Albert Vexler
- Statistics and Probability top 0.5%
- Health, Toxicology and Mutagenesis top 5%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Molecular Biology
- Co-authors
- Enrique F. SchistermanAiyi LiuBrian W. WhitcombGregory GurevichAlan D. HutsonJihnhee YuNeil J. PerkinsLili Tian
- Topics
- Statistical Methods and Inference (53 papers)Statistical Methods and Bayesian Inference (46 papers)Statistical Methods in Clinical Trials (29 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyHealth, Toxicology and Mutagenesis
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of EpidemiologyBiometrics
- Partner nations
- United StatesIsraelCameroon
In The Last Decade
Albert Vexler
94 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 147
- Statistics and Probability 749
- Health, Toxicology and Mutagenesis 213
- Statistics, Probability and Uncertainty 137
- Artificial Intelligence 118
- Molecular Biology 89
Countries citing papers authored by Albert Vexler
This map shows the geographic impact of Albert Vexler'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 Albert Vexler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Vexler more than expected).
Fields of papers citing papers by Albert Vexler
This network shows the impact of papers produced by Albert Vexler. 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 Albert Vexler. The network helps show where Albert Vexler may publish in the future.
Co-authorship network of co-authors of Albert Vexler
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Vexler. A scholar is included among the top collaborators of Albert Vexler 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 Albert Vexler. Albert Vexler 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 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | A note on optimality of hypothesis testing | 7 |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 74 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 30 | |
| 19 | 11 | |
| 20 | 9 |
About Albert Vexler
Albert Vexler is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (53 papers), Statistical Methods and Bayesian Inference (46 papers) and Statistical Methods in Clinical Trials (29 papers). The work is most often cited by research in Statistics and Probability (749 citations), Statistics, Probability and Uncertainty (137 citations) and Health, Toxicology and Mutagenesis (213 citations). Albert Vexler has collaborated with scholars based in United States, Israel and Cameroon. Frequent co-authors include Enrique F. Schisterman, Aiyi Liu, Brian W. Whitcomb, Gregory Gurevich, Alan D. Hutson, Jihnhee Yu, Neil J. Perkins, Lili Tian, Xiwei Chen and Chengqing Wu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Epidemiology and Biometrics.
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.