Maia Berkane
- Statistics and Probability top 2%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Finance
- Co-authors
- Peter M. BentlerYutaka KanoP. M. BentlerCatrien BijleveldH.P.A. van de WaterCheryl K. OlsonWillie J. McKinneyNeil Sherwood
- Topics
- Advanced Statistical Methods and Models (11 papers)Statistical Methods and Bayesian Inference (5 papers)Bayesian Methods and Mixture Models (5 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical AssociationBiometrikaComputational Statistics & Data Analysis
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Maia Berkane
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 216
- Artificial Intelligence 62
- Management Science and Operations Research 40
- Economics and Econometrics 39
- Finance 24
Countries citing papers authored by Maia Berkane
This map shows the geographic impact of Maia Berkane'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 Maia Berkane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maia Berkane more than expected).
Fields of papers citing papers by Maia Berkane
This network shows the impact of papers produced by Maia Berkane. 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 Maia Berkane. The network helps show where Maia Berkane may publish in the future.
Co-authorship network of co-authors of Maia Berkane
This figure shows the co-authorship network connecting the top 25 collaborators of Maia Berkane. A scholar is included among the top collaborators of Maia Berkane 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 Maia Berkane. Maia Berkane 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 | Pseudo Maximum Likelihood Estimation and Elliptical Distribution Theory in a Misspecified Model | 1 |
| 3 | 18 | |
| 4 | 87 | |
| 5 | 26 | |
| 6 | 12 | |
| 7 | 42 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | [Estimate of the number of HIV-seropositive persons in The Netherlands; implications for the evolution of the AIDS epidemic]. | 2 |
| 11 | 4 | |
| 12 | 32 | |
| 13 | 23 | |
| 14 | 9 | |
| 15 | 26 | |
| 16 | 25 | |
| 17 | 3 |
About Maia Berkane
Maia Berkane is a scholar working on Statistics and Probability, General Social Sciences and Environmental Engineering, having authored 17 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (216 citations), Management Science and Operations Research (40 citations) and Statistics, Probability and Uncertainty (22 citations). Maia Berkane has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Peter M. Bentler, Yutaka Kano, P. M. Bentler, Yutaka Kano, Catrien Bijleveld, H.P.A. van de Water, Cheryl K. Olson, Willie J. McKinney and Neil Sherwood. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Computational Statistics & Data Analysis.
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.