Bryan McLaughlin

753 citations
42 papers · 535 · h-index 15

Impact in

    • Media Studies and Communication
    • Social Media and Politics
    • Journalism and Media Studies
    • Media Influence and Politics
    • Social and Intergroup Psychology
    • Misinformation and Its Impacts

Papers in

Bryan McLaughlin

41 papers receiving 508 citations

Peers

Bryan McLaughlin
Comparison fields: 5 of 60
  • Communication 195
  • Sociology and Political Science 209
  • Health 32
  • Gender Studies 38
  • Social Psychology 48
Replace Nicole Smith Dahmen with:
Nicole Smith Dahmen United States
Anita Atwell Seate United States
Leah Waks United States
Julius Matthew Riles United States
Sarah Geber Switzerland
Ryan Frazer Australia
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Simon Cottee United Kingdom
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Ranjana Das United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Bryan McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Bryan McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan McLaughlin. 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 Bryan McLaughlin. The network helps show where Bryan McLaughlin may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan McLaughlin, 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 Bryan McLaughlin Line = papers co-authored together Bryan McLaughlin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201352
2 201640
3 201637
4 201430
5 201225
6 201923
7 201923
8 202223
9 201322
10 201921
11 201820
12 201718
13 201716
14 201916
15 201916
16 201614
17 202114
18 201713
19 201810
20 20169

About Bryan McLaughlin

Bryan McLaughlin is a scholar working on Communication, Literature and Literary Theory, Sociology and Political Science, General Health Professions and Political Science and International Relations, having authored 42 papers that have together received 535 indexed citations. Recurring topics across this work include Media Studies and Communication (14 papers), Social Media and Politics (10 papers), Media Influence and Health (8 papers), Electoral Systems and Political Participation (7 papers), Media Influence and Politics (6 papers), Social and Intergroup Psychology (6 papers), Health Literacy and Information Accessibility (6 papers) and Journalism and Media Studies (3 papers). The work is most often cited by research in Communication (195 citations), Sociology and Political Science (209 citations), Health (32 citations), Gender Studies (38 citations) and Social Psychology (48 citations). Bryan McLaughlin has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Melissa R. Gotlieb, David A. Wise, John A. Velez, David H. Gustafson, Dhavan V. Shah, Woohyun Yoo, R. Glenn Cummins, Kang Namkoong, Devin J. Mills and Lindsey Erin Blumell. Their work appears in journals such as Health Communication, Communication Research Reports, Politics and Religion, Social Science Computer Review and Mass Communication & Society.

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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