Camille J. Saucier

634 citations
12 papers · 364 indexed · 1 hit paper · h-index 7
Topics
Misinformation and Its Impacts (6 papers)Media Influence and Health (4 papers)Media Studies and Communication (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of CommunicationHuman Communication Research
Partner nations
United StatesIsrael

In The Last Decade

Camille J. Saucier

12 papers receiving 354 citations

Hit Papers

Evaluating the Impact of Attempts to Correct Health Misin...2020202620222024202050100150200

Peers

Camille J. Saucier
Comparison fields: 5 of 56
  • Sociology and Political Science 274
  • Literature and Literary Theory 122
  • Communication 104
  • Artificial Intelligence 70
  • Health 68
Replace Danielle Ka Lai Lee with:
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Camille J. Saucier relative to Danielle Ka Lai Lee United States Danielle Ka Lai Lee's profile →
Citations per field
00.5×1.6×
Danielle Ka Lai Lee · 1×
Citations per year

Countries citing papers authored by Camille J. Saucier

Since Specialization
Citations

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

Fields of papers citing papers by Camille J. Saucier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camille J. Saucier. 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 Camille J. Saucier. The network helps show where Camille J. Saucier may publish in the future.

Co-authorship network of co-authors of Camille J. Saucier

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 7
6 11
7 6
8
“Trust, Then Verify”: When and Why People Fact-Check Partisan Information
6
9
Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysisbreakdown →
220
10 92
11 9
12 9

About Camille J. Saucier

Camille J. Saucier is a scholar working on Communication, Literature and Literary Theory and Gender Studies, having authored 12 papers that have together received 364 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (6 papers), Media Influence and Health (4 papers) and Media Studies and Communication (3 papers). The work is most often cited by research in Communication (104 citations), Literature and Literary Theory (122 citations) and Health (68 citations). Camille J. Saucier has collaborated with scholars based in United States and Israel. Frequent co-authors include Nathan Walter, Sapna Suresh, John J. Brooks, Riva Tukachinsky, Sheila T. Murphy, Jorge A. Montoya, Jonathan Cohen, Stephanie Edgerly, Robin L. Nabi and Aaron Plant. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Communication and Human Communication Research.

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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