Jonathan E. Bogard

684 total citations
8 papers, 67 citations indexed

About

Jonathan E. Bogard is a scholar working on Applied Psychology, General Health Professions and Epidemiology. According to data from OpenAlex, Jonathan E. Bogard has authored 8 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Applied Psychology, 3 papers in General Health Professions and 3 papers in Epidemiology. Recurrent topics in Jonathan E. Bogard's work include Influenza Virus Research Studies (3 papers), Mobile Health and mHealth Applications (3 papers) and Behavioral Health and Interventions (2 papers). Jonathan E. Bogard is often cited by papers focused on Influenza Virus Research Studies (3 papers), Mobile Health and mHealth Applications (3 papers) and Behavioral Health and Interventions (2 papers). Jonathan E. Bogard collaborates with scholars based in United States, Australia and China. Jonathan E. Bogard's co-authors include Noah J. Goldstein, Philip M. Fernbach, Craig R. Fox, Magali A. Delmas, Sharon G. Humiston, Carlos Lerner, Alejandra Casillas, Michael Sloyan, Sitaram Vangala and Peter G. Szilagyi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PEDIATRICS.

In The Last Decade

Jonathan E. Bogard

7 papers receiving 65 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan E. Bogard United States 6 22 21 16 14 14 8 67
Nicolai Bodemer Germany 5 29 1.3× 35 1.7× 32 2.0× 19 1.4× 10 0.7× 6 125
Mikihito Tanaka Japan 4 12 0.5× 7 0.3× 28 1.8× 36 2.6× 13 0.9× 10 146
Claudia Buchweitz Brazil 6 6 0.3× 64 3.0× 6 0.4× 25 1.8× 15 1.1× 10 111
Paul Meyer Canada 6 21 1.0× 67 3.2× 7 0.4× 16 1.1× 14 1.0× 30 159
Luís Luís Portugal 7 6 0.3× 53 2.5× 6 0.4× 17 1.2× 12 0.9× 19 104
Habeeb Omoponle Adewuyi South Africa 6 18 0.8× 17 0.8× 8 0.5× 21 1.5× 4 0.3× 25 108
Henrik Kenneth Andersen Germany 7 4 0.2× 8 0.4× 29 1.8× 55 3.9× 8 0.6× 9 125
Mohammad Salhia Canada 5 4 0.2× 42 2.0× 5 0.3× 12 0.9× 15 1.1× 8 120
Louise Holly Switzerland 7 4 0.2× 49 2.3× 7 0.4× 30 2.1× 19 1.4× 11 105
Abdulmueti Alhadi Libya 3 5 0.2× 34 1.6× 10 0.6× 10 0.7× 5 0.4× 4 95

Countries citing papers authored by Jonathan E. Bogard

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Bogard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Bogard. 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 Jonathan E. Bogard. The network helps show where Jonathan E. Bogard may publish in the future.

Co-authorship network of co-authors of Jonathan E. Bogard

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

All Works

8 of 8 papers shown
1.
Bogard, Jonathan E., et al.. (2024). Social inferences from choice context: Dominated options can engender distrust. Organizational Behavior and Human Decision Processes. 183. 104337–104337.
2.
Szilagyi, Peter G., Alejandra Casillas, O. Kenrik Duru, et al.. (2023). Evaluation of behavioral economic strategies to raise influenza vaccination rates across a health system: Results from a randomized clinical trial. Preventive Medicine. 170. 107474–107474. 9 indexed citations
3.
Fernbach, Philip M. & Jonathan E. Bogard. (2023). Conspiracy Theory as Individual and Group Behavior: Observations from the Flat Earth International Conference. Topics in Cognitive Science. 16(2). 187–205. 8 indexed citations
4.
Even-Tov, Omri, et al.. (2023). Sharing names and information: Incidental similarities between CEOs and analysts can lead to favoritism in information disclosure. Proceedings of the National Academy of Sciences. 120(49). e2311250120–e2311250120. 2 indexed citations
5.
Ülkümen, Gülden, et al.. (2022). Lay theories of financial well-being predict political and policy message preferences.. Journal of Personality and Social Psychology. 122(2). 310–336. 7 indexed citations
6.
Szilagyi, Peter G., Christina Albertin, Alejandra Casillas, et al.. (2021). Effect of Personalized Messages Sent by a Health System’s Patient Portal on Influenza Vaccination Rates: a Randomized Clinical Trial. Journal of General Internal Medicine. 37(3). 615–623. 15 indexed citations
7.
Lerner, Carlos, Christina Albertin, Alejandra Casillas, et al.. (2021). Patient Portal Reminders for Pediatric Influenza Vaccinations: A Randomized Clinical Trial. PEDIATRICS. 148(2). 11 indexed citations
8.
Bogard, Jonathan E., et al.. (2020). Target, distance, and valence: Unpacking the effects of normative feedback. Organizational Behavior and Human Decision Processes. 161. 61–73. 15 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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