K. B. Kulasekera
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Lloyd W. CondraColin GallagherWei LinQi ZhengW. J. PadgettChanseok ParkDavid W. TonkynSomnath Datta
- Topics
- Statistical Methods and Inference (38 papers)Statistical Methods and Bayesian Inference (14 papers)Advanced Statistical Methods and Models (14 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesNorwayFrance
In The Last Decade
K. B. Kulasekera
48 papers receiving 720 citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 510
- Statistics, Probability and Uncertainty 154
- Artificial Intelligence 129
- Management Science and Operations Research 94
- Safety, Risk, Reliability and Quality 59
Countries citing papers authored by K. B. Kulasekera
This map shows the geographic impact of K. B. Kulasekera'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 K. B. Kulasekera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. B. Kulasekera more than expected).
Fields of papers citing papers by K. B. Kulasekera
This network shows the impact of papers produced by K. B. Kulasekera. 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 K. B. Kulasekera. The network helps show where K. B. Kulasekera may publish in the future.
Co-authorship network of co-authors of K. B. Kulasekera
This figure shows the co-authorship network connecting the top 25 collaborators of K. B. Kulasekera. A scholar is included among the top collaborators of K. B. Kulasekera 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 K. B. Kulasekera. K. B. Kulasekera 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 65 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 9 |
About K. B. Kulasekera
K. B. Kulasekera is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 52 papers that have together received 758 indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (14 papers) and Advanced Statistical Methods and Models (14 papers). The work is most often cited by research in Statistics and Probability (510 citations), Statistics, Probability and Uncertainty (154 citations) and Management Science and Operations Research (94 citations). K. B. Kulasekera has collaborated with scholars based in United States, Norway and France. Frequent co-authors include Lloyd W. Condra, Colin Gallagher, Wei Lin, Qi Zheng, W. J. Padgett, Chanseok Park, David W. Tonkyn, Somnath Datta, Maiying Kong and Maxwell Boakye. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.