A. W. Davis
Impact in
- Fuel Technology top 1%
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Methods and Models 14
- Statistical Distribution Estimation and Applications 9
- Statistical Methods and Bayesian Inference 8
-
- Bayesian Methods and Mixture Models 7
- Co-authors
- Chung‐I Wu (4 shared papers)W. B. Hall (1 shared paper)Paul C. Painter (5 shared papers)J.T. Senftle (4 shared papers)Kyoichi Sawamura (2 shared papers)Eric L. Cabot (1 shared paper)Norman Johnson (1 shared paper)Carol A. Rhoads (2 shared papers)
- Journals
- Biometrika (7 papers)Genetics (5 papers)Annals of the Institute of Statistical Mathematics (5 papers)Fuel (5 papers)Journal of the American Statistical Association (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
A. W. Davis
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 139
- Fuel Technology 49
- Statistics and Probability 267
- Genetics 685
- Geochemistry and Petrology 110
- Aging 32
Countries citing papers authored by A. W. Davis
This map shows the geographic impact of A. W. Davis'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 A. W. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. W. Davis more than expected).
Fields of papers citing papers by A. W. Davis
This network shows the impact of papers produced by A. W. Davis. 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 A. W. Davis. The network helps show where A. W. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside A. W. Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 322 | |
| 2 | 1983 | 137 | |
| 3 | 1994 | 135 | |
| 4 | 1969 | 99 | |
| 5 | 1998 | 99 | |
| 6 | 1996 | 84 | |
| 7 | 1999 | 81 | |
| 8 | 1996 | 74 | |
| 9 | 2000 | 64 | |
| 10 | 1994 | 63 | |
| 11 | 1977 | 45 | |
| 12 | 1992 | 40 | |
| 13 | 1976 | 36 | |
| 14 | 2019 | 28 | |
| 15 | 1996 | 28 | |
| 16 | 1972 | 28 | |
| 17 | 1983 | 27 | |
| 18 | 1986 | 26 | |
| 19 | 1977 | 26 | |
| 20 | 2018 | 26 |
About A. W. Davis
A. W. Davis is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Applied Mathematics and Molecular Biology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (14 papers), Statistical Distribution Estimation and Applications (9 papers), Genetic diversity and population structure (8 papers), Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (7 papers), Coal Properties and Utilization (7 papers), Hydrocarbon exploration and reservoir analysis (5 papers) and Coal and Coke Industries Research (5 papers). The work is most often cited by research in Fuel Technology (49 citations), Statistics and Probability (267 citations), Genetics (685 citations), Geochemistry and Petrology (110 citations) and Aging (32 citations). A. W. Davis has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Chung‐I Wu, W. B. Hall, Paul C. Painter, J.T. Senftle, Kyoichi Sawamura, Eric L. Cabot, Norman Johnson, Carol A. Rhoads, Michael J. Coleman and John Roote. Their work appears in journals such as Biometrika, Genetics, Annals of the Institute of Statistical Mathematics, Fuel 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.