Becca Beets

671 total citations · 1 hit paper
13 papers, 378 citations indexed

About

Becca Beets is a scholar working on Sociology and Political Science, Health Informatics and Education. According to data from OpenAlex, Becca Beets has authored 13 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 4 papers in Health Informatics and 3 papers in Education. Recurrent topics in Becca Beets's work include Climate Change Communication and Perception (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Misinformation and Its Impacts (3 papers). Becca Beets is often cited by papers focused on Climate Change Communication and Perception (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Misinformation and Its Impacts (3 papers). Becca Beets collaborates with scholars based in United States, Germany and Italy. Becca Beets's co-authors include Dominique Brossard, Isabelle Freiling, Nicole M. Krause, Emily L. Howell, Luye Bao, Shiyu Yang, Todd P. Newman, Dietram A. Scheufele, Noah Weeth Feinstein and Jo Handelsman and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Vaccine.

In The Last Decade

Becca Beets

10 papers receiving 357 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19

2020 252 citations Nicole M. Krause, Isabelle Freiling et al. Journal of Risk Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Becca Beets United States	6	253	99	63	58	41	13	378
Stephen Neely United States	12	362 1.4×	180 1.8×	92 1.5×	191 3.3×	25 0.6×	24	642
Niels G. Mede Switzerland	11	463 1.8×	160 1.6×	69 1.1×	58 1.0×	10 0.2×	30	588
Kaisheng Lai China	12	171 0.7×	42 0.4×	54 0.9×	30 0.5×	65 1.6×	34	406
Gabriel Lima South Korea	9	111 0.4×	38 0.4×	92 1.5×	54 0.9×	18 0.4×	19	244
Renée DiResta United States	12	230 0.9×	117 1.2×	103 1.6×	60 1.0×	7 0.2×	26	363
Wang Liao United States	9	200 0.8×	65 0.7×	58 0.9×	85 1.5×	5 0.1×	25	398
Justin Bernstein United States	7	163 0.6×	60 0.6×	25 0.4×	66 1.1×	6 0.1×	22	348
Chengda Zheng Canada	5	301 1.2×	96 1.0×	231 3.7×	83 1.4×	13 0.3×	7	507
Wenjing Pian China	9	189 0.7×	60 0.6×	84 1.3×	73 1.3×	9 0.2×	13	373
Kyungeun Jang South Korea	6	232 0.9×	94 0.9×	36 0.6×	23 0.4×	7 0.2×	10	324

Countries citing papers authored by Becca Beets

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Becca Beets

This figure shows the co-authorship network connecting the top 25 collaborators of Becca Beets. A scholar is included among the top collaborators of Becca Beets 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 Becca Beets. Becca Beets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Greussing, Esther, Lars Guenther, Ayelet Baram‐Tsabari, et al.. (2025). The perception and use of generative AI for science-related information search: Insights from a cross-national study. Public Understanding of Science. 34(5). 599–615. 3 indexed citations

2.

Greussing, Esther, Lars Guenther, Ayelet Baram‐Tsabari, et al.. (2025). Exploring temporal and cross-national patterns: The use of generative AI in science-related information retrieval across seven countries. Journal of Science Communication. 24(2). 3 indexed citations

3.

Beets, Becca, Dominique Brossard, & Dietram A. Scheufele. (2025). A Mixed-Methods Study of Public Understanding of Scientific Uncertainty. Science Communication.

4.

Mede, Niels G., Emily L. Howell, Mike S. Schäfer, et al.. (2025). Measuring Science Literacy in a Digital World: Development and Validation of a Multi-Dimensional Survey Scale. Science Communication. 48(1). 93–127. 4 indexed citations

5.

Greussing, Esther, Lars Guenther, Ayelet Baram‐Tsabari, et al.. (2024). Predicting and describing the use of generative AI in science-related information search:Insights from a multinational survey. 1 indexed citations

6.

Newman, Todd P. & Becca Beets. (2023). Exploring the brand of science: implications for science communication research and practice. Journal of Science Communication. 22(2).

7.

Beets, Becca, Todd P. Newman, Emily L. Howell, Luye Bao, & Shiyu Yang. (2023). Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review. Journal of Medical Internet Research. 25. e40337–e40337. 63 indexed citations

8.

Krause, Nicole M., et al.. (2023). Collateral damage from debunking mRNA vaccine misinformation. Vaccine. 41(4). 922–929. 4 indexed citations

9.

Beets, Becca, Luye Bao, Dietram A. Scheufele, et al.. (2022). Public engagement: Faculty lived experiences and perspectives underscore barriers and a changing culture in academia. PLoS ONE. 17(6). e0269949–e0269949. 15 indexed citations

10.

Bao, Luye, et al.. (2022). How institutional factors at US land-grant universities impact scientists’ public scholarship. Public Understanding of Science. 32(2). 124–142. 8 indexed citations

11.

Bao, Luye, Becca Beets, Dominique Brossard, et al.. (2022). A triangulated approach for understanding scientists’ perceptions of public engagement with science. Public Understanding of Science. 32(3). 389–406. 9 indexed citations

12.

Howell, Emily L., Shiyu Yang, Becca Beets, et al.. (2020). What Do We (Not) Know About Global Views of Human Gene Editing? Insights and Blind Spots in the CRISPR Era. The CRISPR Journal. 3(3). 148–155. 16 indexed citations

13.

Krause, Nicole M., Isabelle Freiling, Becca Beets, & Dominique Brossard. (2020). Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19. Journal of Risk Research. 23(7-8). 1052–1059. 252 indexed citations breakdown →

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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