Albert W. Marshall
- Statistics and Probability top 0.02%
- Management Science and Operations Research top 0.1%
- Statistics, Probability and Uncertainty top 0.05%
- Applied Mathematics top 0.2%
- Artificial Intelligence top 1%
- Co-authors
- Ingram OlkinBarry C. ArnoldJ. D. EsaryCheryl M. BartlettFrank ProschanRichard E. BarlowMoshe ShakedZ. W. Birnbaum
- Topics
- Statistical Distribution Estimation and Applications (45 papers)Reliability and Maintenance Optimization (14 papers)Probabilistic and Robust Engineering Design (11 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Albert W. Marshall
81 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Statistics and Probability 4.1k
- Management Science and Operations Research 2.1k
- Statistics, Probability and Uncertainty 1.5k
- Applied Mathematics 1.5k
- Artificial Intelligence 1.3k
Countries citing papers authored by Albert W. Marshall
This map shows the geographic impact of Albert W. Marshall'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 W. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert W. Marshall more than expected).
Fields of papers citing papers by Albert W. Marshall
This network shows the impact of papers produced by Albert W. Marshall. 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 W. Marshall. The network helps show where Albert W. Marshall may publish in the future.
Co-authorship network of co-authors of Albert W. Marshall
This figure shows the co-authorship network connecting the top 25 collaborators of Albert W. Marshall. A scholar is included among the top collaborators of Albert W. Marshall 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 W. Marshall. Albert W. Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Inequalities: Theory of Majorization and Its Applicationsbreakdown → | 1427 |
| 3 | 3 | |
| 4 | 35 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 369 | |
| 8 | 250 | |
| 9 | 77 | |
| 10 | Multivariate new better than used distributions: a survey | 6 |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 61 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 45 | |
| 17 | A Multivariate Exponential Distributionbreakdown → | 1055 |
| 18 | 116 | |
| 19 | 76 | |
| 20 | 22 |
About Albert W. Marshall
Albert W. Marshall is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Software, having authored 82 papers that have together received 11.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (45 papers), Reliability and Maintenance Optimization (14 papers) and Probabilistic and Robust Engineering Design (11 papers). The work is most often cited by research in Statistics and Probability (4.1k citations), Statistics, Probability and Uncertainty (1.5k citations) and Management Science and Operations Research (2.1k citations). Albert W. Marshall has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ingram Olkin, Barry C. Arnold, J. D. Esary, Cheryl M. Bartlett, Frank Proschan, Richard E. Barlow, Moshe Shaked, Z. W. Birnbaum, Steven J. Cooke and Chris T. Darimont. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
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.