F. Jay Breidt
Impact in
- Soil Science top 0.5%
- Soil Carbon and Nitrogen Dynamics
- Environmental Chemistry top 1%
- Soil and Water Nutrient Dynamics
Papers in
-
- Statistical Methods and Bayesian Inference 27
- Statistical Methods and Inference 20
- Survey Sampling and Estimation Techniques 10
-
- Soil and Water Nutrient Dynamics 16
- Co-authors
- Stephen M. OgleKeith PaustianJean D. OpsomerNuno CratoJohan SixRichard T. ConantA. R. MosierRichard A. Davis
- Journals
- Journal of Computational and Graphical Statistics (4 papers)Journal of the American Statistical Association (4 papers)Journal of Time Series Analysis (4 papers)Global Change Biology (4 papers)The Annals of Statistics (3 papers)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
F. Jay Breidt
85 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Soil Science 1.6k
- Environmental Chemistry 660
- Statistics and Probability 532
- Finance 537
- Environmental Engineering 638
Countries citing papers authored by F. Jay Breidt
This map shows the geographic impact of F. Jay Breidt'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 F. Jay Breidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Jay Breidt more than expected).
Fields of papers citing papers by F. Jay Breidt
This network shows the impact of papers produced by F. Jay Breidt. 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 F. Jay Breidt. The network helps show where F. Jay Breidt may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Jay Breidt, 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 | 2023 | 1 | |
| 2 | 2023 | 19 | |
| 3 | 2021 | 16 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 49 | |
| 6 | Climate and Soil Characteristics Determine Where No-Till Management Can Store Carbon in Soils and Mitigate Greenhouse Gas Emissions Hit paper breakdown → | 2019 | 211 |
| 7 | 2018 | 2 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 28 | |
| 12 | 2015 | 1 | |
| 13 | 2012 | 4 | |
| 14 | Improved estimation for complex surveys using modern regression techniques | 2011 | 3 |
| 15 | Estimating distribution functions from survey data using nonparametric regression | 2010 | 0 |
| 16 | 2006 | 50 | |
| 17 | 2006 | 27 | |
| 18 | 2003 | 3 | |
| 19 | 2002 | 4 | |
| 20 | On backcasting in linear time series models | 1992 | 7 |
About F. Jay Breidt
F. Jay Breidt is a scholar working on Statistics and Probability, Environmental Chemistry, Soil Science, Environmental Engineering and Management Science and Operations Research, having authored 92 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Statistical Methods and Inference (20 papers), Soil Geostatistics and Mapping (17 papers), Soil and Water Nutrient Dynamics (16 papers), Bayesian Methods and Mixture Models (15 papers), Soil Carbon and Nitrogen Dynamics (14 papers), Survey Sampling and Estimation Techniques (10 papers) and demographic modeling and climate adaptation (6 papers). The work is most often cited by research in Soil Science (1.6k citations), Environmental Chemistry (660 citations), Statistics and Probability (532 citations), Finance (537 citations) and Environmental Engineering (638 citations). F. Jay Breidt has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Stephen M. Ogle, Keith Paustian, Jean D. Opsomer, Nuno Crato, Johan Six, Richard T. Conant, A. R. Mosier, Richard A. Davis, Gerda Claeskens and Steve Williams. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of the American Statistical Association, Journal of Time Series Analysis, Global Change Biology and The Annals of 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.