L. R. Haff
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference 6
- Random Matrices and Applications 6
- Advanced Statistical Methods and Models 5
- Statistical Distribution Estimation and Applications 4
- Finance top 10%
- Applied Mathematics top 5%
- Mathematical Inequalities and Applications 2
- Signal Processing top 10%
-
- Bayesian Methods and Mixture Models 6
-
- Sparse and Compressive Sensing Techniques 1
-
- Wind and Air Flow Studies 1
- Co-authors
- Michael H. GoldbaumMark NelsonAnirban DasguptaLawrence BrownWilliam E. StrawdermanJames O. Berger
- Journals
- Journal of the American Statistical Association (1 paper)The Annals of Statistics (4 papers)Journal of Multivariate Analysis (3 papers)
- Partner nations
- United States
In The Last Decade
L. R. Haff
15 papers receiving 521 citations
Peers
Comparison fields: 5 of 60
- Statistics and Probability 414
- Computational Mathematics 7
- Finance 73
- Applied Mathematics 73
- Signal Processing 56
Countries citing papers authored by L. R. Haff
This map shows the geographic impact of L. R. Haff'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 L. R. Haff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. R. Haff more than expected).
Fields of papers citing papers by L. R. Haff
This network shows the impact of papers produced by L. R. Haff. 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 L. R. Haff. The network helps show where L. R. Haff may publish in the future.
Co-authorship network
The 6 scholars most cited alongside L. R. Haff, 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 | 2006 | 20 | |
| 2 | 2005 | 3 | |
| 3 | 1991 | 77 | |
| 4 | The discrimination of similarly colored objects in computer images of the ocular fundus. | 1990 | 41 |
| 5 | 1986 | 10 | |
| 6 | 1986 | 5 | |
| 7 | 1983 | 8 | |
| 8 | 1981 | 1 | |
| 9 | 1981 | 14 | |
| 10 | 1980 | 170 | |
| 11 | 1979 | 124 | |
| 12 | 1979 | 65 | |
| 13 | 1978 | 3 | |
| 14 | 1977 | 47 | |
| 15 | 1976 | 2 | |
| 16 | Bayesian regression with autoregressive priors | 1973 | 1 |
About L. R. Haff
L. R. Haff is a scholar working on Statistics and Probability, Applied Mathematics and Artificial Intelligence, having authored 16 papers that have together received 591 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Random Matrices and Applications (6 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (4 papers), Mathematical Inequalities and Applications (2 papers), Sparse and Compressive Sensing Techniques (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Statistics and Probability (414 citations), Computational Mathematics (7 citations) and Finance (73 citations). L. R. Haff has collaborated with scholars based in United States. Frequent co-authors include Michael H. Goldbaum, Mark Nelson, Anirban Dasgupta, Lawrence Brown, William E. Strawderman and James O. Berger. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of Multivariate 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.