B. Leung
Ecology · 2002–2019
A researcher in the Science corpus: 12 papers; trusts 47 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 138 citations into it; #1,930 of 10,717 by trust here, #814 by citations
- Nature and Landscape Conservation — 127 citations into it; #5,061 of 6,941 by trust here, #1,710 by citations
- Ecological Modeling — 91 citations into it; #1,037 of 2,530 by trust here, #2,047 by citations
- Ecology, Evolution, Behavior and Systematics — 61 citations into it
- Global and Planetary Change — 47 citations into it
- Insect Science — 30 citations into it
- Genetics — 25 citations into it; #2,567 of 6,854 by trust here, #5,224 by citations
- Economics and Econometrics — 16 citations into it
Whom B. Leung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Bossenbroek
- Brian Dennis
- A. Townsend Peterson
- Jane Elith
- Clifford E. Kraft
- David M. Lodge
- Antoine Guisan
- Steven J. Phillips
- Miguel B. Araújo
- J. Nekola
Who trusts B. Leung overall
- R. Epanchin‐Niell
- Andrew M. Liebhold
- David M. Lodge
- Reuben P. Keller
- David L. Strayer
- M. Jake Vander Zanden
- P. Hulme
- D. Finnoff
- César Capinha
- L. Johnson
Papers from B. Leung's perspective
Ordered by how strongly the researchers B. Leung trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Predictive habitat distribution models in ecology
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
- Maximum entropy modeling of species geographic distributions
- BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL
- Global biodiversity scenarios for the year 2100. (Science)
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data
- Extinction risk from climate change (Nature)
- Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (Ecology Letters)
Their papers
- Global forecasts of shipping traffic and biological invasions to 2050 (2019) — 372 citations
- A quantitative synthesis of the importance of variables used in MaxEnt species distribution models (2017) — 371 citations
- Predicting worldwide invasiveness for four major problematic decapods: an evaluation of using different calibration sets (2011) — 90 citations
- Economic Impacts of Non-Native Forest Insects in the Continental United States (2011) — 597 citations
- Hull fouling as an invasion vector: can simple models explain a complex problem? (2011) — 142 citations
- Marine invasive species: validation of citizen science and implications for national monitoring networks (2007) — 548 citations
- Take a risk: Preferring prevention over control of biological invaders (2007) — 269 citations
- Biological invasions: recommendations for U.S. policy and management. (2006) — 975 citations
- Boats, Pathways, and Aquatic Biological Invasions: Estimating Dispersal Potential with Gravity Models (2006) — 148 citations
- Modelling local and long‐distance dispersal of invasive emerald ash borer Agrilus planipennis (Coleoptera) in North America (2006) — 231 citations
- PREDICTING INVASIONS: PROPAGULE PRESSURE AND THE GRAVITY OF ALLEE EFFECTS (2004) — 279 citations
- An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species (2002) — 992 citations