George Karabatsos

2.2k total citations
54 papers, 1.6k citations indexed

About

George Karabatsos is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, George Karabatsos has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. Recurrent topics in George Karabatsos's work include Statistical Methods and Bayesian Inference (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (13 papers). George Karabatsos is often cited by papers focused on Statistical Methods and Bayesian Inference (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (13 papers). George Karabatsos collaborates with scholars based in United States, United Kingdom and Canada. George Karabatsos's co-authors include Mary P. Koss, Sarah E. Ullman, Stephen G. Walker, Kelly K. Dineen, Chih‐Hung Chang, Fei Mo, B. G. W. Arnason, Jennifer M. Stewart, Dusan Stefoski and Stephen Lloyd and has published in prestigious journals such as Neurology, Statistics in Medicine and Psychometrika.

In The Last Decade

George Karabatsos

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Karabatsos United States 15 291 280 268 264 253 54 1.6k
Felix Thoemmes United States 22 136 0.5× 25 0.1× 509 1.9× 63 0.2× 426 1.7× 49 2.5k
Stuart E. Wugalter United States 9 70 0.2× 34 0.1× 170 0.6× 75 0.3× 154 0.6× 9 1.0k
Mark Reiser United States 15 121 0.4× 57 0.2× 172 0.6× 23 0.1× 148 0.6× 28 1.5k
Geofferey N. Masters Australia 14 511 1.8× 29 0.1× 146 0.5× 22 0.1× 227 0.9× 23 2.1k
R. Philip Chalmers Canada 15 778 2.7× 17 0.1× 230 0.9× 39 0.1× 378 1.5× 31 2.4k
Mark H. Stone United States 12 492 1.7× 31 0.1× 142 0.5× 16 0.1× 187 0.7× 50 2.0k
W. Todd Rogers Canada 22 229 0.8× 29 0.1× 156 0.6× 35 0.1× 89 0.4× 83 1.9k
Axel Mayer Germany 18 122 0.4× 32 0.1× 171 0.6× 21 0.1× 167 0.7× 67 1.2k
Carol M. Woods United States 30 662 2.3× 26 0.1× 356 1.3× 27 0.1× 328 1.3× 53 3.7k
Paul S. Davies United States 22 35 0.1× 28 0.1× 281 1.0× 50 0.2× 140 0.6× 100 3.0k

Countries citing papers authored by George Karabatsos

Since Specialization
Citations

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

Fields of papers citing papers by George Karabatsos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Karabatsos

This figure shows the co-authorship network connecting the top 25 collaborators of George Karabatsos. A scholar is included among the top collaborators of George Karabatsos 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 George Karabatsos. George Karabatsos 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
1.
Karabatsos, George, et al.. (2021). Dirichlet process mixture models with shrinkage prior. Stat. 10(1). 3 indexed citations
2.
Karabatsos, George. (2020). Fast Search and Estimation of Bayesian Nonparametric Mixture Models Using a Classification Annealing EM Algorithm. Journal of Computational and Graphical Statistics. 30(1). 236–247. 1 indexed citations
3.
Karabatsos, George, et al.. (2018). A Bayesian Beta-Mixture Model for Nonparametric IRT (BBM-IRT). Journal of Modern Applied Statistical Methods. 17(1). 1 indexed citations
4.
Karabatsos, George. (2017). On Bayesian Testing of Additive Conjoint Measurement Axioms Using Synthetic Likelihood. Psychometrika. 83(2). 321–332. 6 indexed citations
5.
Karabatsos, George. (2017). Marginal maximum likelihood estimation methods for the tuning parameters of ridge, power ridge, and generalized ridge regression. Communications in Statistics - Simulation and Computation. 47(6). 1632–1651. 9 indexed citations
6.
Talbott, Elizabeth, et al.. (2017). Informant similarities, twin studies, and the assessment of externalizing behavior: A meta-analysis. Journal of School Psychology. 67. 31–55. 7 indexed citations
7.
Karabatsos, George. (2016). A Dirichlet process functional approach to heteroscedastic-consistent covariance estimation. International Journal of Approximate Reasoning. 78. 210–222. 2 indexed citations
8.
Karabatsos, George. (2016). A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation. Behavior Research Methods. 49(1). 335–362. 14 indexed citations
9.
Karabatsos, George. (2015). Fast Marginal Likelihood Estimation of the Ridge Parameter in Ridge Regression. arXiv (Cornell University). 1 indexed citations
10.
Fujimoto, Ken & George Karabatsos. (2013). Dependent Dirichlet Process Rating Model. Applied Psychological Measurement. 38(3). 217–228. 1 indexed citations
11.
Talbott, Elizabeth, et al.. (2011). Making Sense of Minority Student Identification in Special Education: School Context Matters.. International Journal of Special Education (IJSE). 26(3). 150–170. 10 indexed citations
12.
Karabatsos, George & Stephen G. Walker. (2011). Bayesian nonparametric mixed random utility models. Computational Statistics & Data Analysis. 56(6). 1714–1722. 4 indexed citations
13.
Karabatsos, George. (2008). Modeling Heteroscedasticity In The Single-Index Model With The Dirichlet Process. 5 indexed citations
14.
Gibbons, Robert D., Eisuke Segawa, George Karabatsos, et al.. (2008). Mixed‐effects Poisson regression analysis of adverse event reports: The relationship between antidepressants and suicide. Statistics in Medicine. 27(11). 1814–1833. 26 indexed citations
15.
Karabatsos, George, et al.. (2006). Evaluation and Comparison of Burnout Levels in Basketball, Volleyball and Track and Field Coaches. 13(1). 79–83. 10 indexed citations
16.
Karabatsos, George. (2005). Bayesian nonparametric model selection and model testing. Journal of Mathematical Psychology. 50(2). 123–148. 34 indexed citations
17.
Karabatsos, George, et al.. (2004). Order-Constrained Bayes Inference for Dichotomous Models of Unidimensional. 1 indexed citations
18.
Hendrix, Cristina C., et al.. (2003). The Use of the Minimum Data Set to Identify Depression in the Elderly. Journal of the American Medical Directors Association. 4(6). 308–312. 3 indexed citations
19.
Karabatsos, George. (2001). The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory.. PubMed. 2(4). 389–423. 123 indexed citations
20.
Cella, David, Kelly K. Dineen, B. G. W. Arnason, et al.. (1996). Validation of the Functional Assessment of Multiple Sclerosis quality of life instrument. Neurology. 47(1). 129–139. 335 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Felix Thoemmes Breakdown of academic impact, for papers by Stuart E. Wugalter Breakdown of academic impact, for papers by Mark Reiser Breakdown of academic impact, for papers by Geofferey N. Masters Breakdown of academic impact, for papers by R. Philip Chalmers Breakdown of academic impact, for papers by Mark H. Stone Breakdown of academic impact, for papers by W. Todd Rogers Breakdown of academic impact, for papers by Axel Mayer Breakdown of academic impact, for papers by Carol M. Woods Breakdown of academic impact, for papers by Paul S. Davies
Rankless by CCL
2026