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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- Climate Change Communication and Perception 4
- Misinformation and Its Impacts 3
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- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Dominique Brossard (10 shared papers)Isabelle Freiling (2 shared papers)Nicole M. Krause (2 shared papers)Emily L. Howell (4 shared papers)Luye Bao (4 shared papers)Shiyu Yang (2 shared papers)Todd P. Newman (2 shared papers)Dietram A. Scheufele (6 shared papers)
- Journals
- Public Understanding of Science (3 papers)Science Communication (2 papers)The CRISPR Journal (1 paper)Vaccine (1 paper)Journal of Risk Research (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
Becca Beets
10 papers receiving 357 citations
Becca Beets's Hit Papers
Peers
Comparison fields: 5 of 81
- Health Informatics 41
- Communication 99
- Health 58
- Sociology and Political Science 253
- Modeling and Simulation 25
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 | 252 |
| 2 | 2023 | 63 | |
| 3 | 2020 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 3 | |
| 11 | Predicting and describing the use of generative AI in science-related information search:Insights from a multinational survey | 2024 | 1 |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 |
About Becca Beets
Becca Beets is a scholar working on Sociology and Political Science, Health Informatics, Education, Communication and Molecular Biology, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Climate Change Communication and Perception (4 papers), Misinformation and Its Impacts (3 papers), CRISPR and Genetic Engineering (2 papers), Media Influence and Health (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Service-Learning and Community Engagement (2 papers) and Public Relations and Crisis Communication (2 papers). The work is most often cited by research in Health Informatics (41 citations), Communication (99 citations), Health (58 citations), Sociology and Political Science (253 citations) and Modeling and Simulation (25 citations). Becca Beets has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Dominique Brossard, Isabelle Freiling, Nicole M. Krause, Emily L. Howell, Luye Bao, Shiyu Yang, Todd P. Newman, Dietram A. Scheufele, Jo Handelsman and Noah Weeth Feinstein. Their work appears in journals such as Public Understanding of Science, Science Communication, The CRISPR Journal, Vaccine and Journal of Risk 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.