Clair Alston‐Knox

1.3k citations
63 papers · 877 · h-index 17

Impact in

  • Archeology top 2%
    • Forensic Anthropology and Bioarchaeology Studies
  • Soil Science top 10%
    • Soil Carbon and Nitrogen Dynamics

Papers in

Clair Alston‐Knox

62 papers receiving 820 citations

Peers

Clair Alston‐Knox
Comparison fields: 5 of 147
  • Archeology 112
  • Soil Science 91
  • Forestry 35
  • Agronomy and Crop Science 67
  • Clinical Psychology 122
Replace Pedro Antonio García López with:
Pedro Antonio García López Spain
Sıddık Keskin Türkiye
Taro Yamauchi Japan
Ana Tereza Bittencourt Guimarães Brazil
D. J. Saville New Zealand
A. J. B. Anderson United States
Kevin S. McCarter United States
Philip A. Robertson United States
Otto Schmid Switzerland
Ian C. Simpson Spain
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Clair Alston‐Knox, 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 Clair Alston‐Knox Line = papers co-authored together Clair Alston‐Knox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 200564
3 201357
4 201750
5 199746
6 201244
7 200138
8 199934
9 201433
10 199632
11 201830
12 201928
13 201821
14 201620
15 201818
16 200217
17 201516
18 201914
19 202014
20 201814

About Clair Alston‐Knox

Clair Alston‐Knox is a scholar working on Genetics, Artificial Intelligence, Statistics and Probability, Sociology and Political Science and Agronomy and Crop Science, having authored 63 papers that have together received 877 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Genetic and phenotypic traits in livestock (7 papers), Crime Patterns and Interventions (6 papers), Statistical Methods and Bayesian Inference (6 papers), Stalking, Cyberstalking, and Harassment (6 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Autopsy Techniques and Outcomes (6 papers) and Soil Geostatistics and Mapping (5 papers). The work is most often cited by research in Archeology (112 citations), Soil Science (91 citations), Forestry (35 citations), Agronomy and Crop Science (67 citations) and Clinical Psychology (122 citations). Clair Alston‐Knox has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Laura S. Gregory, Dawn Adams, Kate Simpson, Deb Keen, Peter Hayman, Kerrie Mengersen, Malem McLeod, Brian Wilson, Matthew Meredith and Helen Heussler. Their work appears in journals such as Computational Statistics & Data Analysis, American Journal of Physical Anthropology, Forensic Science International, Meat Science and Journal of Forensic Sciences.

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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