Predicting global change impacts on plant species’ distributions: Future challenges

955 indexed citations

Abstract

loading...

About

This paper, published in 2007, received 955 indexed citations. Written by Wilfried Thuiller, Cécile H. Albert, Miguel B. Araújo, Pam Berry, Mar Cabeza, Antoine Guisan, Thomas Hickler, Guy F. Midgley, James Paterson and Frank M. Schurr covering the research area of Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Ecological Modeling (620 citations), Nature and Landscape Conservation (591 citations) and Ecology (328 citations). Published in Perspectives in Plant Ecology Evolution and Systematics.

Countries where authors are citing Predicting global change impacts on plant species’ distributions: Future challenges

Specialization
Citations

This map shows the geographic impact of Predicting global change impacts on plant species’ distributions: Future challenges. 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 Predicting global change impacts on plant species’ distributions: Future challenges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predicting global change impacts on plant species’ distributions: Future challenges more than expected).

Fields of papers citing Predicting global change impacts on plant species’ distributions: Future challenges

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Predicting global change impacts on plant species’ distributions: Future challenges. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Predicting global change impacts on plant species’ distributions: Future challenges.

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/10.1016/j.ppees.2007.09.004.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026