Michael F. Hutchinson

Ecological Modeling · 1985–2022

A researcher in the Science corpus: 9 papers; trusts 44 researchers and is trusted by 124 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 47 citations into it; #500 of 2,530 by trust here, #961 by citations
• Nature and Landscape Conservation — 44 citations into it; #1,351 of 6,941 by trust here, #2,469 by citations
• Ecology — 29 citations into it; #1,509 of 10,717 by trust here, #4,441 by citations
• Generative Models — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Global and Planetary Change — 13 citations into it; #6,221 of 10,225 by trust here, #8,219 by citations
• Statistics and Probability — 11 citations into it; #326 of 12,932 by trust here, #2,108 by citations

Whom Michael F. Hutchinson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael P. Austin
2. J. McPherson
3. Eric R. Ziegel
4. Julian Besag
5. Hirotugu Akaike
6. J. Lennon
7. I. Kühn
8. Yang Song
9. Niko Speybroeck
10. Antoine Guisan

Who trusts Michael F. Hutchinson overall

1. Yang Song
2. Will Grathwohl
3. Ricky T. Q. Chen
4. Christopher K. I. Williams
5. Brian Macdonald
6. J. Urgen Schmidhuber
7. Conor Durkan
8. David Kristjanson Duvenaud
9. Per-Gunnar Martinsson
10. Ning Wu

Papers from Michael F. Hutchinson's perspective

Ordered by how strongly the researchers Michael F. Hutchinson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines (1989)
• Riemannian Score-Based Generative Modeling (2022) — 278 citations
• bioclim: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies (2014) — 938 citations
• A differential equation for specific catchment area (2011) — 73 citations
• The effect of species response form on species distribution model prediction and inference (2009) — 59 citations
• Potential Impacts of Climate Change on the Distribution of North American Trees (2007) — 517 citations
• Integrating a global agro‐climatic classification with bioregional boundaries in Australia (2005) — 186 citations
• Canada’s plant hardiness zones revisited using modern climate interpolation techniques (2001) — 139 citations
• Smoothing noisy data with spline functions (1985)