John R. Kerr

5.3k total citations · 5 hit papers
47 papers, 3.2k citations indexed

About

John R. Kerr is a scholar working on Sociology and Political Science, Health and Communication. According to data from OpenAlex, John R. Kerr has authored 47 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Sociology and Political Science, 8 papers in Health and 6 papers in Communication. Recurrent topics in John R. Kerr's work include Misinformation and Its Impacts (21 papers), Climate Change Communication and Perception (13 papers) and Vaccine Coverage and Hesitancy (8 papers). John R. Kerr is often cited by papers focused on Misinformation and Its Impacts (21 papers), Climate Change Communication and Perception (13 papers) and Vaccine Coverage and Hesitancy (8 papers). John R. Kerr collaborates with scholars based in New Zealand, United Kingdom and Australia. John R. Kerr's co-authors include Sander van der Linden, Alexandra L. J. Freeman, Claudia R. Schneider, Sarah Dryhurst, Gabriel Recchia, Anne Marthe van der Bles, David Spiegelhalter, Jon Roozenbeek, Costas Panagopoulos and Marc Wilson and has published in prestigious journals such as PLoS ONE, Journal of Marketing and The Journal of Comparative Neurology.

In The Last Decade

John R. Kerr

40 papers receiving 3.0k citations

Hit Papers

Risk perceptions of COVID-19 around the world 2020 2026 2022 2024 2020 2020 2021 2021 2023 400 800 1.2k

Peers

John R. Kerr
Claudia R. Schneider United Kingdom
Gabriel Recchia United Kingdom
Sarah Dryhurst United Kingdom
Todd K. Hartman United Kingdom
Erika Franklin Fowler United States
Jon Roozenbeek United Kingdom
Jeanine P. D. Guidry United States
Enny Das Netherlands
Bobby Duffy United Kingdom
Claudia R. Schneider United Kingdom
John R. Kerr
Citations per year, relative to John R. Kerr John R. Kerr (= 1×) peers Claudia R. Schneider

Countries citing papers authored by John R. Kerr

Since Specialization
Citations

This map shows the geographic impact of John R. Kerr's 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 John R. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Kerr more than expected).

Fields of papers citing papers by John R. Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Kerr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John R. Kerr. The network helps show where John R. Kerr may publish in the future.

Co-authorship network of co-authors of John R. Kerr

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Kerr. A scholar is included among the top collaborators of John R. Kerr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John R. Kerr. John R. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ghasemi, Omid, Viktoria Cologna, Niels G. Mede, et al.. (2025). Gaps in public trust between scientists and climate scientists: a 68 country study. Environmental Research Letters. 20(6). 61002–61002. 1 indexed citations
2.
Williams, Matt N, et al.. (2025). Does Developing a Belief in One Conspiracy Theory Lead a Person to be More Likely to Believe in Others?. European Journal of Social Psychology. 55(4). 554–564. 2 indexed citations
3.
Kerr, John R., et al.. (2024). Selective and consistent news avoidance in Aotearoa New Zealand: motivations and demographic influences. Kōtuitui New Zealand Journal of Social Sciences Online. 20(4). 619–638.
4.
Marques, Mathew D., John R. Kerr, Arthur A. Stukas, & Jim McLennan. (2024). The effect of scientific conspiracy theories on scepticism towards biotechnologies. Public Understanding of Science. 34(5). 646–664. 1 indexed citations
5.
Williams, Matt N, et al.. (2024). People do change their beliefs about conspiracy theories—but not often. Scientific Reports. 14(1). 3836–3836. 11 indexed citations
6.
Greifeneder, Rainer, Karen M. Douglas, Aleksandra Cichocka, et al.. (2024). Does Lower Psychological Need Satisfaction Foster Conspiracy Belief? Longitudinal Effects Over 3 Years in New Zealand. Personality and Social Psychology Bulletin. 52(4). 1004–1018. 3 indexed citations
7.
Maertens, Rakoen, Friedrich M. Götz, Hudson Golino, et al.. (2023). The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment. Behavior Research Methods. 56(3). 1863–1899. 52 indexed citations breakdown →
8.
Kerr, John R., Claudia R. Schneider, Alexandra L. J. Freeman, Theresa M. Marteau, & Sander van der Linden. (2022). Transparent communication of evidence does not undermine public trust in evidence. PNAS Nexus. 1(5). pgac280–pgac280. 19 indexed citations
9.
Kerr, John R., et al.. (2022). COVID-19 risk perception and hoax beliefs in the US immediately before and after the announcement of President Trump's diagnosis. Royal Society Open Science. 9(8). 212013–212013. 7 indexed citations
10.
Marques, Mathew D., Stephen Hill, Matt N Williams, et al.. (2022). Democracy and belief in conspiracy theories in New Zealand. Australian Journal of Political Science. 57(3). 264–279. 11 indexed citations
11.
Williams, Matt N, Mathew D. Marques, Stephen Hill, John R. Kerr, & Mathew Ling. (2022). Why are beliefs in different conspiracy theories positively correlated across individuals? Testing monological network versus unidimensional factor model explanations. British Journal of Social Psychology. 61(3). 1011–1031. 34 indexed citations
12.
Kerr, John R., Alexandra L. J. Freeman, Theresa M. Marteau, & Sander van der Linden. (2021). Effect of Information about COVID-19 Vaccine Effectiveness and Side Effects on Behavioural Intentions: Two Online Experiments. Vaccines. 9(4). 379–379. 79 indexed citations
13.
Freeman, Alexandra L. J., John R. Kerr, Gabriel Recchia, et al.. (2021). Communicating personalized risks from COVID-19: guidelines from an empirical study. Royal Society Open Science. 8(4). 201721–201721. 14 indexed citations
14.
Marques, Mathew D., John R. Kerr, Matt N Williams, Mathew Ling, & Jim McLennan. (2021). Associations between conspiracism and the rejection of scientific innovations. Public Understanding of Science. 30(7). 854–867. 19 indexed citations
15.
Kerr, John R., Claudia R. Schneider, Gabriel Recchia, et al.. (2021). Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys. BMJ Open. 11(8). e048025–e048025. 87 indexed citations
16.
Schneider, Claudia R., Sarah Dryhurst, John R. Kerr, et al.. (2021). COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom. Journal of Risk Research. 24(3-4). 294–313. 174 indexed citations breakdown →
17.
Marques, Mathew D., Mathew Ling, Matt N Williams, John R. Kerr, & Jim McLennan. (2021). Australasian Public Awareness and Belief in Conspiracy Theories: Motivational Correlates. Political Psychology. 43(1). 177–198. 23 indexed citations
18.
Roozenbeek, Jon, Claudia R. Schneider, Sarah Dryhurst, et al.. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science. 7(10). 201199–201199. 849 indexed citations breakdown →
19.
Dryhurst, Sarah, Claudia R. Schneider, John R. Kerr, et al.. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research. 23(7-8). 994–1006. 1254 indexed citations breakdown →
20.
Kerr, John R., et al.. (2011). Benzylpiperazine in New Zealand: brief history and current implications. Journal of the Royal Society of New Zealand. 41(1). 155–164. 9 indexed 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.

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