Stable isotope hydrology : deuterium and oxygen-18 in the water cycle
Impact in
Classified as
- Authors
- J.R. GatRoberto Gonfiantini
In The Last Decade
doi.org/w78752155 →Countries where authors are citing Stable isotope hydrology : deuterium and oxygen-18 in the water cycle
This map shows the geographic impact of Stable isotope hydrology : deuterium and oxygen-18 in the water cycle. 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 Stable isotope hydrology : deuterium and oxygen-18 in the water cycle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stable isotope hydrology : deuterium and oxygen-18 in the water cycle more than expected).
Fields of papers citing Stable isotope hydrology : deuterium and oxygen-18 in the water cycle
This network shows the impact of Stable isotope hydrology : deuterium and oxygen-18 in the water cycle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Stable isotope hydrology : deuterium and oxygen-18 in the water cycle.
About Stable isotope hydrology : deuterium and oxygen-18 in the water cycle
This paper, published in 1981, received 482 indexed citations . Written by J.R. Gat and Roberto Gonfiantini covering the research area of Geochemistry and Petrology, Environmental Engineering and Pharmaceutical Science. It is primarily cited by scholars working on Geochemistry and Petrology (316 citations), Atmospheric Science (181 citations), Environmental Engineering (140 citations), Ecology (114 citations) and Water Science and Technology (83 citations).
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/w78752155.