Jay M. Bernhardt

6.6k citations
81 papers · 4.3k indexed · 2 hit papers · h-index 35

Jay M. Bernhardt

79 papers receiving 4.1k citations

Hit Papers

Mobile Text Messaging for Health: A Systematic Review of ...6122015202620182022200400600

Peers

Jay M. Bernhardt
Comparison fields: 5 of 160
  • Applied Psychology 802
  • General Health Professions 2.1k
  • Health 637
  • Communication 341
  • Family Practice 64
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Citations per field
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Citations per year

Countries citing papers authored by Jay M. Bernhardt

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Bernhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay M. Bernhardt. 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 Jay M. Bernhardt. The network helps show where Jay M. Bernhardt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jay M. Bernhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay M. Bernhardt Line = papers co-authored together Jay M. Bernhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 20164
3 201686
4 201542
5 201535
6 20157
7 201543
8 201236
9 201271
10 200968
11 200822
12
Sexually explicit content viewed by teens on the internet
20083
13
A call to action to address diversity in public health professional preparation
20081
14 200426
15
Impaired Driving Behaviors among College Students: A Comparison of Web-Based Daily Assessment and Retrospective Timeline Followback.
20047
16 2004255
17 200322
18
Tailoring Messages and Design in a Web-Based Skin Cancer Prevention Intervention
200111
19
Effects and Perceptions of a Narrative Anti-Violence Public Service Announcement
20000
20 199899

About Jay M. Bernhardt

Jay M. Bernhardt is a scholar working on Applied Psychology, Health, General Health Professions, Communication and Sociology and Political Science, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (16 papers), Health Literacy and Information Accessibility (14 papers), Impact of Technology on Adolescents (14 papers), Behavioral Health and Interventions (11 papers), Social Media in Health Education (11 papers), Digital Mental Health Interventions (7 papers), Media Influence and Health (6 papers) and Public Relations and Crisis Communication (6 papers). The work is most often cited by research in Applied Psychology (802 citations), General Health Professions (2.1k citations), Health (637 citations), Communication (341 citations) and Family Practice (64 citations). Jay M. Bernhardt has collaborated with scholars based in United States, Germany and Uganda. Frequent co-authors include Amanda Hall, Heather Cole-Lewis, Elizabeth M. Felter, Darren Mays, Hannah Payne, Joshua H. West, Cameron Lister, Amanda K. Hall, Matthew W. Kreuter and Allison J. Lazard. Their work appears in journals such as Health Education & Behavior, Health Promotion Practice, Journal of Health Communication, American Journal of Public Health and American Journal of Preventive Medicine.

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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