Ruth King

5.6k citations
95 papers · 3.4k · 1 hit paper · h-index 29

Impact in

Papers in

    • Wildlife Ecology and Conservation 38
    • Avian ecology and behavior 16
    • Marine animal studies overview 13
    • Animal Ecology and Behavior Studies 9
    • Census and Population Estimation 33
    • Statistical Methods and Bayesian Inference 12

Ruth King

92 papers receiving 3.3k citations

Hit Papers

Bayesian statistics and modelling 2021 · 616 citations
6160+1+3Years since publication200400600

Peers

Ruth King
Comparison fields: 5 of 195
  • Ecological Modeling 332
  • Statistics and Probability 610
  • Ecology 1.6k
  • Nature and Landscape Conservation 586
  • Developmental Biology 98
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Citations per field
00.5×20×40×60×78×
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Citations per year

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-authors

The 25 scholars most cited alongside Ruth King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruth King Line = papers co-authored together Ruth King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bayesian statistics and modelling
Hit paper breakdown →
2021616
2 2012320
3 1985227
4 2012196
5 2009166
6 2004134
7
2016125
8 201483
9 201378
10 201276
11 199761
12 200157
13 202156
14 201255
15 200352
16 200745
17 201742
18 201339
19 200831
20 199931

About Ruth King

Ruth King is a scholar working on Ecology, Statistics and Probability, Artificial Intelligence, Nature and Landscape Conservation and Epidemiology, having authored 95 papers that have together received 3.4k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (38 papers), Census and Population Estimation (33 papers), Bayesian Methods and Mixture Models (17 papers), Avian ecology and behavior (16 papers), Marine animal studies overview (13 papers), Statistical Methods and Bayesian Inference (12 papers), Animal Ecology and Behavior Studies (9 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Ecological Modeling (332 citations), Statistics and Probability (610 citations), Ecology (1.6k citations), Nature and Landscape Conservation (586 citations) and Developmental Biology (98 citations). Ruth King has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen P. Brooks, Byron J. T. Morgan, Jason Matthiopoulos, Len Thomas, Roland Langrock, Juan M. Morales, Joukje E. Willemsen, Mahlet G. Tadesse, Rens van de Schoot and Kaspar Märtens. Their work appears in journals such as Journal of Agricultural Biological and Environmental Statistics, Biometrics, The Annals of Applied Statistics, Ecology and Evolution and Nature Reviews Methods Primers.

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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