Nick J B Isaac
Nature and Landscape Conservation · 2004–2020
A researcher in the Science corpus: 22 papers; trusts 27 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 255 citations into it; #3,834 of 6,941 by trust here, #917 by citations
- Ecological Modeling — 233 citations into it; #823 of 2,530 by trust here, #172 by citations
- Ecology, Evolution, Behavior and Systematics — 187 citations into it
- Ecology — 179 citations into it; #3,486 of 10,717 by trust here, #585 by citations
- Plant Science — 57 citations into it
- Genetics — 52 citations into it
- Social Psychology — 33 citations into it
- Statistics and Probability — 21 citations into it
Whom Nick J B Isaac trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Roy
- D. MacKenzie
- M. Hill
- G. Barker
- J. A. Thomas
- Jeremy A. Thomas
- Marc Kéry
- M. Telfer
- Sara Martino
- J. Andrew Royle
Who trusts Nick J B Isaac overall
- Johannes Kamp
- Michael J. O. Pocock
- Marc W. Cadotte
- Jose Padial
- S. Oppel
- Helen E. Roy
- Tyler S. Kuhn
- Raphael K. Didham
- K. Tolley
- Oliver L. Pescott
Papers from Nick J B Isaac's perspective
Ordered by how strongly the researchers Nick J B Isaac trusts endorse each paper. Same corpus, a different order for every researcher.
- Rapid responses of British butterflies to opposing forces of climate and habitat change (Nature)
- Developing indicators for European birds (Philosophical Transactions of the Royal Society B: Biological Sciences)
- Model selection and multimodel inference : a practical information-theoretic approach
- Biodiversity hotspots for conservation priorities (Nature)
- Extinction risk from climate change (Nature)
- A globally coherent fingerprint of climate change impacts across natural systems (Nature)
- Abundance–occupancy relationships
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Tradeoffs of different types of species occurrence data for use in systematic conservation planning. (Ecology Letters)
- Gentleman R: R: A language for data analysis and graphics
Their papers
- Bias and information in biological records (2015) — 345 citations
- Data Integration for Large-Scale Models of Species Distributions. (2020) — 354 citations
- Handling missing values in trait data (2020) — 147 citations
- Pollinator monitoring more than pays for itself (2020) — 92 citations
- Widespread losses of pollinating insects in Britain (2019) — 610 citations
- Extinction risk from climate change is reduced by microclimatic buffering (2018) — 362 citations
- TetraDENSITY: A database of population density estimates in terrestrial vertebrates (2018) — 88 citations
- Global drivers of population density in terrestrial vertebrates (2018) — 95 citations
- The use of opportunistic data for IUCN Red List assessments (2015) — 151 citations
- Beyond maps: a review of the applications of biological records (2015) — 98 citations
- Biodiversity and Resilience of Ecosystem Functions. (2015) — 1,383 citations
- Butterfly abundance is determined by food availability and is mediated by species traits (2015) — 145 citations
- Defaunation in the Anthropocene (2014) — 3,640 citations
- Statistics for citizen science: extracting signals of change from noisy ecological data (2014) — 516 citations
- Identifying Cinderella species: uncovering mammals with conservation flagship appeal (2012) — 181 citations
- Invasive alien predator causes rapid declines of native European ladybirds (2012) — 289 citations
- Distance sampling and the challenge of monitoring butterfly populations (2011) — 102 citations
- What are we saving? Developing a standardized approach for conservation action (2009) — 125 citations
- Ecological, social, and reproductive factors shape producer–scrounger dynamics in baboons (2009) — 87 citations
- Mammals on the EDGE: Conservation Priorities Based on Threat and Phylogeny (2007) — 1,018 citations