39797

Автор(ов): 

3

Параметры публикации
Тип публикации: 
Доклад
Название: 
Ranking Journals Using Social Choice Theory Methods: A Novel Approach in Bibliometrics
ISBN/ISSN: 
978-84-9048-519-4
DOI: 
10.4995/STI2016.2016.4543
Наименование конференции: 
21st international conference on science and technology indicators Peripheries, frontiers and beyond (València, 2016)
Наименование источника: 
Proceedings of the 21st international conference on science and technology indicators Peripheries, frontiers and beyond (València, 2016)
Город: 
València
Издательство: 
Editorial Universitat Politècnica de València
Год издания: 
2016
Страницы: 
1266-1273 www.sti2016.org
Аннотация
We use data on economic, management and political science journals to produce quantitative estimates of (in)consistency of evaluations based on seven popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP and SJR). We propose a new approach to aggregating journal rankings: since rank aggregation is a multicriteria decision problem, ordinal ranking methods from social choice theory may solve it. We apply either a direct ranking method based on majority rule (the Copeland rule, the Markovian method) or a sorting procedure based on a tournament solution, such as the uncovered set and the minimal externally stable set. We demonstrate that aggregate rankings reduce the number of contradictions and represent the set of single-indicator-based rankings better than any of the seven rankings themselves.
Библиографическая ссылка: 
Алескеров Ф.Т., Писляков В.В., Субочев А.Н. Ranking Journals Using Social Choice Theory Methods: A Novel Approach in Bibliometrics / Proceedings of the 21st international conference on science and technology indicators Peripheries, frontiers and beyond (València, 2016). València: Editorial Universitat Politècnica de València, 2016. С. 1266-1273 www.sti2016.org.