E. Sergeant

1.1k total citations
46 papers, 724 citations indexed

About

E. Sergeant is a scholar working on Epidemiology, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, E. Sergeant has authored 46 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 14 papers in Agronomy and Crop Science and 11 papers in Small Animals. Recurrent topics in E. Sergeant's work include Mycobacterium research and diagnosis (17 papers), Animal Disease Management and Epidemiology (14 papers) and Infectious Diseases and Mycology (7 papers). E. Sergeant is often cited by papers focused on Mycobacterium research and diagnosis (17 papers), Animal Disease Management and Epidemiology (14 papers) and Infectious Diseases and Mycology (7 papers). E. Sergeant collaborates with scholars based in Australia, Ireland and India. E. Sergeant's co-authors include P.A.J. Martin, Richard J. Whittington, Simon J. More, Angus Cameron, Kristen Barfod, Matthias Greiner, D. J. Marshall, I.J. East, M.G. Garner and Ian B. Marsh and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Journal of Dairy Science.

In The Last Decade

E. Sergeant

42 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Sergeant Australia 16 362 243 194 155 116 46 724
Eran A. Raizman United States 18 439 1.2× 294 1.2× 209 1.1× 250 1.6× 195 1.7× 43 899
Adriana Cortéz Brazil 20 158 0.4× 271 1.1× 210 1.1× 399 2.6× 194 1.7× 108 1.3k
FC BALDOCK Australia 17 231 0.6× 347 1.4× 184 0.9× 245 1.6× 210 1.8× 30 941
Simona Zoppi Italy 16 232 0.6× 174 0.7× 80 0.4× 273 1.8× 96 0.8× 47 609
Barbara Moloney Australia 14 250 0.7× 276 1.1× 99 0.5× 222 1.4× 105 0.9× 31 601
Alessia Libera Gazzonis Italy 21 262 0.7× 139 0.6× 193 1.0× 252 1.6× 90 0.8× 66 1.1k
P.A.J. Martin Australia 13 153 0.4× 405 1.7× 75 0.4× 139 0.9× 169 1.5× 15 637
Sergio Aurelio Zanzani Italy 23 263 0.7× 158 0.7× 275 1.4× 404 2.6× 188 1.6× 84 1.4k
T. Mallon United Kingdom 13 234 0.6× 88 0.4× 166 0.9× 250 1.6× 49 0.4× 25 523
Krzysztof Anusz Poland 15 218 0.6× 82 0.3× 131 0.7× 254 1.6× 44 0.4× 96 679

Countries citing papers authored by E. Sergeant

Since Specialization
Citations

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

Fields of papers citing papers by E. Sergeant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Sergeant

This figure shows the co-authorship network connecting the top 25 collaborators of E. Sergeant. A scholar is included among the top collaborators of E. Sergeant 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 E. Sergeant. E. Sergeant 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.
Bannister-Tyrrell, Melanie, Citra Indriani, Riris Andono Ahmad, et al.. (2023). Utility of surveillance data for planning for dengue elimination in Yogyakarta, Indonesia: a scenario-tree modelling approach. BMJ Global Health. 8(11). e013313–e013313. 2 indexed citations
2.
Sergeant, E., et al.. (2022). Estimating population sensitivity and confidence of freedom from highly pathogenic avian influenza in the Victorian poultry industry using passive surveillance. Preventive Veterinary Medicine. 202. 105622–105622. 3 indexed citations
3.
Sergeant, E., et al.. (2021). Simulation modelling to estimate the herd-sensitivity of various pool sizes to test beef herds for Johne's disease in Australia. Preventive Veterinary Medicine. 189. 105294–105294. 4 indexed citations
4.
Cowled, Brendan, et al.. (2021). Use of scenario tree modelling to plan freedom from infection surveillance: Mycoplasma bovis in New Zealand. Preventive Veterinary Medicine. 198. 105523–105523. 5 indexed citations
5.
Dhand, Navneet K., et al.. (2019). Determining an optimal pool size for testing beef herds for Johne’s disease in Australia. PLoS ONE. 14(11). e0225524–e0225524. 12 indexed citations
6.
Sergeant, E., Conor G. McAloon, Jamie A. Tratalos, et al.. (2019). Evaluation of national surveillance methods for detection of Irish dairy herds infected with Mycobacterium avium ssp. paratuberculosis. Journal of Dairy Science. 102(3). 2525–2538. 26 indexed citations
7.
Sergeant, E., et al.. (2017). Evaluation of Australian surveillance for freedom from bovine tuberculosis. Australian Veterinary Journal. 95(12). 474–479. 1 indexed citations
8.
Kennedy, David J., et al.. (2017). Guidelines for certification with respect to the movement of livestock for Mycobacterium avium subsp paratuberculosis (MAP) infection. Research at the University of Copenhagen (University of Copenhagen). 2 indexed citations
9.
Sergeant, E., et al.. (2016). Quantitative Risk Assessment for African Horse Sickness in Live Horses Exported from South Africa. PLoS ONE. 11(3). e0151757–e0151757. 17 indexed citations
10.
East, I.J., et al.. (2015). Assessing the delay to detection and the size of the outbreak at the time of detection of incursions of foot and mouth disease in Australia. Preventive Veterinary Medicine. 123. 1–11. 29 indexed citations
11.
Sergeant, E.. (2014). Import Risk Analysis: Sable antelope from Zambia into South Africa. 1 indexed citations
12.
More, Simon J., et al.. (2013). The effect of alternative testing strategies and bio-exclusion practices on Johne’s disease risk in test-negative herds. Journal of Dairy Science. 96(3). 1581–1590. 19 indexed citations
13.
East, I.J., et al.. (2013). Use of a multi-criteria analysis framework to inform the design of risk based general surveillance systems for animal disease in Australia. Preventive Veterinary Medicine. 112(3-4). 230–247. 31 indexed citations
14.
Anderson, Dean P., David S. L. Ramsey, Graham Nugent, et al.. (2013). A novel approach to assess the probability of disease eradication from a wild-animal reservoir host. Epidemiology and Infection. 141(7). 1509–1521. 57 indexed citations
15.
Evans, I. G., et al.. (2012). Effect of plastic occlusive clips used as an alternative to mulesing on breech conformation, body weight and survival of Merino lambs. Australian Veterinary Journal. 90(3). 88–96. 5 indexed citations
16.
Sergeant, E., et al.. (2011). Proving freedom in a disease with multiple host species: an area case study for TB control in New Zealand.. 95–97. 3 indexed citations
17.
Sergeant, E.. (2011). Risk-based surveillance made simple.. 71–74.
18.
Dhand, Navneet K., E. Sergeant, Jenny‐Ann Toribio, & Richard J. Whittington. (2010). Estimation of sensitivity and flock-sensitivity of pooled faecal culture for Mycobacterium avium subsp. paratuberculosis in sheep. Preventive Veterinary Medicine. 95(3-4). 248–257. 14 indexed citations
19.
Martin, P.A.J., Angus Cameron, Kristen Barfod, E. Sergeant, & Matthias Greiner. (2007). Demonstrating freedom from disease using multiple complex data sources. Preventive Veterinary Medicine. 79(2-4). 98–115. 96 indexed citations
20.
Sergeant, E.. (1994). Seroprevalence ofBrucella ovisinfection in commercial ram flocks in the Tamworth area. New Zealand Veterinary Journal. 42(3). 97–100. 12 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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