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Although numerous reviews have summarized progress in this field, their analyses are often limited in scope and fail to provide a systematic, quantitative assessment of the current research prospects and trends. To address this gap, we utilize CiteSpace and VOSviewer bibliometric software to analyze 13,500 publications from the WOS database, spanning the years from 1988 to 2022. Our analysis focused on publication volume, authorship, collaboration networks, and content. We also compare data from Google Scholar and Scopus to validate the reliability of our dataset. Our findings indicate a steadily growing research potential in this field, as evidenced by trends in publication volume, authorship, journal influence, and disciplinary focus. Notably, the leading journals are primarily in the realm of remote sensing, while key disciplines include geology, remote sensing science, and oceanography. Keyword analysis revealed current research hotspots such as sea-level rise, snow depth, and machine learning applications. Among various water body types, research on glaciers ranks second only to ocean studies. Furthermore, research focus areas are shifting from large oceanic regions like the Pacific and Atlantic Oceans to significant inland water bodies, notably the Tibetan Plateau and the Amazon basin. This study combines qualitative and quantitative methods to analyze vast amounts of information in the field of surface water monitoring by satellite altimetry. The resulting visualizations provide researchers with clear insights into the development trends and patterns within this domain, offering valuable support for identifying future research priorities and directions.<\/jats:p>","DOI":"10.3390\/rs16162886","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T07:01:25Z","timestamp":1723100485000},"page":"2886","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Trends and Innovations in Surface Water Monitoring via Satellite Altimetry: A 34-Year Bibliometric Review"],"prefix":"10.3390","volume":"16","author":[{"given":"Zhengkai","family":"Huang","sequence":"first","affiliation":[{"name":"School of Transportation Engineering, East China Jiaotong Univeristy, Nanchang 330013, China"}]},{"given":"Rumiao","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, East China Jiaotong Univeristy, Nanchang 330013, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0106-8360","authenticated-orcid":false,"given":"Haihong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"}]},{"given":"Xin","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Transportation Engineering, East China Jiaotong Univeristy, Nanchang 330013, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2021","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3673","DOI":"10.1007\/s10668-020-00738-6","article-title":"High-Resolution Monitoring of Inland Water Bodies across China in Long Time Series and Water Resource Changes","volume":"23","author":"Chuai","year":"2021","journal-title":"Environ. 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