Richard Barker

Cited by

	All	Since 2016
Citations	4889	1810
h-index	38	21
i10-index	75	45

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Co-authors

William A. LinkUSGS Patuxent Wildlife Research CenterVerified email at usgs.gov
Matthew SchofieldUniversity of OtagoVerified email at maths.otago.ac.nz
John SauerUnited States Geological SurveyVerified email at usgs.gov
Gary C WhiteColorado State UniversityVerified email at ColoState.Edu
Simon NicolSecretariat of the Pacific CommunityVerified email at canberra.edu.au
David M. ForsythVertebrate Pest Research Unit, NSW Department of Primary IndustriesVerified email at dpi.nsw.gov.au
James NicholsSenior Scientist Emeritus, Patuxent Wildlife Research Center, USGSVerified email at usgs.gov
Charles ToddArthur Rylah InstituteVerified email at delwp.vic.gov.au
Will AllenLearning for Sustainability - https://learningforsustainability.netVerified email at learningforsustainability.net
RB Allenroballen1706@gmail.comVerified email at landcareresearch.co.nz
Chris JacobsonUniversity of the Sunshine CoastVerified email at usc.edu.au
Ailsa HallDirector Sea Mammal Research UnitVerified email at st-andrews.ac.uk
David S.L. RamseyArthur Rylah Institute for Environmental ResearchVerified email at delwp.vic.gov.au
Corey J. A. BradshawProfessor, Matthew Flinders Fellow in Global Ecology, Flinders UniversityVerified email at flinders.edu.au
William KendallU. S. Geological Survey, Colorado Cooperative Fish and Wildlife Research UnitVerified email at colostate.edu
Andrew M. GormleyQuantitative Ecologist, Manaaki Whenua - Landcare Research, New ZealandVerified email at landcareresearch.co.nz
Steve DawsonProfessor of Marine Science, University of OtagoVerified email at otago.ac.nz
Elisabeth SlootenAssociate Professor in ZoologyVerified email at otago.ac.nz
Kenneth P Burnhamprofessor of statistics, Colorado State UniversityVerified email at colostate.edu
Peter BellinghamLandcare Research, and School of Biological Sciences, University of AucklandVerified email at landcareresearch.co.nz

Richard Barker

University of Otago

Verified email at maths.otago.ac.nz

Statistics Bayesan Inference Ecology Wildlife Fisheries


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Model weights and the foundations of multimodel inference WA Link, RJ Barker Ecology 87 (10), 2626-2635, 2006	401	2006
Bayesian inference: with ecological applications WA Link, RJ Barker Academic Press, 2009	396	2009
Joint modeling of live-recapture, tag-resight, and tag-recovery data RJ Barker Biometrics, 666-677, 1997	296	1997
Modeling individual animal histories with multistate capture–recapture models JD Lebreton, JD Nichols, RJ Barker, R Pradel, JA Spendelow Advances in ecological research 41, 87-173, 2009	290	2009
Factors affecting first‐year survival in grey seals and their implications for life history strategy H Ailsa J, MC Bernie J, B Richard J Journal of Animal Ecology 70 (1), 138-149, 2001	239	2001
Multistate survival models and their extensions in Program MARK GC White, WL Kendall, RJ Barker The Journal of Wildlife Management 70 (6), 1521-1529, 2006	161	2006
First evidence that marine protected areas can work for marine mammals AM Gormley, E Slooten, S Dawson, RJ Barker, W Rayment, S du Fresne, ... Journal of Applied Ecology 49 (2), 474-480, 2012	143	2012
On the reliability of N‐mixture models for count data RJ Barker, MR Schofield, WA Link, JR Sauer Biometrics 74 (1), 369-377, 2018	128	2018
Factors influencing survival and long-term population viability of New Zealand long-tailed bats (Chalinolobus tuberculatus): implications for conservation MA Pryde, CFJ O’Donnell, RJ Barker Biological conservation 126 (2), 175-185, 2005	113	2005
Modeling association among demographic parameters in analysis of open population capture–recapture data WA Link, RJ Barker Biometrics 61 (1), 46-54, 2005	113	2005
Modeling the relationship between fecal pellet indices and deer density DM Forsyth, RJ Barker, G Morriss, MP Scroggie The Journal of Wildlife Management 71 (3), 964-970, 2007	107	2007
Within‐site variability in surveys of wildlife populations WA Link, RJ Barker, JR Sauer, S Droege Ecology 75 (4), 1097-1108, 1994	105	1994
Incorporating genotype uncertainty into mark–recapture‐type models for estimating abundance using DNA samples JA Wright, RJ Barker, MR Schofield, AC Frantz, AE Byrom, DM Gleeson Biometrics 65 (3), 833-840, 2009	84	2009
Modelling population change from time series data RJ Barker, JR Sauer Wildlife 2001: populations, 182-194, 1992	73	1992
Sources of variation in waterfowl survival rates DG Krementz, RJ Barker, JD Nichols The Auk 114 (1), 93-102, 1997	71	1997
Efficient estimation of abundance for patchily distributed populations via two‐phase, adaptive sampling MJ Conroy, JP Runge, RJ Barker, MR Schofield, CJ Fonnesbeck Ecology 89 (12), 3362-3370, 2008	67	2008
Statistical aspects of point count sampling RJ Barker, JR Sauer In: Ralph, C. John; Sauer, John R.; Droege, Sam, technical editors. 1995 …, 1995	65	1995
Modeling tag loss in New Zealand fur seal pups CJA Bradshaw, RJ Barker, LS Davis Journal of Agricultural, Biological, and Environmental Statistics, 475-485, 2000	63	2000
A field test of two methods for density estimation MG Efford, B Warburton, MC Coleman, RJ Barker Wildlife Society Bulletin 33 (2), 731-738, 2005	61	2005
Flexible hierarchical mark-recapture modeling for open populations using WinBUGS MR Schofield, RJ Barker, DI MacKenzie Environmental and Ecological Statistics 16 (3), 369-387, 2009	60	2009

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