Ruth King

5.6k total citations · 1 hit paper
95 papers, 3.4k citations indexed

About

Ruth King is a scholar working on Ecology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Ruth King has authored 95 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ecology, 41 papers in Statistics and Probability and 22 papers in Artificial Intelligence. Recurrent topics in Ruth King's work include Wildlife Ecology and Conservation (38 papers), Census and Population Estimation (33 papers) and Bayesian Methods and Mixture Models (17 papers). Ruth King is often cited by papers focused on Wildlife Ecology and Conservation (38 papers), Census and Population Estimation (33 papers) and Bayesian Methods and Mixture Models (17 papers). Ruth King collaborates with scholars based in United Kingdom, United States and Germany. Ruth King's co-authors include Stephen P. Brooks, Byron J. T. Morgan, Jason Matthiopoulos, Len Thomas, Roland Langrock, Juan M. Morales, Kaspar Märtens, Marina Vannucci, Rens van de Schoot and Andrew Gelman and has published in prestigious journals such as Journal of the American Statistical Association, Ecology and American Journal of Epidemiology.

In The Last Decade

Ruth King

92 papers receiving 3.3k citations

Hit Papers

Bayesian statistics and modelling 2021 2026 2022 2024 2021 200 400 600
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. Bayesian statistics and modelling
    2021 616 citations Rens van de Schoot, Sarah Depaoli et al. Nature Reviews Methods Primers profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth King United Kingdom 29 1.6k 610 586 404 396 95 3.4k
Jonah Gabry United States 12 867 0.5× 445 0.7× 599 1.0× 423 1.0× 595 1.5× 16 4.7k
Uwe Ligges Germany 12 758 0.5× 430 0.7× 545 0.9× 215 0.5× 383 1.0× 41 3.2k
Christian Kleiber Germany 17 1.0k 0.7× 652 1.1× 597 1.0× 237 0.6× 914 2.3× 37 5.3k
Ben Goodrich United States 12 672 0.4× 747 1.2× 525 0.9× 814 2.0× 502 1.3× 26 5.7k
Daniel Simpson United Kingdom 20 643 0.4× 680 1.1× 429 0.7× 553 1.4× 671 1.7× 57 4.3k
Walter Zucchini Germany 28 1.1k 0.7× 946 1.6× 368 0.6× 838 2.1× 522 1.3× 54 4.3k
Michael Betancourt United States 11 677 0.4× 927 1.5× 519 0.9× 855 2.1× 501 1.3× 24 6.1k
Jiqiang Guo United States 9 551 0.3× 787 1.3× 441 0.8× 705 1.7× 440 1.1× 13 5.2k
Daniel C. Lee Canada 11 517 0.3× 684 1.1× 410 0.7× 710 1.8× 402 1.0× 58 5.3k
Rolf Turner New Zealand 17 927 0.6× 260 0.4× 1.0k 1.7× 347 0.9× 849 2.1× 41 4.8k

Countries citing papers authored by Ruth King

Since Specialization
Citations

This map shows the geographic impact of Ruth King'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 Ruth King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth King more than expected).

Fields of papers citing papers by Ruth King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth King. 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 Ruth King. The network helps show where Ruth King may publish in the future.

Co-authorship network of co-authors of Ruth King

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth King. A scholar is included among the top collaborators of Ruth King 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 Ruth King. Ruth King 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.
King, Ruth, et al.. (2023). A decade of humpback whale abundance estimates at Bermuda, an oceanic migratory stopover site. Frontiers in Marine Science. 9. 1 indexed citations
2.
McCrea, Rachel S., Ruth King, Laura Graham, & Luca Börger. (2023). Realising the promise of large data and complex models. Methods in Ecology and Evolution. 14(1). 4–11. 14 indexed citations
3.
Newman, Ken B., Ruth King, V́ıctor Elvira, et al.. (2022). State‐space models for ecological time‐series data: Practical model‐fitting. Methods in Ecology and Evolution. 14(1). 26–42. 26 indexed citations
4.
Smithers‐Sheedy, Hayley, Ruth King, Lisa Hui, et al.. (2022). eLearning significantly improves maternity professionals’ knowledge of the congenital cytomegalovirus prevention guidelines. Australian and New Zealand Journal of Obstetrics and Gynaecology. 62(3). 445–452. 11 indexed citations
5.
Schoot, Rens van de, Sarah Depaoli, Ruth King, et al.. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers. 1(1). 616 indexed citations breakdown →
6.
King, Ruth, et al.. (2020). Multiple Systems Estimation for Modern Slavery: Robustness of List Omission and Combination. Crime & Delinquency. 67(13-14). 2213–2236. 6 indexed citations
7.
Papathomas, Michail, et al.. (2019). Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models. Edinburgh Research Explorer. 5 indexed citations
8.
Amorós, Rubén, Ruth King, Hidenori Toyoda, et al.. (2019). A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma. METRON. 77(2). 67–86. 12 indexed citations
9.
Patterson, Toby A., et al.. (2016). Statistical modelling of animal movement: a myopic review and a discussion of good practice. arXiv (Cornell University). 10 indexed citations
10.
Oedekoven, C. S., et al.. (2014). Bayesian Methods for Hierarchical Distance Sampling Models. Journal of Agricultural Biological and Environmental Statistics. 19(2). 219–239. 23 indexed citations
11.
Overstall, Antony M. & Ruth King. (2013). A default prior distribution for contingency tables with dependent factor levels. Statistical Methodology. 16(100). 90–99. 8 indexed citations
12.
King, Ruth. (2013). Statistical Ecology. Annual Review of Statistics and Its Application. 1(1). 401–426. 39 indexed citations
13.
Bonner, Simon J., Byron J. T. Morgan, & Ruth King. (2010). Continuous Covariates in Mark‐Recapture‐Recovery Analysis: A Comparison of Methods. Biometrics. 66(4). 1256–1265. 30 indexed citations
14.
Bird, Sheila M., Sharon Hutchinson, Gordon Hay, & Ruth King. (2009). Missing targets on drugs-related deaths, and a Scottish paradox. International Journal of Drug Policy. 21(3). 155–159. 7 indexed citations
15.
King, Ruth, Stephen P. Brooks, & Tim Coulson. (2008). Analyzing Complex Capture–Recapture Data in the Presence of Individual and Temporal Covariates and Model Uncertainty. Biometrics. 64(4). 1187–1195. 28 indexed citations
16.
King, Ruth, Sheila M. Bird, Steve Brooks, Sharon Hutchinson, & Gordon Hay. (2005). Prior Information in Behavioral Capture-Recapture Methods: Demographic Influences on Drug Injectors' Propensity to Be Listed in Data Sources and Their Drug-related Mortality. American Journal of Epidemiology. 162(7). 694–703. 25 indexed citations
17.
King, Ruth, et al.. (2004). Bayesian analysis of the Hector's Dolphin data. Animal Biodiversity and Conservation. 27(1). 343–354. 6 indexed citations
18.
King, Ruth & Stephen P. Brooks. (2002). Model Selection for Integrated Recovery/Recapture Data. Biometrics. 58(4). 841–851. 26 indexed citations
19.
20.
King, Ruth, et al.. (1954). An outbreak of infectious hepatitis affecting a rural community in Ontario.. PubMed. 45(7). 279–83. 1 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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