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
-
- Advanced Statistical Methods and Models 12
- Statistical Methods and Bayesian Inference 10
- Statistical Methods and Inference 7
- Co-authors
- Fred L. RamseyDonald A. PierceGeorge W. CobbYanming DiJeff H. ChangJason S. CumbieEthel S. GilbertBhanu Sinha
- Journals
- Journal of the American Statistical Association (7 papers)Biometrika (4 papers)Biometrics (3 papers)PLoS ONE (3 papers)Radiation Research (2 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Daniel W. Schafer
42 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Statistics and Probability 529
- Nature and Landscape Conservation 280
- Ecology 458
- Ecological Modeling 73
- Radiological and Ultrasound Technology 84
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 27 | |
| 2 | 2015 | 30 | |
| 3 | 2015 | 2 | |
| 4 | 2015 | 15 | |
| 5 | 2013 | 9 | |
| 6 | 2013 | 10 | |
| 7 | 2011 | 132 | |
| 8 | 2010 | 45 | |
| 9 | 2009 | 17 | |
| 10 | 2004 | 27 | |
| 11 | The statistical sleuth : a course in methods of data analysis Hit paper breakdown → | 2002 | 929 |
| 12 | 2002 | 11 | |
| 13 | 2001 | 28 | |
| 14 | 1999 | 42 | |
| 15 | 1992 | 63 | |
| 16 | 1992 | 31 | |
| 17 | 1992 | 11 | |
| 18 | 1989 | 45 | |
| 19 | 1986 | 204 | |
| 20 | 1986 | 34 |
About Daniel W. Schafer
Daniel W. Schafer is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Infectious Diseases, Food Science and Radiological and Ultrasound Technology, having authored 42 papers that have together received 2.5k 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), Bacterial biofilms and quorum sensing (5 papers), Biochemical and Structural Characterization (4 papers), Gene expression and cancer classification (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (529 citations), Nature and Landscape Conservation (280 citations), Ecology (458 citations), Ecological Modeling (73 citations) and Radiological and Ultrasound Technology (84 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 Michael Væth. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Biometrics, PLoS ONE and Radiation Research.
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.