Satellite Altimetry: Achievements and Future Trends by a Scientometrics Analysis
文献类型：期刊论文
| 作者 | Yang, Lei5,6,7,8,9,10; Lin, Lina5,7,10; Fan, Long4; Liu, Na5,7,10; Huang, Lingyong3; Xu, Yongsheng6,7,8 ; Mertikas, Stelios P.2; Jia, Yongjun1; Lin, Mingsen1
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 14期号:14页码:22 |
| 关键词 | satellite altimetry scientometrics bibliometrics meta-analysis |
| DOI | 10.3390/rs14143332 |
| 通讯作者 | Fan, Long(fl_arc@fio.org.cn) |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000831535700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/179799]  |
| 专题 | 中国科学院海洋研究所 |
| 通讯作者 | Fan, Long |
| 作者单位 | 1.Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China 2.Tech Univ Crete, Geodesy & Geomat Engn Lab, GR-73100 Khania, Greece 3.State Key Lab Geoinformat Engn, Xian 710054, Peoples R China 4.Naval Res Acad, Tianjin 300061, Peoples R China 5.Minsitry Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100864, Peoples R China 7.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266373, Peoples R China 8.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 9.Minist Nat Resource, Key Lab Marine Environm Survey Technol & Applicat, Guangzhou 510300, Peoples R China 10.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China |
| 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. |
入库方式： OAI收割
来源：海洋研究所
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