Chad Schafer
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 10
- Gamma-ray bursts and supernovae 3
-
- Meteorological Phenomena and Simulations 4
- Co-authors
- W. M. Wood‐Vasey (1 shared paper)Ann B. Lee (4 shared papers)Philip B. Stark (3 shared papers)Peter E. Freeman (3 shared papers)Joseph W. Richards (3 shared papers)John R. Anderson (2 shared papers)Ian Foster (2 shared papers)Robert Jacob (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (4 papers)The Astrophysical Journal (2 papers)Electronic Journal of Statistics (1 paper)Genomics (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United States
In The Last Decade
Chad Schafer
23 papers receiving 230 citations
Peers
Comparison fields: 5 of 79
- Instrumentation 26
- Statistics and Probability 53
- Astronomy and Astrophysics 93
- Computer Graphics and Computer-Aided Design 13
- Computational Mathematics 2
Countries citing papers authored by Chad Schafer
This map shows the geographic impact of Chad 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 Chad Schafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Schafer more than expected).
Fields of papers citing papers by Chad Schafer
This network shows the impact of papers produced by Chad 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 Chad Schafer. The network helps show where Chad Schafer may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 62 | |
| 2 | 1996 | 29 | |
| 3 | 2019 | 24 | |
| 4 | Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society | 2014 | 20 |
| 5 | 2009 | 19 | |
| 6 | 2009 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2007 | 9 | |
| 9 | 1997 | 9 | |
| 10 | Using what we know: Inference with Physical Constraints | 2003 | 8 |
| 11 | 2013 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2007 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 1 |
About Chad Schafer
Chad Schafer is a scholar working on Astronomy and Astrophysics, Atmospheric Science, Global and Planetary Change, Statistics and Probability and Artificial Intelligence, having authored 25 papers that have together received 246 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (10 papers), Climate variability and models (5 papers), Advanced Statistical Methods and Models (4 papers), Meteorological Phenomena and Simulations (4 papers), Statistical Methods and Inference (3 papers), Gamma-ray bursts and supernovae (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Instrumentation (26 citations), Statistics and Probability (53 citations), Astronomy and Astrophysics (93 citations), Computer Graphics and Computer-Aided Design (13 citations) and Computational Mathematics (2 citations). Chad Schafer has collaborated with scholars based in United States. Frequent co-authors include W. M. Wood‐Vasey, Ann B. Lee, Philip B. Stark, Peter E. Freeman, Joseph W. Richards, John R. Anderson, Ian Foster, Robert Jacob, William L. Hibbard and Andrew P. Hearin. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal, Electronic Journal of Statistics, Genomics and The Annals of Applied Statistics.
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.