Bibliometric Analysis of Psychological Literature Based on Web of Science Data
- DOI
- 10.2991/iceemr-18.2018.133How to use a DOI?
- Keywords
- psychological literature, bibliometric analysis, knowledge graph
- Abstract
Based on the bibliometric method, this paper analyzes an overall situation of 5337 psychological literature academic papers in the Web of Science database between the year of 1992 and 2018, focusing on indicators as the periodicals, authors, institutions, funds, popularity. On this basis, the status quo and problems of the research field are evaluated and classified, indicating that the peak year is 2017, the most popular aspect is psychiatry, the most frequent research genre is article, the top research achievements in quantity goes to the US, which owns the most intensive academic cooperation, the Ohio State University comes to the top in influence among institutions, Psychological Bulletin is the leading periodical, MacCallum, RC is the most being quoted author, the key words of the research object are stress, cancer, nursing, new research objects include women, randomized controlled-trial, and prevalence. Based on those inferences, three tendencies can be revealed: In 2017, the psychiatry enjoys the top importance, female metal stress, cancer and stress related physical health issues and nursing can be the most popular topics in the US.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chao Cui PY - 2018/06 DA - 2018/06 TI - Bibliometric Analysis of Psychological Literature Based on Web of Science Data BT - Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018) PB - Atlantis Press SP - 560 EP - 563 SN - 2352-5398 UR - https://doi.org/10.2991/iceemr-18.2018.133 DO - 10.2991/iceemr-18.2018.133 ID - Cui2018/06 ER -