S. T. Buckland

Ecology · 2000–2017

A researcher in the Science corpus: 18 papers; trusts 31 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 71 citations into it; #339 of 10,717 by trust here, #763 by citations
• Nature and Landscape Conservation — 39 citations into it; #5,716 of 6,941 by trust here, #1,913 by citations
• Ecological Modeling — 28 citations into it
• Statistics and Probability — 26 citations into it; #3,402 of 12,932 by trust here, #1,162 by citations
• Ecology, Evolution, Behavior and Systematics — 19 citations into it; #3,817 of 6,648 by trust here, #4,453 by citations
• Artificial Intelligence — 10 citations into it; #15,494 of 35,345 by trust here, #20,377 by citations
• Developmental Biology — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom S. T. Buckland trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stuart E. Newson
2. Arnaud Doucet
3. Michael K. Pitt
4. Claude E. Shannon
5. Rachel M. Fewster
6. Robert Fildes
7. Verena M. Trenkel
8. D. Noble
9. F. Rovero
10. J. Marcus Rowcliffe

Who trusts S. T. Buckland overall

1. G. Guillera‐Arroita
2. Douglas H. Johnson
3. L. Thomas
4. T. Hofmeester
5. Jay Barlow
6. E. Howe
7. R. Gregory
8. Tiago A. Marques
9. M. Efford
10. James D. Nichols

Papers from S. T. Buckland's perspective

Ordered by how strongly the researchers S. T. Buckland trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalized Linear Models
2. Introduction to distance sampling : estimating abundance of biological populations
3. Distance software: design and analysis of distance sampling surveys for estimating population size
4. Generalized Additive Models: An Introduction With R
5. Density Estimation for Statistics and Data Analysis
6. Information Theory and an Extension of the Maximum Likelihood Principle
7. ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS
8. A DOUBLE-OBSERVER APPROACH FOR ESTIMATING DETECTION PROBABILITY AND ABUNDANCE FROM POINT COUNTS
9. Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships
10. LANDBIRD COUNTING TECHNIQUES: CURRENT PRACTICES AND AN ALTERNATIVE

Their papers

• Zigzag survey designs in line transect sampling (2004) — 107 citations
• IMPROVING ESTIMATES OF BIRD DENSITY USING MULTIPLE- COVARIATE DISTANCE SAMPLING (2007) — 357 citations
• Estimating Animal Abundance (2002) — 355 citations
• Distance software: design and analysis of distance sampling surveys for estimating population size (2009) — 2,208 citations
• Fitting Population Dynamics Models to Count and Cull Data Using Sequential Importance Sampling (2000) — 53 citations
• A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS † (2005) — 112 citations
• Validating the use of generalized additive models and at‐sea surveys to estimate size and temporal trends of seabird populations (2003) — 98 citations
• Distance sampling with camera traps (2017) — 232 citations
• Monitoring the biodiversity of regions: Key principles and possible pitfalls (2017) — 82 citations
• Distance Sampling: Methods and Applications (2015) — 442 citations
• The geometric mean of relative abundance indices : a biodiversity measure with a difference (2011) — 101 citations
• Estimating Animal Abundance: Closed Populations (2010) — 115 citations
• Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time. (2010) — 932 citations
• Estimating bird abundance: making methods work (2008) — 262 citations
• POINT-TRANSECT SURVEYS FOR SONGBIRDS: ROBUST METHODOLOGIES (2006) — 346 citations
• Advanced distance sampling (2004) — 283 citations
• State-space models for the dynamics of wild animal populations (2004) — 192 citations
• ANALYSIS OF POPULATION TRENDS FOR FARMLAND BIRDS USING GENERALIZED ADDITIVE MODELS (2000) — 474 citations