R.W. Humphry

1.6k total citations
49 papers, 1.2k citations indexed

About

R.W. Humphry is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, R.W. Humphry has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 16 papers in Ecology, Evolution, Behavior and Systematics and 13 papers in Infectious Diseases. Recurrent topics in R.W. Humphry's work include Animal Disease Management and Epidemiology (25 papers), Vector-Borne Animal Diseases (15 papers) and Viral gastroenteritis research and epidemiology (11 papers). R.W. Humphry is often cited by papers focused on Animal Disease Management and Epidemiology (25 papers), Vector-Borne Animal Diseases (15 papers) and Viral gastroenteritis research and epidemiology (11 papers). R.W. Humphry collaborates with scholars based in United Kingdom, Netherlands and Ireland. R.W. Humphry's co-authors include George J. Gunn, Alistair W. Stott, Angus Cameron, M. Carolyn Gates, K. D. Bennett, Mark Woolhouse, H.W. Saatkamp, Damer P. Blake, J. C. Low and D.R. Fenlon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Applied Ecology.

In The Last Decade

R.W. Humphry

48 papers receiving 1.1k citations

Peers

R.W. Humphry
B. Gummow South Africa
Keith Howe United Kingdom
G. Nodelijk Netherlands
Paul R. Bessell United Kingdom
Andy Catley United States
R.W. Humphry
Citations per year, relative to R.W. Humphry R.W. Humphry (= 1×) peers Irene Iglesias

Countries citing papers authored by R.W. Humphry

Since Specialization
Citations

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

Fields of papers citing papers by R.W. Humphry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.W. Humphry. 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 R.W. Humphry. The network helps show where R.W. Humphry may publish in the future.

Co-authorship network of co-authors of R.W. Humphry

This figure shows the co-authorship network connecting the top 25 collaborators of R.W. Humphry. A scholar is included among the top collaborators of R.W. Humphry 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 R.W. Humphry. R.W. Humphry 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.
Fourichon, Christine, Michel W. F. Nielen, G. van Schaik, et al.. (2023). A framework for assessing confidence in freedom from infection in animal disease control programmes. Revue Scientifique et Technique de l OIE. 42. 210–217. 2 indexed citations
2.
3.
Kock, Johannes H. De, Helen Ann Latham, Richard G. Cowden, et al.. (2022). The mental health of NHS staff during the COVID-19 pandemic: two-wave Scottish cohort study. BJPsych Open. 8(1). e23–e23. 18 indexed citations
4.
Madouasse, Aurélien, Nils Toft, I.M.G.A. Santman-Berends, et al.. (2022). Output-based assessment of herd-level freedom from infection in endemic situations: Application of a Bayesian Hidden Markov model. Preventive Veterinary Medicine. 204. 105662–105662. 2 indexed citations
5.
Humphry, R.W., Aaron Reeves, Carla Correia‐Gomes, et al.. (2021). Estimating antimicrobial usage based on sales to beef and dairy farms from UK veterinary practices. Veterinary Record. 189(1). e28–e28. 9 indexed citations
6.
McCann, Catherine M., et al.. (2019). The British E. coli O157 in cattle study (BECS): factors associated with the occurrence of E. coli O157 from contemporaneous cross-sectional surveys. BMC Veterinary Research. 15(1). 444–444. 4 indexed citations
7.
Humphry, R.W., Aaron Reeves, & George J. Gunn. (2018). Strategies for screening young stock for antibodies – optimising numbers to test, cut-points, & predictive values for bovine viral diarrhoea virus. Scientific Reports. 8(1). 9532–9532. 3 indexed citations
8.
Tongue, Sue C., J A Evans, Iain J. McKendrick, et al.. (2017). BritishEscherichia coliO157 in Cattle Study (BECS): to determine the prevalence ofE. coliO157 in herds with cattle destined for the food chain. Epidemiology and Infection. 145(15). 3168–3179. 21 indexed citations
9.
Humphry, R.W., et al.. (2017). An empirical comparison of isolate-based and sample-based definitions of antimicrobial resistance and their effect on estimates of prevalence. Preventive Veterinary Medicine. 150. 143–150. 1 indexed citations
10.
Duncan, Andrew J., George J. Gunn, Christina Umstätter, & R.W. Humphry. (2014). Replicating disease spread in empirical cattle networks by adjusting the probability of infection in random networks. Theoretical Population Biology. 98. 11–18. 1 indexed citations
11.
Gates, M. Carolyn, R.W. Humphry, & George J. Gunn. (2013). Associations between bovine viral diarrhoea virus (BVDV) seropositivity and performance indicators in beef suckler and dairy herds. The Veterinary Journal. 198(3). 631–637. 20 indexed citations
12.
Gates, M. Carolyn, Mark Woolhouse, George J. Gunn, & R.W. Humphry. (2013). Relative associations of cattle movements, local spread, and biosecurity with bovine viral diarrhoea virus (BVDV) seropositivity in beef and dairy herds. Preventive Veterinary Medicine. 112(3-4). 285–295. 46 indexed citations
13.
Stott, Alistair W., et al.. (2012). Predicted costs and benefits of eradicating BVDV from Ireland. Irish Veterinary Journal. 65(1). 12–12. 55 indexed citations
14.
Duncan, Andrew J., George J. Gunn, Fraser Lewis, Christina Umstätter, & R.W. Humphry. (2012). The influence of empirical contact networks on modelling diseases in cattle. Epidemics. 4(3). 117–123. 20 indexed citations
15.
Agyemang, Charles, R.W. Humphry, & Raj Bhopal. (2011). Divergence With Age in Blood Pressure in African-Caribbean and White Populations in England: Implications for Screening for Hypertension. American Journal of Hypertension. 25(1). 89–96. 13 indexed citations
16.
Stott, Alistair W., R.W. Humphry, & George J. Gunn. (2009). Modelling the effects of previous infection and re-infection on the costs of bovine viral diarrhoea outbreaks in beef herds. The Veterinary Journal. 185(2). 138–143. 23 indexed citations
17.
Gunn, George J., H.W. Saatkamp, R.W. Humphry, & Alistair W. Stott. (2005). Assessing economic and social pressure for the control of bovine viral diarrhoea virus. Preventive Veterinary Medicine. 72(1-2). 149–162. 77 indexed citations
18.
Humphry, R.W., Alistair W. Stott, & GJ Gunn. (2005). Modelling BVD at herd level compared with individual animal level. Preventive Veterinary Medicine. 72(1-2). 169–175. 9 indexed citations
19.
Gunn, George J., Alistair W. Stott, & R.W. Humphry. (2003). Modelling and costing BVD outbreaks in beef herds. The Veterinary Journal. 167(2). 143–149. 106 indexed citations
20.
Stott, Alistair W., James W. Lloyd, R.W. Humphry, & George J. Gunn. (2003). A linear programming approach to estimate the economic impact of bovine viral diarrhoea (BVD) at the whole-farm level in Scotland. Preventive Veterinary Medicine. 59(1-2). 51–66. 41 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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