Andy South

3.6k total citations
38 papers, 2.1k citations indexed

About

Andy South is a scholar working on Ecology, Insect Science and Nature and Landscape Conservation. According to data from OpenAlex, Andy South has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 8 papers in Insect Science and 7 papers in Nature and Landscape Conservation. Recurrent topics in Andy South's work include Wildlife Ecology and Conservation (7 papers), Mosquito-borne diseases and control (6 papers) and Species Distribution and Climate Change (6 papers). Andy South is often cited by papers focused on Wildlife Ecology and Conservation (7 papers), Mosquito-borne diseases and control (6 papers) and Species Distribution and Climate Change (6 papers). Andy South collaborates with scholars based in United Kingdom, United States and Canada. Andy South's co-authors include Janette Lee, Simon Jennings, David W. Macdonald, Robert Kenward, Vanessa Stelzenmüller, Ruth M. Ripley, Graham Hemson, Paul A. Johnson, Ian M. Hastings and Steve Rushton and has published in prestigious journals such as Conservation Biology, Journal of Animal Ecology and Biological Conservation.

In The Last Decade

Andy South

38 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy South United Kingdom 23 1.1k 661 365 344 269 38 2.1k
Michael R. Conover United States 28 2.3k 2.1× 608 0.9× 331 0.9× 511 1.5× 206 0.8× 115 2.8k
Adriano Pereira Paglia Brazil 22 1.0k 0.9× 590 0.9× 628 1.7× 659 1.9× 124 0.5× 68 2.3k
Paul D. Curtis United States 29 2.5k 2.3× 511 0.8× 316 0.9× 534 1.6× 232 0.9× 134 3.7k
Phil O’B. Lyver New Zealand 24 1.1k 1.0× 781 1.2× 185 0.5× 469 1.4× 152 0.6× 59 2.1k
George R. Hess United States 23 768 0.7× 695 1.1× 196 0.5× 501 1.5× 137 0.5× 57 1.7k
R. Justin Irvine United Kingdom 33 2.0k 1.8× 308 0.5× 482 1.3× 217 0.6× 171 0.6× 77 3.0k
Dries P. J. Kuijper Poland 31 2.2k 2.0× 551 0.8× 452 1.2× 1000 2.9× 221 0.8× 89 2.9k
Thomas A. A. Prowse Australia 25 994 0.9× 453 0.7× 253 0.7× 309 0.9× 77 0.3× 77 1.9k
Reuben P. Keller United States 25 1.5k 1.4× 579 0.9× 351 1.0× 972 2.8× 104 0.4× 49 2.4k

Countries citing papers authored by Andy South

Since Specialization
Citations

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

Fields of papers citing papers by Andy South

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy South

This figure shows the co-authorship network connecting the top 25 collaborators of Andy South. A scholar is included among the top collaborators of Andy South 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 Andy South. Andy South 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.
South, Andy, et al.. (2019). The role of windows of selection and windows of dominance in the evolution of insecticide resistance in human disease vectors. Evolutionary Applications. 13(4). 738–751. 20 indexed citations
2.
South, Andy & Ian M. Hastings. (2018). Insecticide resistance evolution with mixtures and sequences: a model-based explanation. Malaria Journal. 17(1). 80–80. 43 indexed citations
3.
Thomsen, Edward, Andy South, Kirsten A. Duda, et al.. (2018). ResistanceSim: development and acceptability study of a serious game to improve understanding of insecticide resistance management in vector control programmes. Malaria Journal. 17(1). 422–422. 6 indexed citations
4.
South, Andy, et al.. (2017). A Two-Locus Model of the Evolution of Insecticide Resistance to Inform and Optimise Public Health Insecticide Deployment Strategies. PLoS Computational Biology. 13(1). e1005327–e1005327. 25 indexed citations
5.
South, Andy. (2017). World Map Data from Natural Earth [R package rnaturalearth version 0.1.0]. 14 indexed citations
6.
Killeen, Gerry F., John M. Marshall, Samson Kiware, et al.. (2017). Measuring, manipulating and exploiting behaviours of adult mosquitoes to optimise malaria vector control impact. BMJ Global Health. 2(2). e000212–e000212. 49 indexed citations
7.
Finnie, Thomas, Andy South, Ana I. Bento, Ellie Sherrard-Smith, & Thibaut Jombart. (2015). EpiJSON: A unified data-format for epidemiology. Epidemics. 15. 20–26. 6 indexed citations
8.
South, Andy. (2012). Developing Creativity and Abstraction in Representing Data.. 1 indexed citations
9.
Stelzenmüller, Vanessa, Janette Lee, Andy South, Jo Foden, & S.I. Rogers. (2012). Practical tools to support marine spatial planning: A review and some prototype tools. Marine Policy. 38. 214–227. 108 indexed citations
10.
South, Andy. (2011). rworldmap : a new R package for mapping global data. The R Journal. 3(1). 35–35. 348 indexed citations
11.
Kaschner, Kristin, Jonathan Stuart Ready, Kathleen Kesner‐Reyes, et al.. (2011). Using 'Aquamaps' for representing species distribution in Regional Seas. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 1 indexed citations
12.
Ready, Jonathan Stuart, Kristin Kaschner, Andy South, et al.. (2009). Predicting the distributions of marine organisms at the global scale. Ecological Modelling. 221(3). 467–478. 155 indexed citations
13.
Hemson, Graham, Paul A. Johnson, Andy South, et al.. (2005). Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home‐range analyses with least‐squares cross‐validation. Journal of Animal Ecology. 74(3). 455–463. 256 indexed citations
14.
Shirley, Mark, Steve Rushton, Graham Smith, Andy South, & Peter W. W. Lurz. (2003). Investigating the spatial dynamics of bovine tuberculosis in badger populations: evaluating an individual-based simulation model. Ecological Modelling. 167(1-2). 139–157. 32 indexed citations
15.
Shirley, Mark, et al.. (2001). Assessing the impact of a music festival on the emergence behaviour of a breeding colony of Daubenton's bats (Myotis daubentonii). Journal of Zoology. 254(3). 367–373. 22 indexed citations
16.
South, Andy & Robert Kenward. (2001). Mate finding, dispersal distances and population growth in invading species: a spatially explicit model. Oikos. 95(1). 53–58. 49 indexed citations
17.
Rushton, Steve, Peter W. W. Lurz, Andy South, & A. Mitchell‐Jones. (1999). Modelling the distribution of red squirrels (Sciurus vulgaris) on the Isle of Wight. Animal Conservation. 2(2). 111–120. 23 indexed citations
18.
Lurz, Peter W. W., et al.. (1999). Modelling the distribution of red squirrels (Sciurus vulgaris) on the Isle of Wight. Animal Conservation. 2(2). 111–120. 1 indexed citations
19.
South, Andy, et al.. (1998). Cached fungi in non-native conifer forests and their importance for red squirrels (Sciurus vulgaris L.). Journal of Zoology. 246(4). 443–486. 2 indexed citations
20.
South, Andy. (1964). Estimation of slug populations. Annals of Applied Biology. 53(2). 251–258. 52 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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