Spatial conservation prioritization: Quantitative methods and computational tools
- Journal
- QUT ePrints (Queensland University of Technology)
In The Last Decade
doi.org/w9670709 →Countries where authors are citing Spatial conservation prioritization: Quantitative methods and computational tools
This map shows the geographic impact of Spatial conservation prioritization: Quantitative methods and computational tools. 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 Spatial conservation prioritization: Quantitative methods and computational tools with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spatial conservation prioritization: Quantitative methods and computational tools more than expected).
Fields of papers citing Spatial conservation prioritization: Quantitative methods and computational tools
This network shows the impact of Spatial conservation prioritization: Quantitative methods and computational tools. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Spatial conservation prioritization: Quantitative methods and computational tools.
About Spatial conservation prioritization: Quantitative methods and computational tools
This paper, published in 2009, received 604 indexed citations . Written by Atte Moilanen, Kerrie A. Wilson and Hugh P. Possingham covering the research area of Ecological Modeling, Nature and Landscape Conservation and Ecology. It is primarily cited by scholars working on Ecology (352 citations), Global and Planetary Change (339 citations) and Nature and Landscape Conservation (231 citations). Published in QUT ePrints (Queensland University of Technology).
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/w9670709.