Graeme Garner

21 papers receiving 367 citations

Peers

Graeme Garner
Comparison fields: 5 of 64
  • Agronomy and Crop Science 215
  • Modeling and Simulation 27
  • Small Animals 35
  • Ecology, Evolution, Behavior and Systematics 96
  • Infectious Diseases 60
Replace Gaël Beaunée with:
Gaël Beaunée France
Berhanu Admassu Ethiopia
A. Shimshony Israel
Annie Jonsson Sweden
Alexis Avril Sweden
Lucas Léger France
Caroline Sharpe United Kingdom
Olajide A. Owolodun Nigeria
Oun-Kyong Moon South Korea
Hongbin Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Graeme Garner

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 200945
3 201731
4 200631
5 200830
6 200924
7 200722
8 200817
9 201717
10 201014
11 201914
12 200912
13 20228
14 20217
15 20197
16
Using Epidemiological Modelling to Assist FMD Preparedness in Australia
20044
17 20203
18 20221
19 20121
20 20121

About Graeme Garner

Graeme Garner is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Epidemiology and Ecology, having authored 21 papers that have together received 377 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (11 papers), Viral Infections and Immunology Research (4 papers), Data-Driven Disease Surveillance (2 papers), Wildlife Ecology and Conservation (2 papers), Animal Behavior and Welfare Studies (2 papers), Avian ecology and behavior (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (215 citations), Modeling and Simulation (27 citations), Small Animals (35 citations), Ecology, Evolution, Behavior and Systematics (96 citations) and Infectious Diseases (60 citations). Graeme Garner has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Brendan Cowled, Michael P. Ward, I.J. East, Peter T. Daniels, John Calladine, Chris Wernham, Tom Kompas, J. Gloster, Chris Jewell and Mark A. Stevenson. Their work appears in journals such as Preventive Veterinary Medicine, Bird Study, PLoS ONE, Transboundary and Emerging Diseases and Australian Journal of Agricultural and Resource Economics.

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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