Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception
In The Last Decade
doi.org/w20617683 →Countries where authors are citing Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception
This map shows the geographic impact of Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception. 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 Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception more than expected).
Fields of papers citing Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception
This network shows the impact of Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception.
About Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception
This paper, published in 2007, received 567 indexed citations . Written by Donald Braman, Dan M. Kahan, John Gastil, Paul Slovic and C. K. Mertz covering the research area of Cognitive Neuroscience and Sociology and Political Science. It is primarily cited by scholars working on Sociology and Political Science (431 citations), Management, Monitoring, Policy and Law (138 citations) and Global and Planetary Change (67 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/w20617683.