Evolutionary ecology research

1.1k papers and 29.7k indexed citations i.

About

The 1.1k papers published in Evolutionary ecology research in the last decades have received a total of 29.7k indexed citations. Papers published in Evolutionary ecology research usually cover Ecology, Evolution, Behavior and Systematics (521 papers), Ecology (405 papers) and Genetics (384 papers) specifically the topics of Plant and animal studies (309 papers), Animal Behavior and Reproduction (258 papers) and Evolution and Genetic Dynamics (179 papers). The most active scholars publishing in Evolutionary ecology research are Joel S. Brown, Robert D. Holt, Ehab Abouheif, Daniel G. Wenny, Joel G. Kingsolver, Andrew P. Hendry, Raymond B. Huey, Michio Kondoh, Donald B. Miles and Eric L. Charnov.

In The Last Decade

Fields of papers published in Evolutionary ecology research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Evolutionary ecology research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Evolutionary ecology research.

Countries where authors publish in Evolutionary ecology research

Since Specialization
Citations

This map shows the geographic impact of research published in Evolutionary ecology research. 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 published in Evolutionary ecology research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evolutionary ecology research 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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