Bibliometric Analysis of the Permafrost Research: Developments, Impacts, and Trends

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 1; p. 234
• Main Authors: Du, Qingsong, Li, Guoyu, Chen, Dun, Zhou, Yu, Qi, Shunshun, Wang, Fei, Mao, Yuncheng, Zhang, Jun, Cao, Yapeng, Gao, Kai, Wu, Gang, Li, Chunqing, Wang, Yapeng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2023
• Subjects: bibliometric analysis; Bibliometrics; Citation indexes; Climate change; Cryosphere; Environmental degradation; Global warming; Growth rate; Interferometric synthetic aperture radar; knowledge map; Machine learning; Permafrost; Remote sensing; Science; Trends; Water shortages; web of science; Northern Hemisphere
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs15010234

Permafrost is a significant part of the cryosphere, which has gained increasing attention from scientists, policy-makers, and the general public due to global warming, environmental degradation, water shortages, and intense human activities. Although many permafrost research review articles have been published, these studies were predominantly limited to either one subject or one field, while systematic studies about permafrost based on bibliometric analysis methods remain limited. We aim to fill this gap by conducting a bibliometric analysis of 13,697 articles in the field of permafrost research from 1942 to 2021, collected from the Web of Science core collection database. The results indicate that permafrost research is a typically multi-author, multi-country, and multi-institution cooperative field, involved in many research fields. The cumulative number of publications has presented an exponential increase over the past 80 years, with an average annual growth rate of 10.40%. Since 2000, China has seen a rapid growth in the number of publications per year, surpassing the USA in 2016 and leading in the years since then. In addition, the authors from China have great contributions in publications, and there is good room for permafrost development in the future according to the authors’ M-index ranking. After the analysis of authors’ keywords, we found that, compared to the conventional methods, machine learning and interferometric synthetic aperture radar (InSAR) are new technological approaches introduced in recent years, and the Qinghai–Tibet Plateau has become a popular study area. The results presented here can help related researchers, scholars, and students in the field to better understand the past developments, current status, and future trends of permafrost research. Furthermore, this paper presents and expands the general process of the bibliometric method used in permafrost studies, which can provide researchers with new inspirations and improve discipline research approach.