Humans display a ‘cooperative phenotype’ that is domain general and temporally stable
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms5939 →Countries where authors are citing Humans display a ‘cooperative phenotype’ that is domain general and temporally stable
This map shows the geographic impact of Humans display a ‘cooperative phenotype’ that is domain general and temporally stable. 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 Humans display a ‘cooperative phenotype’ that is domain general and temporally stable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humans display a ‘cooperative phenotype’ that is domain general and temporally stable more than expected).
Fields of papers citing Humans display a ‘cooperative phenotype’ that is domain general and temporally stable
This network shows the impact of Humans display a ‘cooperative phenotype’ that is domain general and temporally stable. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Humans display a ‘cooperative phenotype’ that is domain general and temporally stable.
About Humans display a ‘cooperative phenotype’ that is domain general and temporally stable
This paper, published in 2014, received 281 indexed citations . Written by Alexander Peysakhovich, Martin A. Nowak and David G. Rand covering the research area of Experimental and Cognitive Psychology, Sociology and Political Science and Safety Research. It is primarily cited by scholars working on Sociology and Political Science (187 citations), Safety Research (165 citations) and Cognitive Neuroscience (99 citations). Published in Nature Communications.
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/10.1038/ncomms5939.