Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis

doi:10.3390/rs14143332

IOCAS-IR

	Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis
	Yang, Lei 1,2,3,4,5,6; Lin, Lina 1,4,6; Fan, Long 7; Liu, Na 1,4,6; Huang, Lingyong 8; Xu, Yongsheng3,4,5 ; Mertikas, Stelios P.9; Jia, Yongjun 10; Lin, Mingsen 10
	2022-07-01
发表期刊	REMOTE SENSING
卷号	14 期号:14 页码:22
通讯作者	Fan, Long([email protected])
摘要	Scientometric reviews, facilitated by computational and visual analytical approaches, allow researchers to gain a thorough understanding of research trends and areas of concentration from a large number of publications. With the fast development of satellite altimetry, which has been effectively applied to a wide range of research topics, it is timely to summarize the scientific achievements of the previous 50 years and identify future trends in this field. A comprehensive overview of satellite altimetry was presented using a total of 8541 publications from the Web of Science Core Collection covering the years from 1970 to 2021. We begin by presenting the fundamental statistical results of the publications, such as the annual number of papers, study categories, countries/regions, afflictions, journals, authors, and keywords, in order to provide a comprehensive picture of satellite altimetry research. We discuss the co-occurrence of the authors in order to reveal the global collaboration network of satellite altimetry research. Finally, we utilised co-citation networks to detect the development trend and associated crucial publications for various specific topics. The findings show that satellite altimetry research has been changed immensely during the last half-century. The United States, France, China, England, and Germany made the most significant contributions in the field of satellite altimetry. The analysis reveals a clear link between technology advancements and the trend in satellite altimetry research. As a result, wide swath altimetry, GNSS-reflectometry, laser altimetry, terrestrial hydrology, and deep learning are among the most frontier study subjects. The findings of this work could guide a thorough understanding of satellite altimetry's overall development and research front.
关键词	satellite altimetry scientometrics bibliometrics meta-analysis
DOI	10.3390/rs14143332
收录类别	SCI
语种	英语
资助项目	Key Laboratory of Marine Environmental Survey Technology and Application Ministry of Natural Resource[MESTA-2020-B010]; National Natural Science Foundation of China[41806214]; Global Change and Air-Sea Interaction[ZY0722031]; Dragon 5 Cooperation (2020-2024) Project of the European Space Agency; National Remote Sensing Center of China (NRSCC, under MOST)
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000831535700001
出版者	MDPI
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/179800
专题	中国科学院海洋研究所
通讯作者	Fan, Long
作者单位	1.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China 2.Minist Nat Resource, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510300, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266373, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100864, Peoples R China 6.Minsitry Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China 7.Naval Res Acad, Tianjin 300061, Peoples R China 8.State Key Lab Geoinformat Engn, Xian 710054, Peoples R China 9.Tech Univ Crete, Geodesy & Geomat Engn Lab, GR-73100 Khania, Greece 10.Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
第一作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Yang, Lei,Lin, Lina,Fan, Long,et al. Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis[J]. REMOTE SENSING,2022,14(14):22.
APA	Yang, Lei.,Lin, Lina.,Fan, Long.,Liu, Na.,Huang, Lingyong.,...&Lin, Mingsen.(2022).Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis.REMOTE SENSING,14(14),22.
MLA	Yang, Lei,et al."Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis".REMOTE SENSING 14.14(2022):22.