Paul Kabaila
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 5%
- Finance top 10%
- Artificial Intelligence
- Co-authors
- Chris J. LloydJohn ByrneKhageswor GiriHannes LeebGraham C. GoodwinA. H. WelshG. NelsonT. Lwin
- Topics
- Statistical Methods and Inference (41 papers)Statistical Methods and Bayesian Inference (30 papers)Advanced Statistical Methods and Models (28 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyGeneral Economics, Econometrics and Finance
- Journals
- Journal of the American Statistical AssociationTechnometricsIEEE Transactions on Automatic Control
- Partner nations
- AustraliaUnited StatesSri Lanka
In The Last Decade
Paul Kabaila
79 papers receiving 710 citations
Peers
Comparison fields: 5 of 75
- Statistics and Probability 540
- Statistics, Probability and Uncertainty 134
- Management Science and Operations Research 93
- Finance 86
- Artificial Intelligence 78
Countries citing papers authored by Paul Kabaila
This map shows the geographic impact of Paul Kabaila'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 Paul Kabaila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kabaila more than expected).
Fields of papers citing papers by Paul Kabaila
This network shows the impact of papers produced by Paul Kabaila. 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 Paul Kabaila. The network helps show where Paul Kabaila may publish in the future.
Co-authorship network of co-authors of Paul Kabaila
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kabaila. A scholar is included among the top collaborators of Paul Kabaila 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 Paul Kabaila. Paul Kabaila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 1 |
About Paul Kabaila
Paul Kabaila is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 81 papers that have together received 754 indexed citations. Recurring topics across this work include Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (30 papers) and Advanced Statistical Methods and Models (28 papers). The work is most often cited by research in Statistics and Probability (540 citations), Statistics, Probability and Uncertainty (134 citations) and General Economics, Econometrics and Finance (72 citations). Paul Kabaila has collaborated with scholars based in Australia, United States and Sri Lanka. Frequent co-authors include Chris J. Lloyd, John Byrne, Khageswor Giri, Hannes Leeb, Graham C. Goodwin, A. H. Welsh, G. Nelson, T. Lwin and Tung Sang Ng. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.
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.