Becca Beets
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Communication top 5%
- Public Relations and Crisis Communication
- Social Media and Politics
Papers in
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- Artificial Intelligence in Healthcare and Education 4
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- Science Education and Perceptions 2
- Co-authors
- Dominique Brossard (11 shared papers)Isabelle Freiling (2 shared papers)Nicole M. Krause (2 shared papers)Luye Bao (5 shared papers)Emily L. Howell (4 shared papers)Shiyu Yang (2 shared papers)Todd P. Newman (4 shared papers)Dietram A. Scheufele (7 shared papers)
- Journals
- Public Understanding of Science (3 papers)Science Communication (2 papers)PLoS ONE (2 papers)Vaccine (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Becca Beets
11 papers receiving 432 citations
Becca Beets's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 56
- Communication 110
- Health 51
- Sociology and Political Science 275
- Modeling and Simulation 20
Countries citing papers authored by Becca Beets
This map shows the geographic impact of Becca Beets'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 Becca Beets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Becca Beets more than expected).
Fields of papers citing papers by Becca Beets
This network shows the impact of papers produced by Becca Beets. 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 Becca Beets. The network helps show where Becca Beets may publish in the future.
Co-authors
The 24 scholars most cited alongside Becca Beets, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19 Hit paper breakdown → | 2020 | 284 |
| 2 | 2023 | 87 | |
| 3 | 2022 | 21 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2025 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2025 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | Predicting and describing the use of generative AI in science-related information search:Insights from a multinational survey | 2024 | 1 |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Becca Beets
Becca Beets is a scholar working on Health Informatics, Developmental and Educational Psychology, Sociology and Political Science, Communication and Literature and Literary Theory, having authored 15 papers that have together received 465 indexed citations. Recurring topics across this work include Climate Change Communication and Perception (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Misinformation and Its Impacts (3 papers), CRISPR and Genetic Engineering (2 papers), Media Influence and Health (2 papers), Science Education and Perceptions (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Service-Learning and Community Engagement (2 papers). The work is most often cited by research in Health Informatics (56 citations), Communication (110 citations), Health (51 citations), Sociology and Political Science (275 citations) and Modeling and Simulation (20 citations). Becca Beets has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Dominique Brossard, Isabelle Freiling, Nicole M. Krause, Luye Bao, Emily L. Howell, Shiyu Yang, Todd P. Newman, Dietram A. Scheufele, Noah Weeth Feinstein and Jo Handelsman. Their work appears in journals such as Public Understanding of Science, Science Communication, PLoS ONE, Vaccine and Journal of Medical Internet Research.
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.