Incorporating uncertainty and prior information into stable isotope mixing models
Impact in
- Ecology 862
Classified as
- Journal
- Ecology Letters
In The Last Decade
doi.org/10.1111/j.1461-0248.2008.01163.x →Countries where authors are citing Incorporating uncertainty and prior information into stable isotope mixing models
This map shows the geographic impact of Incorporating uncertainty and prior information into stable isotope mixing models. 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 Incorporating uncertainty and prior information into stable isotope mixing models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Incorporating uncertainty and prior information into stable isotope mixing models more than expected).
Fields of papers citing Incorporating uncertainty and prior information into stable isotope mixing models
This network shows the impact of Incorporating uncertainty and prior information into stable isotope mixing models. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Incorporating uncertainty and prior information into stable isotope mixing models.
About Incorporating uncertainty and prior information into stable isotope mixing models
This paper, published in 2008, received 1.1k indexed citations . Written by Jonathan W. Moore and Brice Xavier Semmens covering the research area of Global and Planetary Change, Atmospheric Science and Ecology. It is primarily cited by scholars working on Ecology (862 citations), Global and Planetary Change (356 citations), Nature and Landscape Conservation (228 citations), Oceanography (184 citations) and Atmospheric Science (182 citations). Published in Ecology Letters.
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/10.1111/j.1461-0248.2008.01163.x.