Streamflow requirements for cottonwood seedling recruitment—An integrative model

559 indexed citations
published 1998

Countries where authors are citing Streamflow requirements for cottonwood seedling recruitment—An integrative model

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Citations

This map shows the geographic impact of Streamflow requirements for cottonwood seedling recruitment—An integrative model. 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 Streamflow requirements for cottonwood seedling recruitment—An integrative model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Streamflow requirements for cottonwood seedling recruitment—An integrative model more than expected).

Fields of papers citing Streamflow requirements for cottonwood seedling recruitment—An integrative model

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Streamflow requirements for cottonwood seedling recruitment—An integrative model. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Streamflow requirements for cottonwood seedling recruitment—An integrative model.

About Streamflow requirements for cottonwood seedling recruitment—An integrative model

This paper, published in 1998, received 559 indexed citations . Written by John M. Mahoney and Stewart B. Rood covering the research area of Nature and Landscape Conservation, Ecology and Global and Planetary Change. It is primarily cited by scholars working on Ecology (455 citations), Soil Science (264 citations) and Global and Planetary Change (213 citations). Published in Wetlands.

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/10.1007/bf03161678.

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