Jeffrey Scott Evans
Ecology · 2006–2016
A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 66 citations into it; #3,756 of 10,717 by trust here, #5,577 by citations
- Nature and Landscape Conservation — 66 citations into it; #1,420 of 6,941 by trust here, #2,595 by citations
- Ecological Modeling — 37 citations into it; #1,660 of 2,530 by trust here, #1,855 by citations
- Genetics — 27 citations into it; #4,285 of 6,854 by trust here, #2,654 by citations
- Environmental Engineering — 25 citations into it; #1,348 of 5,479 by trust here, #1,912 by citations
- Artificial Intelligence — 16 citations into it
- Statistics and Probability — 15 citations into it
- Insect Science — 11 citations into it
Whom Jeffrey Scott Evans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Jerome H. Friedman
- G. De’ath
- N. Crookston
- Michael P. Austin
- Trevor J. Hastie
- Tom Fawcett
- Yoav Freund
- S. Manel
- A. Townsend Peterson
Who trusts Jeffrey Scott Evans overall
- Xiaoye Liu
- Jonathan P. Dandois
- Hooman Latifi
- J. Scoble
- Erle C. Ellis
- Thomas H. Painter
- G. Rehfeldt
- Arne Nothdurft
- Andrew Lowe
- Barbara Koch
Papers from Jeffrey Scott Evans's perspective
Ordered by how strongly the researchers Jeffrey Scott Evans trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Predictive habitat distribution models in ecology
- Greedy function approximation: A gradient boosting machine.
- Comparing five modelling techniques for predicting forest characteristics
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- A globally coherent fingerprint of climate change impacts across natural systems (Nature)
- Experiments with a New Boosting Algorithm
- Landscape genetics: combining landscape ecology and population genetics
- Ecological responses to recent climate change (Nature)
- A Coefficient of Agreement for Nominal Scales
Their papers
- Optimizing land use decision-making to sustain Brazilian agricultural profits, biodiversity and ecosystem services (2016) — 116 citations
- Importance of regional variation in conservation planning: a rangewide example of the Greater Sage‐Grouse (2016) — 88 citations
- Modeling Species Distribution and Change Using Random Forest (2011) — 396 citations
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data (2008) — 466 citations
- Representing genetic variation as continuous surfaces: An approach for identifying spatial dependency in landscape genetic studies (2008) — 112 citations
- A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments (2007) — 363 citations
- Putting the ‘landscape’ in landscape genetics (2007) — 935 citations
- Empirical Analyses of Plant‐Climate Relationships for the Western United States (2006) — 533 citations