Murray Aitkin

21.0k citations
110 papers · 16.2k indexed · 3 hit papers · h-index 36

Murray Aitkin

104 papers receiving 14.4k citations

Hit Papers

Statistical Modelling in GLIM64619812026199620112.5k5.0k7.5k

Peers

Murray Aitkin
Comparison fields: 5 of 226
  • Statistics and Probability 5.1k
  • Management Science and Operations Research 2.1k
  • Statistics, Probability and Uncertainty 643
  • Economics and Econometrics 1.9k
  • Artificial Intelligence 1.6k
Replace Alan Agresti with:
Alan Agresti United States
D. R. Cox United Kingdom
Richard L. Tweedie Australia
Peter McCullagh Australia
David R. Cox United States
William S. Cleveland United States
Frederick Mosteller United States
Peter A. Lachenbruch United States
John D. Kalbfleisch United States
Scott L. Zeger United States
Murray Aitkin relative to Alan Agresti United States Alan Agresti's profile →
Citations per field
00.5×1.5×
Alan Agresti · 1×
Citations per year

Countries citing papers authored by Murray Aitkin

Since Specialization
Citations

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

Fields of papers citing papers by Murray Aitkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20183
2
Bayesian Nonparametric Inference Why and How Comment
20130
3
Applications of the Bayesian bootstrap in finite population inference
200813
4 200611
5 200230
6
A Comparison of Random CoefficientModelling and Geographically WeightedRegression for Spatially Non-stationaryRegression Problems
19993
7 1999281
8 199983
9 19984
10 199515
11 19953
12
Une étude comparative d'analyses des correspondances ou de classifications et des modèles de variables latentes ou de classes latentes
19874
13
Statistical modelling issues in school effectiveness studies.
1986445
14 19868
15 198372
16
Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithmbreakdown →
19811710
17 1980134
18 1980136
19 197218
20 19694

About Murray Aitkin

Murray Aitkin is a scholar working on Statistics and Probability, Management Science and Operations Research, Anatomy, Artificial Intelligence and Transplantation, having authored 110 papers that have together received 16.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (33 papers), Statistical Methods and Inference (23 papers), Advanced Statistical Methods and Models (23 papers), Bayesian Methods and Mixture Models (17 papers), Statistical Distribution Estimation and Applications (11 papers), School Choice and Performance (5 papers), Census and Population Estimation (5 papers) and Statistical Methods and Applications (5 papers). The work is most often cited by research in Statistics and Probability (5.1k citations), Management Science and Operations Research (2.1k citations), Statistics, Probability and Uncertainty (643 citations), Economics and Econometrics (1.9k citations) and Artificial Intelligence (1.6k citations). Murray Aitkin has collaborated with scholars based in United Kingdom, Australia and Ghana. Frequent co-authors include John D. Kalbfleisch, Ross L. Prentice, R. Darrell Bock, John Hinde, Dorothy A. Anderson, Brian Francis, Nicholas T. Longford, Robin Flowerdew, Leslie M. Moore and Donald B. Rubin. Their work appears in journals such as Statistics and Computing, Biometrika, Biometrics, Technometrics and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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