B. R. Schmidt
Ecology · 2000–2018
A researcher in the Science corpus: 12 papers; trusts 32 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 120 citations into it; #375 of 10,717 by trust here, #805 by citations
- Global and Planetary Change — 71 citations into it; #466 of 10,225 by trust here, #662 by citations
- Nature and Landscape Conservation — 59 citations into it; #1,735 of 6,941 by trust here, #2,790 by citations
- Ecological Modeling — 50 citations into it; #173 of 2,530 by trust here, #240 by citations
- Statistics and Probability — 36 citations into it; #6,526 of 12,932 by trust here, #9,714 by citations
- Artificial Intelligence — 8 citations into it
- Economics and Econometrics — 7 citations into it
- Developmental Biology — 5 citations into it
Whom B. R. Schmidt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Andrew Royle
- D. MacKenzie
- James D. Nichols
- K. Burnham
- L. Bailey
- David R. Anderson
- K. Pollock
- Marc Kéry
- J. Pellet
- Theodore Simons
Who trusts B. R. Schmidt overall
- Marc Kéry
- M. Mazerolle
- T. Beebee
- L. Bailey
- R. Griffiths
- Michael Schaub
- J. Andrew Royle
- G. Guillera‐Arroita
- P. F. Thomsen
- W. Kendall
Papers from B. R. Schmidt's perspective
Ordered by how strongly the researchers B. R. Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.
- Model selection and inference : a practical information-theoretic approach
- Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
- Large scale wildlife monitoring studies: statistical methods for design and analysis
- N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts (Biometrics)
- ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
- ESTIMATING SITE OCCUPANCY AND SPECIES DETECTION PROBABILITY PARAMETERS FOR TERRESTRIAL SALAMANDERS
- Modeling Abundance Index Data from Anuran Calling Surveys
- Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Kullback-Leibler information as a basis for strong inference in ecological studies
Their papers
- Declining amphibian populations: The pitfalls of count data in the study of diversity, distributions, dynamics, and demography (2004) — 91 citations
- The conservation status of the world's reptiles (2013) — 935 citations
- Determinants and Consequences of Dispersal in Vertebrates with Complex Life Cycles: A Review of Pond-Breeding Amphibians (2018) — 135 citations
- Alien Pathogens on the Horizon: Opportunities for Predicting their Threat to Wildlife (2017) — 114 citations
- Site occupancy models in the analysis of environmental DNA presence/absence surveys: a case study of an emerging amphibian pathogen (2013) — 262 citations
- Imperfect detection and its consequences for monitoring for conservation (2008) — 346 citations
- Demographic Processes Underlying Population Growth and Decline in Salamandra salamandra (2005) — 112 citations
- Monitoring distributions using call surveys: estimating site occupancy, detection probabilities and inferring absence. (2005) — 235 citations
- Monitoring the distribution of pond‐breeding amphibians when species are detected imperfectly (2005) — 94 citations
- Why you should use capture-recapture methods when estimating survival and breeding probabilities: on bias, temporary emigration, overdispersion, and common toads (2002) — 105 citations
- Quantitative evidence for global amphibian population declines (2000) — 1,396 citations
- PREDATOR-INDUCED PHENOTYPIC PLASTICITY IN LARVAL NEWTS: TRADE-OFFS, SELECTION, AND VARIATION IN NATURE (2000) — 233 citations