George Karabatsos
- Management Science and Operations Research top 2%
- Pathology and Forensic Medicine top 5%
- Sociology and Political Science top 5%
- Gender Studies top 2%
- Statistics and Probability top 2%
- Co-authors
- Sarah E. UllmanMary P. KossStephen G. WalkerB. G. W. ArnasonJennifer M. StewartKelly K. DineenKimberly WebsterChih‐Hung Chang
- Topics
- Statistical Methods and Bayesian Inference (24 papers)Bayesian Methods and Mixture Models (17 papers)Statistical Methods and Inference (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
George Karabatsos
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 143
- Management Science and Operations Research 291
- Pathology and Forensic Medicine 280
- Sociology and Political Science 268
- Gender Studies 264
- Statistics and Probability 253
Countries citing papers authored by George Karabatsos
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | Fast Marginal Likelihood Estimation of the Ridge Parameter in Ridge Regression | 1 |
| 11 | Making Sense of Minority Student Identification in Special Education: School Context Matters. | 10 |
| 12 | 26 | |
| 13 | Modeling Heteroscedasticity In The Single-Index Model With The Dirichlet Process | 5 |
| 14 | 14 | |
| 15 | 13 | |
| 16 | Evaluation and Comparison of Burnout Levels in Basketball, Volleyball and Track and Field Coaches | 10 |
| 17 | Order-Constrained Bayes Inference for Dichotomous Models of Unidimensional | 1 |
| 18 | 3 | |
| 19 | The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory. | 123 |
| 20 | 335 |
About George Karabatsos
George Karabatsos is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (13 papers). The work is most often cited by research in General Decision Sciences (77 citations), Statistics and Probability (253 citations) and Gender Studies (264 citations). George Karabatsos has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sarah E. Ullman, Mary P. Koss, Stephen G. Walker, B. G. W. Arnason, Jennifer M. Stewart, Kelly K. Dineen, Kimberly Webster, Chih‐Hung Chang, David Cella and Fei Mo. Their work appears in journals such as Neurology, Statistics in Medicine and Psychometrika.
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.