Remote sensing and geostatistics in urban water-resource monitoring: a review
- Journal
- Marine and Freshwater Research
In The Last Decade
doi.org/10.1071/mf22167 →Countries where authors are citing Remote sensing and geostatistics in urban water-resource monitoring: a review
This map shows the geographic impact of Remote sensing and geostatistics in urban water-resource monitoring: a review. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Remote sensing and geostatistics in urban water-resource monitoring: a review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remote sensing and geostatistics in urban water-resource monitoring: a review more than expected).
Fields of papers citing Remote sensing and geostatistics in urban water-resource monitoring: a review
This network shows the impact of Remote sensing and geostatistics in urban water-resource monitoring: a review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Remote sensing and geostatistics in urban water-resource monitoring: a review.
About Remote sensing and geostatistics in urban water-resource monitoring: a review
This paper, published in 2023, received 137 indexed citations . Written by Zhixin Liu, Jiayi Xu, Mingzhe Liu, Zhengtong Yin, Xuan Liu, Lirong Yin and Wenfeng Zheng covering the research area of Environmental Engineering and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (65 citations), Water Science and Technology (50 citations) and Environmental Engineering (35 citations). Published in Marine and Freshwater Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1071/mf22167.