Trevor Hastie
- Statistics and Probability top 0.01%
- Statistical Methods and Inference 55
- Advanced Statistical Methods and Models 34
- Statistical Methods and Bayesian Inference 23
- Ecological Modeling top 0.01%
- Artificial Intelligence top 0.01%
- Neural Networks and Applications 17
- Cancer Research top 0.02%
- Computer Vision and Pattern Recognition top 0.02%
- Face and Expression Recognition 26
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- Gene expression and cancer classification 30
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- Spectroscopy and Chemometric Analyses 17
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- Sparse and Compressive Sensing Techniques 14
- Co-authors
- Robert TibshiraniJerome H. FriedmanHui ZouJ. FriedmanRob TibshiraniDaniela WittenJane ElithGareth James
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Nucleic Acids Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Trevor Hastie
295 papers receiving 172.6k citations
Hit Papers
Peers
Comparison fields: 5 of 246
- Statistics and Probability 21.0k
- Ecological Modeling 9.2k
- Artificial Intelligence 31.5k
- Cancer Research 12.4k
- Computer Vision and Pattern Recognition 15.4k
Countries citing papers authored by Trevor Hastie
This map shows the geographic impact of Trevor Hastie'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 Trevor Hastie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Hastie more than expected).
Fields of papers citing papers by Trevor Hastie
This network shows the impact of papers produced by Trevor Hastie. 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 Trevor Hastie. The network helps show where Trevor Hastie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Trevor Hastie, 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 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 54 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 67 | |
| 10 | 2015 | 112 | |
| 11 | A Proportional Observer Bias Model for Multispecies Distribution Modeling | 2014 | 2 |
| 12 | Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survivalbreakdown → | 2005 | 733 |
| 13 | 2004 | 59 | |
| 14 | 2004 | 63 | |
| 15 | The Entire Regularization Path for the Support Vector Machine | 2004 | 14 |
| 16 | A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning | 2004 | 25 |
| 17 | 1-norm Support Vector Machinesbreakdown → | 2003 | 569 |
| 18 | An exploration of sentiment summarization | 2003 | 34 |
| 19 | 2003 | 35 | |
| 20 | 1987 | 354 |
About Trevor Hastie
Trevor Hastie is a scholar working on Statistics and Probability, Ecological Modeling and Artificial Intelligence, having authored 301 papers that have together received 179.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (55 papers), Advanced Statistical Methods and Models (34 papers), Gene expression and cancer classification (30 papers), Face and Expression Recognition (26 papers), Statistical Methods and Bayesian Inference (23 papers), Spectroscopy and Chemometric Analyses (17 papers), Neural Networks and Applications (17 papers) and Sparse and Compressive Sensing Techniques (14 papers). The work is most often cited by research in Statistics and Probability (21.0k citations), Ecological Modeling (9.2k citations) and Artificial Intelligence (31.5k citations). Trevor Hastie has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robert Tibshirani, Jerome H. Friedman, Hui Zou, J. Friedman, Rob Tibshirani, Daniela Witten, Jane Elith, Gareth James, Richard A. Brown and Bradley Efron. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.
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.