Shannon L. Bichard

1.7k total citations
28 papers, 1.2k citations indexed

About

Shannon L. Bichard is a scholar working on Communication, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Shannon L. Bichard has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Communication, 8 papers in Sociology and Political Science and 6 papers in Gender Studies. Recurrent topics in Shannon L. Bichard's work include Social Media and Politics (11 papers), Media Studies and Communication (9 papers) and Media, Gender, and Advertising (4 papers). Shannon L. Bichard is often cited by papers focused on Social Media and Politics (11 papers), Media Studies and Communication (9 papers) and Media, Gender, and Advertising (4 papers). Shannon L. Bichard collaborates with scholars based in United States and Netherlands. Shannon L. Bichard's co-authors include Thomas J. Johnson, Weiwu Zhang, John H. Parmelee, Trent Seltzer, S. Rachman, Barbara K. Kaye, Moon J. Lee, Coy Callison, Thomas C. Johnson and Todd Chambers and has published in prestigious journals such as Clinical Psychology Review, Journal of Computer-Mediated Communication and Public Relations Review.

In The Last Decade

Shannon L. Bichard

24 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannon L. Bichard United States 13 805 584 172 126 101 28 1.2k
Trevor Diehl United States 18 767 1.0× 748 1.3× 147 0.9× 141 1.1× 95 0.9× 30 1.1k
Michael A. Beam United States 16 584 0.7× 533 0.9× 145 0.8× 116 0.9× 92 0.9× 34 924
Chang Sup Park United States 16 612 0.8× 675 1.2× 94 0.5× 101 0.8× 121 1.2× 45 996
Jakob Ohme Netherlands 19 522 0.6× 643 1.1× 129 0.8× 103 0.8× 44 0.4× 44 972
Alberto Ardèvol‐Abreu Spain 15 1.1k 1.3× 926 1.6× 160 0.9× 186 1.5× 128 1.3× 39 1.4k
Rachel L. Neo United States 9 326 0.4× 496 0.8× 118 0.7× 66 0.5× 60 0.6× 20 705
Michael E. Huge United States 11 340 0.4× 421 0.7× 97 0.6× 56 0.4× 53 0.5× 17 918
Veronika Karnowski Germany 14 560 0.7× 736 1.3× 41 0.2× 79 0.6× 63 0.6× 38 1.1k
Matthew Barnidge United States 21 1.0k 1.3× 867 1.5× 206 1.2× 237 1.9× 127 1.3× 42 1.3k
Lindsay H. Hoffman United States 15 497 0.6× 446 0.8× 154 0.9× 61 0.5× 32 0.3× 31 871

Countries citing papers authored by Shannon L. Bichard

Since Specialization
Citations

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

Fields of papers citing papers by Shannon L. Bichard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon L. Bichard. 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 Shannon L. Bichard. The network helps show where Shannon L. Bichard may publish in the future.

Co-authorship network of co-authors of Shannon L. Bichard

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

All Works

20 of 20 papers shown
1.
Bichard, Shannon L., Trent Seltzer, Lisa A. Thompson, et al.. (2023). Bias in the trauma bay: A multicenter qualitative study on team communication. The Journal of Trauma: Injury, Infection, and Critical Care. 94(6). 771–777. 4 indexed citations
2.
Bichard, Shannon L., et al.. (2022). Covid-19 And Movie Theaters. Journal of Student Research. 11(4).
3.
Bichard, Shannon L., et al.. (2022). Advercasting: Young Adult Preferences for Advertising Placement in Podcasts. 23(4). 2 indexed citations
5.
Bichard, Shannon L., et al.. (2020). Prosocial consumer socialization: how socialization agents impact prosocial attitudes and behavior. Atlantic Journal of Communication. 29(3). 136–150. 3 indexed citations
6.
Bichard, Shannon L., et al.. (2019). Exploring Ads of the World: How Social Issues Are Framed in Global Advertisements. Howard Journal of Communications. 31(2). 150–170. 7 indexed citations
7.
Bichard, Shannon L., et al.. (2017). This Offer Self-Destructs in 3… 2… 1…: Improving the Effectiveness of “That's-Not-All” Techniques in Promotional Emails. Journal of Promotion Management. 24(1). 39–56. 1 indexed citations
8.
Bichard, Shannon L., et al.. (2016). What's the Score?: A Content Analysis of Mature Adults in Super Bowl Commercials. Howard Journal of Communications. 27(4). 347–366. 5 indexed citations
9.
Bichard, Shannon L., et al.. (2013). Digital house calls: US healthcare professionals and online media communication. Journal of Communications In Healthcare. 6(4). 187–196. 1 indexed citations
10.
Bichard, Shannon L., et al.. (2012). Public Opinion on YouTube. RePEc: Research Papers in Economics. 3(2). 1–15. 1 indexed citations
11.
Parmelee, John H. & Shannon L. Bichard. (2011). Politics and the Twitter Revolution. Lexington Books. 21 indexed citations
12.
Parmelee, John H. & Shannon L. Bichard. (2011). Politics and the Twitter Revolution: How Tweets Influence the Relationship between Political Leaders and the Public. Medical Entomology and Zoology. 194 indexed citations
13.
Johnson, Thomas J., Weiwu Zhang, & Shannon L. Bichard. (2010). Voices of Convergence or Conflict? A Path Analysis Investigation of Selective Exposure to Political Websites. Social Science Computer Review. 29(4). 449–469. 39 indexed citations
14.
Zhang, Weiwu, Thomas J. Johnson, Trent Seltzer, & Shannon L. Bichard. (2009). The Revolution Will be Networked. Social Science Computer Review. 28(1). 75–92. 324 indexed citations
15.
Johnson, Thomas J., Shannon L. Bichard, & Weiwu Zhang. (2009). Communication Communities or ���CyberGhettos?���: A Path Analysis Model Examining Factors that Explain Selective Exposure to Blogs. Journal of Computer-Mediated Communication. 15(1). 60–82. 88 indexed citations
16.
Lee, Moon J., et al.. (2009). Television Viewing and Ethnic Stereotypes: Do College Students Form Stereotypical Perceptions of Ethnic Groups as a Result of Heavy Television Consumption?. Howard Journal of Communications. 20(1). 95–110. 44 indexed citations
17.
Johnson, Thomas C., Weiwu Zhang, & Shannon L. Bichard. (2008). Revived and Refreshed: Selective Exposure to Blogs and Political Websites. 1–39. 6 indexed citations
18.
Lee, Moon J. & Shannon L. Bichard. (2006). Effective Message Design Targeting College Students for the Prevention of Binge-Drinking: Basing Design on Rebellious Risk-Taking Tendency. Health Communication. 20(3). 299–308. 12 indexed citations
19.
Bichard, Shannon L., Marilyn S. Roberts, & John C. Sutherland. (2000). Group Personality and Performance: A Model for Managing Advertising Student Teams. Journal of Advertising Education. 4(2). 41–54.
20.
Rachman, S. & Shannon L. Bichard. (1988). The overprediction of fear. Clinical Psychology Review. 8(3). 303–312. 90 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026