Catherine Loader
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 4
- Advanced Statistical Methods and Models 3
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- Statistical and numerical algorithms 3
- Co-authors
- William S. Cleveland (1 shared paper)Ramani S. Pilla (4 shared papers)Jiayang Sun (1 shared paper)William P. McCormick (1 shared paper)Annie Qu (1 shared paper)Peter Andrews (2 shared papers)Partha P. Mitra (2 shared papers)Bijan Pesaran (1 shared paper)
- Journals
- BMC Neuroscience (1 paper)Physical Review Letters (1 paper)The Annals of Statistics (1 paper)Journal of Computational and Graphical Statistics (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
Catherine Loader
10 papers receiving 435 citations
Peers
Comparison fields: 5 of 124
- Statistics and Probability 81
- Computational Mathematics 2
- Statistics, Probability and Uncertainty 22
- Computer Vision and Pattern Recognition 56
- Environmental Engineering 36
Countries citing papers authored by Catherine Loader
This map shows the geographic impact of Catherine Loader'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 Catherine Loader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Loader more than expected).
Fields of papers citing papers by Catherine Loader
This network shows the impact of papers produced by Catherine Loader. 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 Catherine Loader. The network helps show where Catherine Loader may publish in the future.
Co-authors
The 24 scholars most cited alongside Catherine Loader, 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 | 1996 | 347 | |
| 2 | 2011 | 37 | |
| 3 | 2000 | 29 | |
| 4 | 2009 | 18 | |
| 5 | 2006 | 11 | |
| 6 | 2007 | 10 | |
| 7 | 2005 | 9 | |
| 8 | 2005 | 7 | |
| 9 | Local Regression, Likelihood and Density Estimation [R package locfit version 1.5-9.4] | 2020 | 2 |
| 10 | 2008 | 2 |
About Catherine Loader
Catherine Loader is a scholar working on Statistics and Probability, Applied Mathematics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Artificial Intelligence, having authored 10 papers that have together received 472 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical and numerical algorithms (3 papers), Neural dynamics and brain function (2 papers), EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neural Engineering (1 paper), Scientific Research and Discoveries (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Statistics and Probability (81 citations), Computational Mathematics (2 citations), Statistics, Probability and Uncertainty (22 citations), Computer Vision and Pattern Recognition (56 citations) and Environmental Engineering (36 citations). Catherine Loader has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include William S. Cleveland, Ramani S. Pilla, Jiayang Sun, William P. McCormick, Annie Qu, Peter Andrews, Partha P. Mitra, Bijan Pesaran, Jayant Kulkarni and Hemant Bokil. Their work appears in journals such as BMC Neuroscience, Physical Review Letters, The Annals of Statistics, Journal of Computational and Graphical Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.