48175

Автор(ов): 

3

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
Ranking journals using social choice theory methods: A novel approach in bibliometrics
ISBN/ISSN: 
1751-1577
DOI: 
10.1016/j.joi.2018.03.001
Наименование источника: 
Journal of Informetrics
Обозначение и номер тома: 
vol.12, iss. 2
Город: 
Нидерланды
Издательство: 
Elsevier Science Publishing Company, Inc.
Год издания: 
2018
Страницы: 
416-429 https://www.sciencedirect.com/science/article/pii/S1751157718300919
Аннотация
We use data on economic, management and political science journals to produce quantitative estimates of (in)consistency of the evaluations based on six popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, SNIP and SJR). We advocate a new approach to the aggregation of journal rankings. Since the rank aggregation is a multicriteria decision problem, ranking methods from social choice theory may solve it. We apply either a direct ranking method based on the 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 the aggregate rankings reduce the number of contradictions and represent the set of the single-indicator-based rankings better than any of the six rankings themselves.
Библиографическая ссылка: 
Субочев А.Н., Алескеров Ф.Т., Писляков В.В. Ranking journals using social choice theory methods: A novel approach in bibliometrics // Journal of Informetrics. 2018. vol.12, iss. 2. С. 416-429 https://www.sciencedirect.com/science/article/pii/S1751157718300919.