Clair Alston‐Knox

1.3k total citations
63 papers, 877 citations indexed

About

Clair Alston‐Knox is a scholar working on Genetics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Clair Alston‐Knox has authored 63 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 11 papers in Artificial Intelligence and 10 papers in Statistics and Probability. Recurrent topics in Clair Alston‐Knox's work include Bayesian Methods and Mixture Models (8 papers), Genetic and phenotypic traits in livestock (7 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Clair Alston‐Knox is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Genetic and phenotypic traits in livestock (7 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Clair Alston‐Knox collaborates with scholars based in Australia, United Kingdom and United States. Clair Alston‐Knox's co-authors include Laura S. Gregory, Dawn Adams, Kate Simpson, Deb Keen, Peter Hayman, Kerrie Mengersen, Brian Wilson, Malem McLeod, Matthew Meredith and Helen Heussler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Clair Alston‐Knox

62 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clair Alston‐Knox Australia 17 139 122 113 112 109 63 877
Pedro Antonio García López Spain 19 48 0.3× 44 0.4× 191 1.7× 16 0.1× 114 1.0× 77 1.3k
Sıddık Keskin Türkiye 20 158 1.1× 52 0.4× 142 1.3× 85 0.8× 23 0.2× 126 1.3k
Julio González Spain 21 17 0.1× 82 0.7× 24 0.2× 43 0.4× 513 4.7× 103 1.6k
Jutta Gampe Germany 15 109 0.8× 17 0.1× 48 0.4× 134 1.2× 13 0.1× 40 1.1k
Michael A. Little United States 19 195 1.4× 33 0.3× 16 0.1× 45 0.4× 8 0.1× 54 987
Ann Peterson Australia 16 36 0.3× 58 0.5× 24 0.2× 5 0.0× 166 1.5× 40 1.1k
Taro Yamauchi Japan 18 197 1.4× 30 0.2× 12 0.1× 38 0.3× 20 0.2× 103 1.3k
Ana Tereza Bittencourt Guimarães Brazil 18 49 0.4× 28 0.2× 119 1.1× 13 0.1× 8 0.1× 119 1.2k
Grete Grindal Patil Norway 22 139 1.0× 94 0.8× 459 4.1× 6 0.1× 44 0.4× 47 2.3k
Jennifer H. Dennis United States 23 133 1.0× 89 0.7× 334 3.0× 1 0.0× 118 1.1× 62 1.7k

Countries citing papers authored by Clair Alston‐Knox

Since Specialization
Citations

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

Fields of papers citing papers by Clair Alston‐Knox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clair Alston‐Knox. 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 Clair Alston‐Knox. The network helps show where Clair Alston‐Knox may publish in the future.

Co-authorship network of co-authors of Clair Alston‐Knox

This figure shows the co-authorship network connecting the top 25 collaborators of Clair Alston‐Knox. A scholar is included among the top collaborators of Clair Alston‐Knox 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 Clair Alston‐Knox. Clair Alston‐Knox 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.
Williams, A., et al.. (2024). Improved cut weight predictions from DEXA scans of lamb carcasses enables more accurate allocation of cuts to processing plans. Meat Science. 216. 109556–109556. 1 indexed citations
2.
Alston‐Knox, Clair, et al.. (2022). Sire Breed, Litter Size, and Environment Influence Genetic Potential for Lamb Growth When Using Sire Breeding Values. Animals. 12(4). 501–501. 7 indexed citations
3.
Alston‐Knox, Clair, et al.. (2022). Online Routine Activities and Self-Guardianship against Cyber Abuse. Victims & Offenders. 18(4). 623–645. 8 indexed citations
4.
Mawby, Rob, et al.. (2022). Tourism and Crime: An Exploratory Study of Burglary From Tourist Accommodation From the Criminal Opportunity Perspective. Crime & Delinquency. 69(11). 2164–2193. 10 indexed citations
5.
Alston‐Knox, Clair, et al.. (2021). Explaining Victim Impact from Cyber Abuse: An Exploratory Mixed Methods Analysis. Deviant Behavior. 43(10). 1153–1172. 12 indexed citations
6.
Beamish, Wendi, et al.. (2021). High school teacher perceptions of implementation of evidence-based practices for classroom management. Teacher Development. 25(5). 669–686. 1 indexed citations
7.
Karki, Sikha, Paul Burton, Brendan Mackey, & Clair Alston‐Knox. (2021). Status and drivers of food insecurity and adaptation responses under a changing climate among smallholder farmers households in Bagmati Province, Nepal. Environment Development and Sustainability. 23(10). 14642–14665. 8 indexed citations
8.
Alston‐Knox, Clair, et al.. (2020). The influence of second-row players on lumbar spine kinematics of front-row players during rugby union scrummaging. Science & Sports. 36(3). e131–e140. 1 indexed citations
9.
Beamish, Wendi, et al.. (2020). Classroom management practices commonly used by secondary school teachers: results from a Queensland survey. The Australian Educational Researcher. 48(3). 485–505. 14 indexed citations
10.
Williams, Lauren, et al.. (2019). How Does Diet Change with A Diagnosis of Diabetes? Protocol of the 3D Longitudinal Study. Nutrients. 11(1). 158–158. 14 indexed citations
11.
Alston‐Knox, Clair, et al.. (2019). Quantifying the ossification of the carpus in skeletal age estimation: Radiographic standards for Australian subadults. Forensic Science International. 301. e8–e13. 5 indexed citations
12.
Milburn, Peter, et al.. (2019). Cervical spine kinematics during machine-based and live scrummaging. Journal of Sports Sciences. 37(13). 1551–1559. 3 indexed citations
13.
Alston‐Knox, Clair, et al.. (2019). Teaching and Learning in Statistics: Harnessing the power of modern statistical software to improve students statistical reasoning and thinking. RiuNet (Politechnical University of Valencia). 2 indexed citations
14.
Alston‐Knox, Clair, et al.. (2018). Non-significant p-values? Strategies to understand and better determine the importance of effects and interactions in logistic regression. PLoS ONE. 13(11). e0205076–e0205076. 30 indexed citations
15.
Moyle, Wendy, et al.. (2018). Determinants of medication adherence in older people with dementia from the caregivers’ perspective. International Psychogeriatrics. 31(3). 331–339. 14 indexed citations
16.
Alston‐Knox, Clair, et al.. (2017). Modelling habitat and planning surveillance using Landsat imagery: a case study using Imported Red Fire ants. Biological Invasions. 20(5). 1349–1367. 3 indexed citations
17.
Alston‐Knox, Clair, et al.. (2013). Case studies in Bayesian statistical modelling and analysis. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
18.
Wilson, Brian, et al.. (2005). Carbon storage in the soils and vegetation of contrasting land uses in northern New South Wales, Australia. Soil Research. 43(1). 21–31. 64 indexed citations
19.
Alston‐Knox, Clair, et al.. (2005). Integrating Science Through Bayesian Belief Networks: Case Study of Lyngbya in Moreton Bay. Congress on Modelling and Simulation. 20(3). 392–399. 9 indexed citations
20.
Griffith, Garry R., et al.. (1996). AUSTRALIAN FARM WORK INJURIES: INCIDENCE, DIVERSITY AND PERSONAL RISK FACTORS. Australian Journal of Rural Health. 4(3). 179–189. 32 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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