Ecological Modeling

168.4k papers and 4.6M indexed citations i.

About

168.4k papers covering Ecological Modeling have received a total of 4.6M indexed citations since 1950. Papers on subfields are most often about the specific topic of Species Distribution and Climate Change, Ecology and Vegetation Dynamics Studies and Wildlife Ecology and Conservation and also cover the fields of Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. Papers citing papers on subfields are usually about Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. Some of the most active scholars covering Ecological Modeling are Wilfried Thuiller, A. Townsend Peterson, Camille Parmesan, Antoine Guisan, Kevin J. Gaston, Miguel B. Araújo, Jane Elith, Steven J. Phillips, Compton J. Tucker and Eric R. Pianka.

In The Last Decade

Fields of papers citing papers about Ecological Modeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Ecological Modeling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Ecological Modeling.

Countries where authors publish papers about Ecological Modeling

Since Specialization
Citations

This map shows the geographic impact of research in Ecological Modeling. 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 papers about Ecological Modeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ecological Modeling more than expected).

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.

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2025