Daniel W. Schafer
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Advanced Statistical Methods and Models 12
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 7
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- Gene expression and cancer classification 4
- Bacterial biofilms and quorum sensing 4
- Biochemical and Structural Characterization 3
- Molecular Biology Techniques and Applications 3
- Co-authors
- Fred L. Ramsey (3 shared papers)Donald A. Pierce (4 shared papers)George W. Cobb (1 shared paper)Yanming Di (4 shared papers)Jeff H. Chang (3 shared papers)Jason S. Cumbie (2 shared papers)Ethel S. Gilbert (1 shared paper)Bhanu Sinha (5 shared papers)
- Journals
- Journal of the American Statistical Association (7 papers)Biometrika (4 papers)PLoS ONE (3 papers)Biometrics (3 papers)Environmental Toxicology and Chemistry (2 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Daniel W. Schafer
42 papers receiving 2.3k citations
Daniel W. Schafer's Hit Papers
Peers
Comparison fields: 5 of 192
- Statistics and Probability 523
- Nature and Landscape Conservation 278
- Ecology 454
- Ecological Modeling 73
- Radiological and Ultrasound Technology 77
Countries citing papers authored by Daniel W. Schafer
This map shows the geographic impact of Daniel W. Schafer'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 Daniel W. Schafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Schafer more than expected).
Fields of papers citing papers by Daniel W. Schafer
This network shows the impact of papers produced by Daniel W. Schafer. 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 Daniel W. Schafer. The network helps show where Daniel W. Schafer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Schafer, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The statistical sleuth : a course in methods of data analysis Hit paper breakdown → | 2002 | 930 |
| 2 | 2000 | 246 | |
| 3 | 1986 | 204 | |
| 4 | 2013 | 138 | |
| 5 | 2011 | 134 | |
| 6 | 1987 | 90 | |
| 7 | 1992 | 63 | |
| 8 | 2006 | 48 | |
| 9 | 2011 | 48 | |
| 10 | 2010 | 46 | |
| 11 | 1989 | 45 | |
| 12 | 1999 | 42 | |
| 13 | 2009 | 41 | |
| 14 | 1996 | 37 | |
| 15 | 2020 | 36 | |
| 16 | 2001 | 35 | |
| 17 | 1986 | 34 | |
| 18 | 1992 | 32 | |
| 19 | 2015 | 30 | |
| 20 | 2001 | 28 |
About Daniel W. Schafer
Daniel W. Schafer is a scholar working on Statistics and Probability, Molecular Biology, Infectious Diseases, Food Science and Artificial Intelligence, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Gene expression and cancer classification (4 papers), Bacterial biofilms and quorum sensing (4 papers), Biochemical and Structural Characterization (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Statistics and Probability (523 citations), Nature and Landscape Conservation (278 citations), Ecology (454 citations), Ecological Modeling (73 citations) and Radiological and Ultrasound Technology (77 citations). Daniel W. Schafer has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Fred L. Ramsey, Donald A. Pierce, George W. Cobb, Yanming Di, Jeff H. Chang, Jason S. Cumbie, Ethel S. Gilbert, Bhanu Sinha, Lisa M. Ganio and Daniel O. Stram. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, PLoS ONE, Biometrics and Environmental Toxicology and Chemistry.
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.