Shevaun Paine

1.3k citations
15 papers · 671 indexed · 1 hit paper · h-index 10
Topics
Salmonella and Campylobacter epidemiology (6 papers)Viral gastroenteritis research and epidemiology (4 papers)Bacillus and Francisella bacterial research (3 papers)

In The Last Decade

Shevaun Paine

14 papers receiving 652 citations

Hit Papers

Pandemic influenza A(H1N1)v in New Zealand: the experienc...2009202620142020200950100150

Peers

Shevaun Paine
Comparison fields: 5 of 98
  • Epidemiology 247
  • Modeling and Simulation 193
  • Infectious Diseases 190
  • Food Science 101
  • Public Health, Environmental and Occupational Health 78
Replace Graham Mackereth with:
Graham Mackereth New Zealand
D Coulombier Sweden
Britta Lassmann United States
Obaghe Edeghere United Kingdom
Mària E. Moll United States
Marcus Lem Canada
Helmut Uphoff Germany
Moa Rehn Sweden
Lorenzo Pezzoli Switzerland
Mamta Pathak India
Shevaun Paine relative to Graham Mackereth New Zealand Graham Mackereth's profile →
Citations per field
00.5×
Graham Mackereth · 1×
Citations per year

Countries citing papers authored by Shevaun Paine

Since Specialization
Citations

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

Fields of papers citing papers by Shevaun Paine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shevaun Paine

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 5
3 3
4 9
5 23
6 188
7 21
8 16
9 27
10 35
11 61
12 8
13 45
14 60
15
Pandemic influenza A(H1N1)v in New Zealand: the experience from April to August 2009breakdown →
170

About Shevaun Paine

Shevaun Paine is a scholar working on Modeling and Simulation, Food Science and Parasitology, having authored 15 papers that have together received 671 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Bacillus and Francisella bacterial research (3 papers). The work is most often cited by research in Modeling and Simulation (193 citations), Infectious Diseases (190 citations) and Biotechnology (69 citations). Shevaun Paine has collaborated with scholars based in New Zealand, Australia and Switzerland. Frequent co-authors include Don Bandaranayake, Virginia Hope, Q. Sue Huang, Michael G. Baker, Graham Mackereth, Craig Thornley, Colin McArthur, Sarah Jefferies, Liang Yang and Patricia Priest. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases and BMJ Open.

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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