Arthur Albert
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Bayesian Methods and Mixture Models 2
- Bayesian Modeling and Causal Inference 1
-
- Matrix Theory and Algorithms 3
- Co-authors
- C. G. Troskie (1 shared paper)Emir H. Shuford (1 shared paper)Thomas A. Louis (3 shared papers)Paul M. Gertman (2 shared papers)Alan S. Perelson (1 shared paper)Marvin I. Freedman (1 shared paper)
- Journals
- Mathematical Biosciences (4 papers)SIAM Journal on Applied Mathematics (2 papers)The Annals of Statistics (1 paper)Psychometrika (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United States
In The Last Decade
Arthur Albert
13 papers receiving 1.0k citations
Arthur Albert's Hit Papers
Peers
Comparison fields: 5 of 132
- Statistics and Probability 166
- Numerical Analysis 95
- Computational Theory and Mathematics 228
- General Decision Sciences 24
- Control and Systems Engineering 257
Countries citing papers authored by Arthur Albert
This map shows the geographic impact of Arthur Albert'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 Arthur Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Albert more than expected).
Fields of papers citing papers by Arthur Albert
This network shows the impact of papers produced by Arthur Albert. 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 Arthur Albert. The network helps show where Arthur Albert may publish in the future.
Co-authors
The 6 scholars most cited alongside Arthur Albert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Regression and the Moore-Penrose Pseudoinverse. Hit paper breakdown → | 1975 | 439 |
| 2 | 1969 | 292 | |
| 3 | 1966 | 178 | |
| 4 | 1978 | 52 | |
| 5 | 1965 | 45 | |
| 6 | 1978 | 44 | |
| 7 | 1978 | 37 | |
| 8 | 1973 | 31 | |
| 9 | 1966 | 25 | |
| 10 | 1980 | 24 | |
| 11 | 1963 | 15 | |
| 12 | 1976 | 10 | |
| 13 | 1970 | 4 |
About Arthur Albert
Arthur Albert is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Applied Mathematics, Statistics and Probability and Numerical Analysis, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Matrix Theory and Algorithms (3 papers), Statistical and numerical algorithms (2 papers), Bayesian Methods and Mixture Models (2 papers), Scientific Research and Discoveries (1 paper), demographic modeling and climate adaptation (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Statistics and Probability (166 citations), Numerical Analysis (95 citations), Computational Theory and Mathematics (228 citations), General Decision Sciences (24 citations) and Control and Systems Engineering (257 citations). Arthur Albert has collaborated with scholars based in United States. Frequent co-authors include C. G. Troskie, Emir H. Shuford, Thomas A. Louis, Paul M. Gertman, Alan S. Perelson and Marvin I. Freedman. Their work appears in journals such as Mathematical Biosciences, SIAM Journal on Applied Mathematics, The Annals of Statistics, Psychometrika and Journal of the American Statistical Association.
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.