C. J. Burke

1.1k total citations
12 papers, 584 citations indexed

About

C. J. Burke is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, C. J. Burke has authored 12 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in C. J. Burke's work include Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods in Clinical Trials (1 paper). C. J. Burke is often cited by papers focused on Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods in Clinical Trials (1 paper). C. J. Burke collaborates with scholars based in United States. C. J. Burke's co-authors include W. K. Estes, M. Rosenblatt, Ralph M. Reitan, Lawrence Wheeler, R. C. Atkinson, Michael Cole, Patrick Suppes and Richard C. Atkinson and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Psychological Review.

In The Last Decade

C. J. Burke

12 papers receiving 429 citations

Peers

C. J. Burke
Comparison fields: 5 of 101
  • Artificial Intelligence 138
  • Cognitive Neuroscience 107
  • Statistics and Probability 101
  • Developmental and Educational Psychology 92
  • Mathematical Physics 48
Replace Harold Gulliksen with:
Harold Gulliksen United States
Robert L. Causey United States
J. E. Keith Smith United States
P. Suppes United States
Mervyn Stone United Kingdom
Evert W. Beth Netherlands
Edward J. Crothers United States
Daniel D. Wheeler United States
Dwight W. Curtis Canada
Michael M. Meyer United States
Harold Gulliksen United States View profile →
Citations per field, relative to C. J. Burke
C. J. Burke · 1×
Citations per year, relative to C. J. Burke
C. J. Burke · 1×

Countries citing papers authored by C. J. Burke

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of C. J. Burke. A scholar is included among the top collaborators of C. J. Burke 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 C. J. Burke. C. J. Burke 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
# Work Indexed citations
1
Mathematical model techniques for learning theories
23
2 11
3 68
4 6
5 163
6 65
7 34
8 29
9 23
10 153
11 4
12 5

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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2026