Public Understanding of Science

1.5k papers and 45.2k indexed citations i.

About

The 1.5k papers published in Public Understanding of Science in the last decades have received a total of 45.2k indexed citations. Papers published in Public Understanding of Science usually cover Sociology and Political Science (1.0k papers), Communication (255 papers) and Social Psychology (192 papers) specifically the topics of Climate Change Communication and Perception (780 papers), Misinformation and Its Impacts (202 papers) and Risk Perception and Management (189 papers). The most active scholars publishing in Public Understanding of Science are Brian Wynne, Jon D. Miller, Alan Irwin, Nick Allum, S. Miller, Patrick Sturgis, Tommaso Venturini, Anabela Carvalho, Martín W. Bauer and Craig W. Trumbo.

In The Last Decade

Fields of papers published in Public Understanding of Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Public Understanding of Science. 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 Public Understanding of Science.

Countries where authors publish in Public Understanding of Science

Since Specialization
Citations

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