Detecting Causality in Complex Ecosystems

1.5k indexed citations

Abstract

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This paper, published in 2012, received 1.5k indexed citations. Written by George Sugihara, Robert M. May, Hao Ye, Chih‐hao Hsieh, Ethan R. Deyle, Michael J. Fogarty and Stephan B. Munch covering the research area of Environmental Engineering, Economics and Econometrics and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (455 citations), Ecology (222 citations) and Economics and Econometrics (216 citations). Published in Science.

Countries where authors are citing Detecting Causality in Complex Ecosystems

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

Fields of papers citing Detecting Causality in Complex Ecosystems

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Detecting Causality in Complex Ecosystems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Detecting Causality in Complex Ecosystems.

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/10.1126/science.1227079.

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