Fred Huffer
Impact in
- Pollution top 10%
- Oil Spill Detection and Mitigation
- Statistics and Probability top 5%
Papers in ⓘ
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- Bayesian Methods and Mixture Models 5
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- Statistical Methods and Inference 3
- Statistical Distribution Estimation and Applications 3
- Co-authors
- Hulin Wu (1 shared paper)Ira Leifer (1 shared paper)George Graettinger (1 shared paper)Samira Daneshgar Asl (1 shared paper)Frank Müller‐Karger (1 shared paper)Andrew Beet (1 shared paper)Ian R. MacDonald (1 shared paper)Gregg A. Swayze (1 shared paper)
- Journals
- Journal of Applied Probability (4 papers)Journal of Geophysical Research Oceans (1 paper)PLoS Computational Biology (1 paper)Computational Statistics & Data Analysis (1 paper)Proceedings of the American Mathematical Society (1 paper)
- Partner nations
- United States
In The Last Decade
Fred Huffer
16 papers receiving 376 citations
Peers
Comparison fields: 5 of 89
- Pollution 142
- Statistics and Probability 62
- Oceanography 80
- Ecological Modeling 28
- Global and Planetary Change 108
Countries citing papers authored by Fred Huffer
This map shows the geographic impact of Fred Huffer'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 Fred Huffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Huffer more than expected).
Fields of papers citing papers by Fred Huffer
This network shows the impact of papers produced by Fred Huffer. 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 Fred Huffer. The network helps show where Fred Huffer may publish in the future.
Co-authors
The 23 scholars most cited alongside Fred Huffer, 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 | 2015 | 182 | |
| 2 | 1997 | 101 | |
| 3 | 2019 | 32 | |
| 4 | 1988 | 21 | |
| 5 | 1988 | 14 | |
| 6 | 2008 | 11 | |
| 7 | 2016 | 11 | |
| 8 | 2019 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 1986 | 3 | |
| 12 | 1986 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2010 | 1 |
About Fred Huffer
Fred Huffer is a scholar working on Artificial Intelligence, Statistics and Probability, Economics and Econometrics, Molecular Biology and Numerical Analysis, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (3 papers), Statistical Distribution Estimation and Applications (3 papers), Spatial and Panel Data Analysis (3 papers), Image Processing and 3D Reconstruction (2 papers), Genomics and Chromatin Dynamics (2 papers), Mathematical Approximation and Integration (2 papers) and Probability and Risk Models (2 papers). The work is most often cited by research in Pollution (142 citations), Statistics and Probability (62 citations), Oceanography (80 citations), Ecological Modeling (28 citations) and Global and Planetary Change (108 citations). Fred Huffer has collaborated with scholars based in United States. Frequent co-authors include Hulin Wu, Ira Leifer, George Graettinger, Samira Daneshgar Asl, Frank Müller‐Karger, Andrew Beet, Ian R. MacDonald, Gregg A. Swayze, Oscar Garcia‐Pineda and Lian Feng. Their work appears in journals such as Journal of Applied Probability, Journal of Geophysical Research Oceans, PLoS Computational Biology, Computational Statistics & Data Analysis and Proceedings of the American Mathematical Society.
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.