R.L. Sanson

1.2k total citations
38 papers, 903 citations indexed

About

R.L. Sanson is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Small Animals. According to data from OpenAlex, R.L. Sanson has authored 38 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Agronomy and Crop Science, 24 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Small Animals. Recurrent topics in R.L. Sanson's work include Animal Disease Management and Epidemiology (35 papers), Vector-Borne Animal Diseases (24 papers) and Viral Infections and Immunology Research (11 papers). R.L. Sanson is often cited by papers focused on Animal Disease Management and Epidemiology (35 papers), Vector-Borne Animal Diseases (24 papers) and Viral Infections and Immunology Research (11 papers). R.L. Sanson collaborates with scholars based in New Zealand, United Kingdom and Canada. R.L. Sanson's co-authors include ROGER S. MORRIS, Mark A. Stevenson, M.W. Stern, J. W. Wilesmith, B.R. Jones, Caroline Dubé, M.G. Garner, Dirk U. Pfeiffer, John Griffin and Laura Burgin and has published in prestigious journals such as Epidemiology and Infection, Veterinary Record and Preventive Veterinary Medicine.

In The Last Decade

R.L. Sanson

38 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.L. Sanson New Zealand 17 721 466 256 196 146 38 903
L. M. Mansley United Kingdom 13 613 0.9× 422 0.9× 285 1.1× 84 0.4× 124 0.8× 14 778
J Smak Netherlands 9 435 0.6× 249 0.5× 190 0.7× 82 0.4× 44 0.3× 12 518
Alberto Laddomada Italy 16 843 1.2× 629 1.3× 387 1.5× 51 0.3× 69 0.5× 27 941
F. Moutou France 17 276 0.4× 168 0.4× 73 0.3× 109 0.6× 141 1.0× 42 643
Moh A. Alkhamis Kuwait 17 406 0.6× 233 0.5× 150 0.6× 32 0.2× 93 0.6× 49 774
Fedor I. Кorennoy Russia 15 402 0.6× 338 0.7× 154 0.6× 28 0.1× 150 1.0× 54 624
Julio Pinto Italy 13 482 0.7× 302 0.6× 224 0.9× 25 0.1× 114 0.8× 28 654
Hu Suk Lee Vietnam 15 251 0.3× 158 0.3× 103 0.4× 60 0.3× 163 1.1× 41 623
P.A.J. Martin Australia 13 405 0.6× 169 0.4× 66 0.3× 75 0.4× 134 0.9× 15 637
FC BALDOCK Australia 17 347 0.5× 210 0.5× 81 0.3× 184 0.9× 91 0.6× 30 941

Countries citing papers authored by R.L. Sanson

Since Specialization
Citations

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

Fields of papers citing papers by R.L. Sanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.L. Sanson

This figure shows the co-authorship network connecting the top 25 collaborators of R.L. Sanson. A scholar is included among the top collaborators of R.L. Sanson 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.L. Sanson. R.L. Sanson 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.
Sanson, R.L., et al.. (2022). Modelling the field personnel resources to control foot‐and‐mouth disease outbreaks in New Zealand. Transboundary and Emerging Diseases. 69(6). 3926–3939. 4 indexed citations
3.
Wada, Masako, et al.. (2020). Real-Time Standard Analysis of Disease Investigation (SADI)—A Toolbox Approach to Inform Disease Outbreak Response. Frontiers in Veterinary Science. 7. 563140–563140. 2 indexed citations
4.
Hagerman, Amy D., Kelly Patyk, R.L. Sanson, et al.. (2018). Temporal and geographic distribution of weather conditions favorable to airborne spread of foot-and-mouth disease in the coterminous United States. Preventive Veterinary Medicine. 161. 41–49. 18 indexed citations
5.
Garner, M.G., R.L. Sanson, Mark A. Stevenson, et al.. (2018). Evaluating vaccination strategies to control foot-and-mouth disease: a country comparison study. Epidemiology and Infection. 146(9). 1138–1150. 16 indexed citations
6.
Garner, Michael G., I.J. East, Mark A. Stevenson, et al.. (2016). Early Decision Indicators for Foot-and-Mouth Disease Outbreaks in Non-Endemic Countries. Frontiers in Veterinary Science. 3. 109–109. 14 indexed citations
7.
Sanson, R.L., et al.. (2014). Simulation modelling of a hypothetical introduction of foot-and-mouth disease into Alberta. Preventive Veterinary Medicine. 114(3-4). 151–163. 15 indexed citations
8.
Stevenson, Mark A., et al.. (2012). InterSpread Plus: a spatial and stochastic simulation model of disease in animal populations. Preventive Veterinary Medicine. 109(1-2). 10–24. 72 indexed citations
9.
Sanson, R.L., Neil Harvey, M.G. Garner, et al.. (2011). Foot and mouth disease model verification and ‘relative validation’ through a formal model comparison. Revue Scientifique et Technique de l OIE. 30(2). 527–540. 30 indexed citations
10.
Gloster, J., Laura Burgin, A. R. Jones, & R.L. Sanson. (2011). Atmospheric dispersion models and their use in the assessment of disease transmission. Revue Scientifique et Technique de l OIE. 30(2). 457–465. 8 indexed citations
11.
Stevenson, Mark A., et al.. (2011). A sensitivity analysis of the New Zealand standard model of foot and mouth disease. Revue Scientifique et Technique de l OIE. 30(2). 513–526. 13 indexed citations
12.
MORRIS, ROGER S., R.L. Sanson, M.W. Stern, Mark A. Stevenson, & J. W. Wilesmith. (2002). Decision-support tools for foot and mouth disease control. Revue Scientifique et Technique de l OIE. 21(3). 557–567. 50 indexed citations
13.
14.
Sanson, R.L., ROGER S. MORRIS, & M.W. Stern. (1999). EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease. Revue Scientifique et Technique de l OIE. 18(3). 593–605. 28 indexed citations
15.
Jones, B.R., R.L. Sanson, & ROGER S. MORRIS. (1997). Elucidating the risk factors of feline lower urinary tract disease. New Zealand Veterinary Journal. 45(3). 100–108. 59 indexed citations
16.
Sanson, R.L., et al.. (1997). A modelling approach to the quantification of the benefits of a national surveillance programme. Preventive Veterinary Medicine. 30(1). 37–47. 7 indexed citations
17.
Sanson, R.L., et al.. (1994). Application of subjective methods to the determination of the likelihood and consequences of the entry of foot-and-mouth disease into New Zealand. New Zealand Veterinary Journal. 42(3). 81–88. 12 indexed citations
18.
Sanson, R.L.. (1994). The epidemiology of foot-and-mouth disease: Implications for New Zealand. New Zealand Veterinary Journal. 42(2). 41–53. 41 indexed citations
19.
Sanson, R.L., Dirk U. Pfeiffer, & ROGER S. MORRIS. (1991). Geographic information systems : their application in animal disease control. Revue Scientifique et Technique de l OIE. 10(1). 179–195. 27 indexed citations
20.
Sanson, R.L.. (1990). Selenium supplementation of sheep by topdressing pastures under high rainfall conditions. New Zealand Veterinary Journal. 38(1). 1–3. 2 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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