Giles Hooker
- Ecological Modeling top 1%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 21
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 7
- Health Informatics top 5%
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- Ecology and Vegetation Dynamics Studies 10
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- Explainable Artificial Intelligence (XAI) 10
- Machine Learning and Data Classification 10
- Neural Networks and Applications 7
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- Control Systems and Identification 9
- Co-authors
- J. O. RamsaySpencer GravesStephen P. EllnerPeter B. AdlerRich CaruanaLucas MentchVijay S. PandeEric Bair
- Journals
- Journal of Computational and Graphical Statistics (5 papers)Statistics and Computing (5 papers)Ecology Letters (5 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Giles Hooker
88 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Ecological Modeling 391
- Statistics and Probability 533
- Health Informatics 49
- Nature and Landscape Conservation 418
- Statistics, Probability and Uncertainty 205
Countries citing papers authored by Giles Hooker
This map shows the geographic impact of Giles Hooker'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 Giles Hooker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giles Hooker more than expected).
Fields of papers citing papers by Giles Hooker
This network shows the impact of papers produced by Giles Hooker. 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 Giles Hooker. The network helps show where Giles Hooker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giles Hooker, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 17 | |
| 9 | V-statistics and Variance Estimation | 2021 | 3 |
| 10 | Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models | 2020 | 3 |
| 11 | Asymptotic Normality and Variance Estimation For Supervised Ensembles. | 2019 | 1 |
| 12 | 2018 | 20 | |
| 13 | 2018 | 131 | |
| 14 | Transparent Model Distillation. | 2018 | 6 |
| 15 | Auditing Black-Box Models Using Transparent Model Distillation With Side Information | 2017 | 7 |
| 16 | 2014 | 74 | |
| 17 | Ensemble Trees and CLTs: Statistical Inference for Supervised Learning | 2014 | 9 |
| 18 | 2013 | 4 | |
| 19 | 2009 | 15 | |
| 20 | 2008 | 40 |
About Giles Hooker
Giles Hooker is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Nature and Landscape Conservation and Management Science and Operations Research, having authored 93 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Explainable Artificial Intelligence (XAI) (10 papers), Machine Learning and Data Classification (10 papers), Ecology and Vegetation Dynamics Studies (10 papers), Control Systems and Identification (9 papers), Statistical Methods and Bayesian Inference (8 papers), Neural Networks and Applications (7 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Ecological Modeling (391 citations), Statistics and Probability (533 citations), Health Informatics (49 citations), Nature and Landscape Conservation (418 citations) and Statistics, Probability and Uncertainty (205 citations). Giles Hooker has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include J. O. Ramsay, Spencer Graves, Stephen P. Ellner, Peter B. Adler, Rich Caruana, Lucas Mentch, Vijay S. Pande, Eric Bair, Michael R. Shirts and David A. Campbell. Their work appears in journals such as Journal of Computational and Graphical Statistics, Statistics and Computing, Ecology Letters, Ecology and Test.
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.