John R. Kerr
- Sociology and Political Science top 0.5%
- Health top 0.5%
- Clinical Psychology top 2%
- Economics and Econometrics top 2%
- Modeling and Simulation top 0.5%
- Co-authors
- Sander van der LindenAlexandra L. J. FreemanClaudia R. SchneiderSarah DryhurstGabriel RecchiaAnne Marthe van der BlesDavid SpiegelhalterJon Roozenbeek
- Topics
- Misinformation and Its Impacts (21 papers)Climate Change Communication and Perception (13 papers)Vaccine Coverage and Hesitancy (8 papers)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
John R. Kerr
40 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Sociology and Political Science 1.8k
- Health 888
- Clinical Psychology 698
- Economics and Econometrics 498
- Modeling and Simulation 449
Countries citing papers authored by John R. Kerr
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernmentbreakdown → | 52 |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 34 | |
| 12 | 79 | |
| 13 | 14 | |
| 14 | 19 | |
| 15 | 87 | |
| 16 | COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdombreakdown → | 174 |
| 17 | 23 | |
| 18 | Susceptibility to misinformation about COVID-19 around the worldbreakdown → | 849 |
| 19 | Risk perceptions of COVID-19 around the worldbreakdown → | 1254 |
| 20 | 9 |
About John R. Kerr
John R. Kerr is a scholar working on Health, Communication and Sociology and Political Science, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (21 papers), Climate Change Communication and Perception (13 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Health (888 citations), Modeling and Simulation (449 citations) and Applied Psychology (271 citations). John R. Kerr has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent 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. Their work appears in journals such as PLoS ONE, Journal of Marketing and The Journal of Comparative Neurology.
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.