Sean McCusker

516 total citations
31 papers, 216 citations indexed

About

Sean McCusker is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Sean McCusker has authored 31 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 12 papers in Education and 7 papers in Artificial Intelligence. Recurrent topics in Sean McCusker's work include Statistics Education and Methodologies (15 papers), Data Analysis with R (6 papers) and Innovations in Educational Methods (4 papers). Sean McCusker is often cited by papers focused on Statistics Education and Methodologies (15 papers), Data Analysis with R (6 papers) and Innovations in Educational Methods (4 papers). Sean McCusker collaborates with scholars based in United Kingdom, Switzerland and Germany. Sean McCusker's co-authors include Jim Ridgway, James Nicholson, Terry Wrigley, N. Toy, Eric Savory, Peter J. Disimile, J. Gallagher, Paul Redmond, J. W. Nicholson and Jianghuai Wang and has published in prestigious journals such as Canadian Journal of Anesthesia/Journal canadien d anesthésie, Assessment in Education Principles Policy and Practice and Sociological Research Online.

In The Last Decade

Sean McCusker

27 papers receiving 181 citations

Peers

Sean McCusker
Comparison fields: 5 of 64
  • Statistics and Probability 78
  • Education 72
  • Developmental and Educational Psychology 41
  • Artificial Intelligence 27
  • Sociology and Political Science 17
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Citations per field, relative to Sean McCusker
Sean McCusker · 1×
Citations per year, relative to Sean McCusker
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Countries citing papers authored by Sean McCusker

Since Specialization
Citations

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

Fields of papers citing papers by Sean McCusker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean McCusker

This figure shows the co-authorship network connecting the top 25 collaborators of Sean McCusker. A scholar is included among the top collaborators of Sean McCusker 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 Sean McCusker. Sean McCusker 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
# Work Indexed citations
1 0
2 0
3 1
4 34
5 9
6 3
7 2
8 1
9
STATISTICS ASSESSMENT: THE GOOD, THE BAD, AND THE UGLY
2
10 2
11 2
12
REASONING WITH EVIDENCE – DEVELOPING CURRICULUM
0
13 1
14 1
15 29
16 6
17
Uncovering student statistical competences via new interfaces.
1
18 30
19 17
20
The interaction region associated with twin jets and a normal crossflow
10

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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