Andrew S. Buxton

924 total citations
10 papers, 435 citations indexed

About

Andrew S. Buxton is a scholar working on Ecology, Molecular Biology and Ecological Modeling. According to data from OpenAlex, Andrew S. Buxton has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 5 papers in Molecular Biology and 5 papers in Ecological Modeling. Recurrent topics in Andrew S. Buxton's work include Environmental DNA in Biodiversity Studies (10 papers), Microbial Community Ecology and Physiology (6 papers) and Species Distribution and Climate Change (5 papers). Andrew S. Buxton is often cited by papers focused on Environmental DNA in Biodiversity Studies (10 papers), Microbial Community Ecology and Physiology (6 papers) and Species Distribution and Climate Change (5 papers). Andrew S. Buxton collaborates with scholars based in United Kingdom, Cyprus and United States. Andrew S. Buxton's co-authors include Richard A. Griffiths, Jim J. Groombridge, Jim E. Griffin, Eleni Matechou and Dimitrios Bormpoudakis and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ecography.

In The Last Decade

Andrew S. Buxton

10 papers receiving 430 citations

Peers

Andrew S. Buxton

ECOLO

MB

EM

NLC

GPC

Rheyda Hinlo Australia

Mathieu Rocle France

Brian Klitgaard Hansen Denmark

Elizabeth Andruszkiewicz Allan United States

Georgia Nester Australia

Nathaniel T. Marshall United States

Graham S. Sellers United Kingdom

Anne Tréguier France

Dominik Kirschner Switzerland

Joshua P. Newton Australia

Rheyda Hinlo Australia

Andrew S. Buxton

339 ×0.8

ECOLO

288 ×0.9

MB

37 ×0.4

EM

82 ×1.0

NLC

13 ×0.4

GPC

Citations per year, relative to Andrew S. Buxton Andrew S. Buxton (= 1×) peers Rheyda Hinlo

Countries citing papers authored by Andrew S. Buxton

Since Specialization

Citations

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

Fields of papers citing papers by Andrew S. Buxton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Buxton. 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 Andrew S. Buxton. The network helps show where Andrew S. Buxton may publish in the future.

Co-authorship network of co-authors of Andrew S. Buxton

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Buxton. A scholar is included among the top collaborators of Andrew S. Buxton 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 Andrew S. Buxton. Andrew S. Buxton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Buxton, Andrew S.. (2022). A revised system for interpreting great crested newt habitat suitability indices. Herpetological Journal. 32(3). 114–119. 1 indexed citations

2.

Buxton, Andrew S., et al.. (2022). Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale. Scientific Reports. 12(1). 1295–1295. 9 indexed citations

3.

Matechou, Eleni, et al.. (2021). An RShiny app for modelling environmental DNA data: accounting for false positive and false negative observation error. Ecography. 44(12). 1838–1844. 19 indexed citations

4.

Buxton, Andrew S., et al.. (2021). Optimising sampling and analysis protocols in environmental DNA studies. Scientific Reports. 11(1). 11637–11637. 47 indexed citations

5.

Buxton, Andrew S.. (2021). How reliable is the habitat suitability index as a predictorof great crested newt presence or absence?. Herpetological Journal. 111–117. 5 indexed citations

6.

Griffin, Jim E., Eleni Matechou, Andrew S. Buxton, Dimitrios Bormpoudakis, & Richard A. Griffiths. (2019). Modelling Environmental DNA Data; Bayesian Variable Selection Accounting for False Positive and False Negative Errors. Journal of the Royal Statistical Society Series C (Applied Statistics). 69(2). 377–392. 48 indexed citations

7.

Buxton, Andrew S., Jim J. Groombridge, & Richard A. Griffiths. (2018). Seasonal variation in environmental DNA detection in sediment and water samples. PLoS ONE. 13(1). e0191737–e0191737. 84 indexed citations

8.

Buxton, Andrew S., Jim J. Groombridge, & Richard A. Griffiths. (2018). Comparison of Two Citizen Scientist Methods for Collecting Pond Water Samples for Environmental DNA Studies. Citizen Science Theory and Practice. 3(2). 2–2. 15 indexed citations

9.

Buxton, Andrew S., et al.. (2017). Seasonal variation in environmental DNA in relation to population size and environmental factors. Scientific Reports. 7(1). 46294–46294. 137 indexed citations

10.

Buxton, Andrew S., Jim J. Groombridge, & Richard A. Griffiths. (2017). Is the detection of aquatic environmental DNA influenced by substrate type?. PLoS ONE. 12(8). e0183371–e0183371. 70 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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