Jacquelyn Burkell

80 papers receiving 2.6k citations

Jacquelyn Burkell's Hit Papers

Believe it or not: Factors influencing credibility on the Web 2001 · 835 citations
8350+8+16Years since publication250500750

Peers

Jacquelyn Burkell
Comparison fields: 5 of 153
  • Communication 459
  • Information Systems and Management 287
  • Cognitive Neuroscience 725
  • Health Informatics 36
  • Library and Information Sciences 39
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Countries citing papers authored by Jacquelyn Burkell

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn Burkell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Believe it or not: Factors influencing credibility on the Web
Hit paper breakdown →
2001835
2 1983257
3 1983246
4 1983122
5 2013104
6 199489
7 202086
8
What are the chances? Evaluating risk and benefit information in consumer health materials.
200470
9 200664
10
Facets of serendipity in everyday chance encounter: A grounded theory approach to blog analysis
201159
11 201459
12 200357
13 202246
14 200443
15 199741
16 201640
17 199839
18 201237
19 201931
20 201729

About Jacquelyn Burkell

Jacquelyn Burkell is a scholar working on Sociology and Political Science, Communication, Artificial Intelligence, Law and Information Systems, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (13 papers), Social Media and Politics (12 papers), Legal Education and Practice Innovations (9 papers), Artificial Intelligence in Law (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Law in Society and Culture (6 papers), Focus Groups and Qualitative Methods (5 papers) and Child Development and Digital Technology (5 papers). The work is most often cited by research in Communication (459 citations), Information Systems and Management (287 citations), Cognitive Neuroscience (725 citations), Health Informatics (36 citations) and Library and Information Sciences (39 citations). Jacquelyn Burkell has collaborated with scholars based in Canada, United States and Slovenia. Frequent co-authors include C. Nadine Wathen, Daniel Kahneman, Anne Treisman, Chandell Gosse, Priscilla M. Regan, Jane Bailey, Valerie Steeves, Zenon W. Pylyshyn, Anabel Quan‐Haase and Victoria L. Rubin. Their work appears in journals such as First Monday, Proceedings of the American Society for Information Science and Technology, Journal of Experimental Psychology Human Perception & Performance, Information Communication & Society and Medical Decision Making.

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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