) Quantifying the research preferences of top research universities: why they make a difference? In: 17th International Conference on Scientometrics & Informetrics (ISSI2019), Vol II. 17th International Conference of the International Society for Scientometrics and Informetrics (ISSI) on Scientometrics and Informetrics, 02-05 Sep 2019, Sapienza University, Rome, Italy. International Society for Scientometrics and Informetrics (ISSI) , pp. 1488-1499. ISBN 978-88-3381-118-5
Abstract
Research universities are institutions with a strong vocation and advocacy towards research. They are in the top of the world university rankings because of their excellence in research. This paper analyzes research universities focusing on their research preferences. We have selected the top twelve universities of THE World University Rankings 2019 and Scopus and SciVal as source of data with a five-year publication window. In order to analyze university preferences, we have applied a statistitical technique called cosine similarity. Besides, cluster analysis through VOSviewer showed and classified the terms most used by universities. The results have revealed that research universities have a strong commitment in specific areas. Finally, we have analyzed the scientific production in collaboration between all them and their preferences to cooperate.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Authors and © International Society for Scientometrics and Informetrics. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Nov 2020 11:33 |
Last Modified: | 24 Nov 2020 12:34 |
Published Version: | https://www.issi-society.org/publications/issi-con... |
Status: | Published |
Publisher: | International Society for Scientometrics and Informetrics (ISSI) |
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Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167262 |