| dc.creator | Sidiropoulos A., Gogoglou A., Katsaros D., Manolopoulos Y. | en |
| dc.date.accessioned | 2023-01-31T09:55:54Z | |
| dc.date.available | 2023-01-31T09:55:54Z | |
| dc.date.issued | 2016 | |
| dc.identifier | 10.1016/j.joi.2016.04.009 | |
| dc.identifier.issn | 17511577 | |
| dc.identifier.uri | http://hdl.handle.net/11615/78962 | |
| dc.description.abstract | Admittedly, despite the plethora of scientometric indices proposed to rank scientists, none of them can fully capture the performance and impact of a scientist, since each index quantifies only one or a few aspects of his/her multifarious performance. Therefore, the task of scientometric ranking can be seen as a multi-dimensional ranking problem, where the different indices comprise the dimensions. The application of the skyline operator comes then as a natural solution to the problem. In this article we apply the skyline operator to scientist ranking to identify those scientists whose performance cannot be surpassed by others' with respect to all attributes. This technique can be used as a tool for short-listing distinguished researchers in case of award nomination. © 2016 Elsevier Ltd. | en |
| dc.language.iso | en | en |
| dc.source | Journal of Informetrics | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973863264&doi=10.1016%2fj.joi.2016.04.009&partnerID=40&md5=2279e3a57c9a47db2ba47f4709cc0c57 | |
| dc.subject | Hirsch index | en |
| dc.subject | Multi dimensional | en |
| dc.subject | Perfectionism index | en |
| dc.subject | Ranking problems | en |
| dc.subject | Scientometrics | en |
| dc.subject | Skyline operator | en |
| dc.subject | Star scientists | en |
| dc.subject | Computer applications | en |
| dc.subject | Elsevier Ltd | en |
| dc.title | Gazing at the skyline for star scientists | en |
| dc.type | journalArticle | en |
