文献计量学
计算机科学
领域(数学)
数据科学
科学网
斯科普斯
透视图(图形)
管理科学
数据挖掘
政治学
梅德林
数学
人工智能
纯数学
法学
经济
作者
José M. Merigó,Anna M. Gil‐Lafuente,Ronald R. Yager
标识
DOI:10.1016/j.asoc.2014.10.035
摘要
Bibliometrics is a discipline that analyzes bibliographic material from a quantitative perspective. It is very useful for classifying information according to different variables, including journals, institutions and countries. This paper presents a general overview of research in the fuzzy sciences using bibliometric indicators. The main advantage is that these indicators provide a general picture, identifying some of the most influential research in this area. The analysis is divided into key sections focused on relevant journals, papers, authors, institutions and countries. Most of the results are in accordance with our common knowledge, although some unexpected results are also found. Note that the aim of this paper is to be informative, and these indicators identify most of the fundamental research in this field. However, some very influential issues may be omitted if they are not included in the Web of Science database, which is used for carrying out the bibliometric analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI