S. T. Buckland

37.0k total citations · 12 hit papers
201 papers, 27.5k citations indexed

About

S. T. Buckland is a scholar working on Ecology, Nature and Landscape Conservation and Statistics and Probability. According to data from OpenAlex, S. T. Buckland has authored 201 papers receiving a total of 27.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Ecology, 49 papers in Nature and Landscape Conservation and 43 papers in Statistics and Probability. Recurrent topics in S. T. Buckland's work include Wildlife Ecology and Conservation (80 papers), Avian ecology and behavior (36 papers) and Species Distribution and Climate Change (33 papers). S. T. Buckland is often cited by papers focused on Wildlife Ecology and Conservation (80 papers), Avian ecology and behavior (36 papers) and Species Distribution and Climate Change (33 papers). S. T. Buckland collaborates with scholars based in United Kingdom, United States and Portugal. S. T. Buckland's co-authors include Len Thomas, David L. Borchers, Kenneth P. Burnham, Jeffrey L. Laake, B. Efron, Ryan J. Tibshirani, David R. Anderson, Gary C. White, Robert A. Garrott and Nicole H. Augustin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

S. T. Buckland

197 papers receiving 24.6k citations

Hit Papers

An Introduction to the Bo... 1991 2026 2002 2014 1994 2001 1991 2001 2009 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An Introduction to the Bootstrap.
    1994 2.6k citations S. T. Buckland et al. profile →
  2. Introduction to Distance Sampling
    2001 2.4k citations S. T. Buckland, David L. Borchers et al. profile →
  3. Analysis of Wildlife Radio-Tracking Data.
    1991 2.3k citations S. T. Buckland et al. profile →
  4. Introduction to Distance Sampling: Estimating Abundance of Biological Populations
    2001 1.9k citations S. T. Buckland, David L. Borchers et al. profile →
  5. Distance software: design and analysis of distance sampling surveys for estimating population size
    2009 1.6k citations Len Thomas, S. T. Buckland et al. profile →
  6. Distance Sampling-Estimating Abundance of Biological Populations.
    1994 1.4k citations S. T. Buckland et al. profile →
  7. Model Selection: An Integral Part of Inference
    1997 1.3k citations S. T. Buckland, Nicole H. Augustin et al. profile →
  8. Distance Sampling: Estimating abundance of biological populations
    1993 1.0k citations S. T. Buckland profile →
  9. Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time
    2010 680 citations Stephen R. Baillie, S. T. Buckland et al. profile →
  10. Advanced Distance Sampling
    2004 604 citations S. T. Buckland, David L. Borchers et al. profile →
  11. An Autologistic Model for the Spatial Distribution of Wildlife
    1996 536 citations Nicole H. Augustin, M. A. Mugglestone et al. profile →
  12. Distance Sampling: Methods and Applications
    2015 366 citations S. T. Buckland, Eric A. Rexstad et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. T. Buckland United Kingdom 66 18.5k 7.1k 5.2k 4.6k 3.1k 201 27.5k
David R. Anderson United States 46 18.7k 1.0× 7.8k 1.1× 4.8k 0.9× 3.5k 0.8× 3.9k 1.3× 120 25.5k
David Anderson United Kingdom 21 19.4k 1.1× 11.5k 1.6× 8.5k 1.6× 4.6k 1.0× 7.1k 2.3× 70 37.3k
Fred S. Guthery United States 33 21.7k 1.2× 12.2k 1.7× 9.2k 1.7× 4.9k 1.1× 7.4k 2.4× 126 38.8k
David R. Anderson United States 22 10.4k 0.6× 6.0k 0.8× 4.4k 0.8× 2.1k 0.5× 3.2k 1.0× 39 22.2k
Anne Chao Taiwan 53 11.0k 0.6× 8.2k 1.2× 3.5k 0.7× 3.7k 0.8× 6.6k 2.1× 138 27.0k
B. D. Ripley United Kingdom 48 8.5k 0.5× 7.0k 1.0× 6.2k 1.2× 1.9k 0.4× 4.8k 1.6× 168 50.8k
Gary C. White United States 64 22.0k 1.2× 8.4k 1.2× 5.1k 1.0× 3.8k 0.8× 3.7k 1.2× 236 26.4k
W. N. Venables Australia 32 7.0k 0.4× 5.0k 0.7× 4.8k 0.9× 1.5k 0.3× 3.9k 1.3× 87 27.1k
Hadley Wickham United States 33 12.7k 0.7× 5.3k 0.7× 5.7k 1.1× 1.9k 0.4× 6.4k 2.1× 115 59.5k
James D. Nichols United States 92 32.8k 1.8× 13.1k 1.9× 7.5k 1.4× 11.4k 2.5× 5.4k 1.7× 371 39.3k

Countries citing papers authored by S. T. Buckland

Since Specialization
Citations

This map shows the geographic impact of S. T. Buckland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. T. Buckland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Buckland more than expected).

Fields of papers citing papers by S. T. Buckland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. T. Buckland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. T. Buckland. The network helps show where S. T. Buckland may publish in the future.

Co-authorship network of co-authors of S. T. Buckland

This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Buckland. A scholar is included among the top collaborators of S. T. Buckland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. T. Buckland. S. T. Buckland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rexstad, Eric A., S. T. Buckland, Laura J. Marshall, & David L. Borchers. (2023). Pooling robustness in distance sampling: Avoiding bias when there is unmodelled heterogeneity. Ecology and Evolution. 13(1). e9684–e9684. 5 indexed citations
3.
Kühl, Hjalmar S., et al.. (2023). Estimating effective survey duration in camera trap distance sampling surveys. Ecology and Evolution. 13(10). e10599–e10599. 5 indexed citations
4.
Buckland, S. T. & Jeffrey M. Breiwick. (2023). Estimated trends in abundance of eastern Pacific gray whales from shore counts (1967/68 to 1995/96). ˜The œjournal of cetacean research and management. Special issue. 4(1). 41–48. 15 indexed citations
5.
Buckland, S. T., David L. Borchers, Tiago A. Marques, & Rachel M. Fewster. (2023). Wildlife Population Assessment: Changing Priorities Driven by Technological Advances. Journal of Statistical Theory and Practice. 17(2). 10 indexed citations
6.
Bhattacharya, Tapajit, et al.. (2021). Using distance sampling with camera traps to estimate the density of group-living and solitary mountain ungulates. Oryx. 55(5). 668–676. 20 indexed citations
7.
Camp, Richard J., David L. Miller, Len Thomas, S. T. Buckland, & Steve Kendall. (2020). Using density surface models to estimate spatio‐temporal changes in population densities and trend. Ecography. 43(7). 1079–1089. 15 indexed citations
8.
Oedekoven, C. S., David A. Elston, Philip J. Harrison, et al.. (2017). Attributing changes in the distribution of species abundance to weather variables using the example of British breeding birds. Methods in Ecology and Evolution. 8(12). 1690–1702. 27 indexed citations
9.
Buckland, S. T., Yongwei Yuan, & Éric Marcon. (2017). Measuring temporal trends in biodiversity. AStA Advances in Statistical Analysis. 101(4). 461–474. 14 indexed citations
10.
Lindgren, Finn, et al.. (2016). Point process models for spatio-temporal distance sampling data. arXiv (Cornell University). 3 indexed citations
11.
Buckland, S. T., C. S. Oedekoven, & David L. Borchers. (2015). Model-Based Distance Sampling. Journal of Agricultural Biological and Environmental Statistics. 21(1). 58–75. 27 indexed citations
12.
Dunn, Jennifer B., et al.. (2014). Trial Managers' Network guide to efficient trial management. HMSO eBooks. 1 indexed citations
13.
Buckland, S. T., et al.. (2010). Analyzing designed experiments in distance sampling. Quality Engineering. 55(5). 521–522. 1 indexed citations
14.
Fewster, Rachel M., Colin Southwell, David L. Borchers, S. T. Buckland, & Anthony Pople. (2008). The influence of animal mobility on the assumption of uniform distances in aerial line-transect surveys. Wildlife Research. 35(4). 275–288. 35 indexed citations
15.
Buckland, S. T., Stuart J. Marsden, & Rhys E. Green. (2008). Estimating bird abundance: making methods work. Bird Conservation International. 18(S1). S91–S108. 199 indexed citations
16.
Buckland, S. T.. (2006). Point-Transect Surveys for Songbirds: Robust Methodologies. The Auk. 123(2). 345–357. 107 indexed citations
17.
Trenkel, Verena M., David A. Elston, & S. T. Buckland. (2000). Fitting Population Dynamics Models to Count and Cull Data Using Sequential Importance Sampling. Journal of the American Statistical Association. 95(450). 363–374. 33 indexed citations
18.
Augustin, Nicole H., David L. Borchers, M. A. Mugglestone, & S. T. Buckland. (1996). Regression methods with spatially referenced data. Rothamsted Repository (Rothamsted Repository). 1 indexed citations
19.
Augustin, Nicole H., M. A. Mugglestone, & S. T. Buckland. (1994). The role of the Gibbs sampler in modelling the spatial distribution of wildlife from incomplete survey data. Rothamsted Repository (Rothamsted Repository).
20.
Buckland, S. T. & Stephen R. Baillie. (1987). Estimating bird survival rates from organized mist-netting programmes. Acta Ornithologica. 23(1). 89–100. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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