Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

1.6k indexed citations
published 2005

In The Last Decade

doi.org/w65002364 →

Countries where authors are citing Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

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Citations

This map shows the geographic impact of Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence. 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 Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence more than expected).

Fields of papers citing Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence.

About Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

This paper, published in 2005, received 1.6k indexed citations . Written by Darryl I. MacKenzie covering the research area of Ecological Modeling and Ecology. It is primarily cited by scholars working on Ecology (1.4k citations), Ecological Modeling (581 citations) and Nature and Landscape Conservation (563 citations).

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/w65002364.

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