Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Believe it or not: Factors influencing credibility on the Web
2001769 citationsJacquelyn Burkell et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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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
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-authorship network of co-authors of Jacquelyn Burkell
This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn Burkell.
A scholar is included among the top collaborators of Jacquelyn Burkell 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 Jacquelyn Burkell. Jacquelyn Burkell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bailey, Jane & Jacquelyn Burkell. (2017). Revisiting the Open Court Principle in an Era of Online Publication: Questioning Presumptive Public Access to Parties' and Witnesses' Personal Information. Scholarship@Western (Western University). 48. 1–42.4 indexed citations
8.
Bailey, Jane & Jacquelyn Burkell. (2013). Implementing technology in the justice sector: A Canadian perspective.. eYLS (Yale Law School). 11(2). 253–253.4 indexed citations
McKenzie, Pamela J., et al.. (2012). User-generated content 1: Overview, current state, and context. First Monday. 17(6). 413–422.1 indexed citations
11.
Rubin, Victoria L., Jacquelyn Burkell, & Anabel Quan‐Haase. (2011). Facets of serendipity in everyday chance encounter: A grounded theory approach to blog analysis. Scholarship@Western (Western University). 16(3).53 indexed citations
Kerr, Ian R., et al.. (2006). Let's Not Get Psyched Out of Privacy: Reflections on Withdrawing Consent to the Collection, Use and Disclosure of Personal Information. Scholarship@Western (Western University). 44. 54–71.1 indexed citations
16.
Burkell, Jacquelyn. (2006). Anonymity in Behavioural Research: Not Being Unnamed, But Being Unknown. Scholarship@Western (Western University). 3(1). 189–203.5 indexed citations
17.
Kerr, Ian R., et al.. (2006). Soft Surveillance, Hard Consent. SSRN Electronic Journal.3 indexed citations
Pylyshyn, Zenon W., Jacquelyn Burkell, Brian Fisher, et al.. (1994). Multiple parallel access in visual attention.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 48(2). 260–283.85 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.