Robert J. MacKay

3.9k total citations
119 papers, 2.7k citations indexed

About

Robert J. MacKay is a scholar working on Statistics, Probability and Uncertainty, Equine and Statistics and Probability. According to data from OpenAlex, Robert J. MacKay has authored 119 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics, Probability and Uncertainty, 25 papers in Equine and 21 papers in Statistics and Probability. Recurrent topics in Robert J. MacKay's work include Veterinary Equine Medical Research (25 papers), Advanced Statistical Process Monitoring (24 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Robert J. MacKay is often cited by papers focused on Veterinary Equine Medical Research (25 papers), Advanced Statistical Process Monitoring (24 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). Robert J. MacKay collaborates with scholars based in United States, Canada and United Kingdom. Robert J. MacKay's co-authors include Christian Genest, Arthur T. Denzau, Stefan H. Steiner, John Heritage, Lyle Friesen, Jerald F. Lawless, Paul F.J. Eagles, Jeffrey A. Robinson, Stefan Steiner and Jorge A. Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Econometrica.

In The Last Decade

Robert J. MacKay

110 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. MacKay United States 26 445 411 373 333 301 119 2.7k
Gudmund R. Iversen United States 13 293 0.7× 113 0.3× 11 0.0× 172 0.5× 138 0.5× 36 2.6k
Ulf Olsson Sweden 27 331 0.7× 93 0.2× 103 0.3× 168 0.5× 257 0.9× 112 3.2k
Dominique Peeters Belgium 30 121 0.3× 16 0.0× 53 0.1× 365 1.1× 62 0.2× 154 3.0k
Lyman Ott United States 16 168 0.4× 65 0.2× 9 0.0× 134 0.4× 181 0.6× 29 3.3k
B. Wade Brorsen United States 37 69 0.2× 23 0.1× 110 0.3× 2.4k 7.3× 435 1.4× 309 4.2k
Richard A. Groeneveld United States 14 637 1.4× 248 0.6× 3 0.0× 203 0.6× 225 0.7× 45 2.9k
Robert B. Miller United States 17 321 0.7× 200 0.5× 5 0.0× 547 1.6× 251 0.8× 73 2.6k
Colin Aitken United Kingdom 25 270 0.6× 82 0.2× 16 0.0× 73 0.2× 119 0.4× 97 2.1k
E. J. Snell United Kingdom 11 796 1.8× 177 0.4× 5 0.0× 229 0.7× 153 0.5× 25 1.9k
Ronald D. Fricker United States 20 223 0.5× 282 0.7× 7 0.0× 158 0.5× 99 0.3× 65 2.1k

Countries citing papers authored by Robert J. MacKay

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. MacKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. MacKay. 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 Robert J. MacKay. The network helps show where Robert J. MacKay may publish in the future.

Co-authorship network of co-authors of Robert J. MacKay

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. MacKay. A scholar is included among the top collaborators of Robert J. MacKay 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 Robert J. MacKay. Robert J. MacKay 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.
MacKay, Robert J., et al.. (2021). Genomic Association of Chronic Idiopathic Anhidrosis to a Potassium Channel Subunit in a Large Animal Model. Journal of Investigative Dermatology. 141(11). 2639–2645.e3. 3 indexed citations
2.
Sanchez, L. Chris, Amanda M. House, Caryn E. Plummer, et al.. (2020). Plasma l ‐indospicine and 3‐nitropropionic acid in ponies fed creeping indigo: Comparison with results from an episode of presumptive creeping indigo toxicosis. Equine Veterinary Journal. 54(1). 145–152. 1 indexed citations
3.
MacKay, Robert J.. (2019). Treatment Options for Melanoma of Gray Horses. Veterinary Clinics of North America Equine Practice. 35(2). 311–325. 16 indexed citations
4.
Steiner, Stefan, et al.. (2019). Using telematics data to find risky driver behaviour. Accident Analysis & Prevention. 131. 131–136. 33 indexed citations
5.
Johnson, Eric B., Robert J. MacKay, & Jorge A. Hernández. (2010). An epidemiologic study of anhidrosis in horses in Florida. Journal of the American Veterinary Medical Association. 236(10). 1091–1097. 8 indexed citations
6.
Stevens, Nathaniel T., Stefan H. Steiner, I. Smith, & Robert J. MacKay. (2010). Monitoring radiation use in cardiac fluoroscopy imaging procedures. Medical Physics. 38(1). 317–326. 6 indexed citations
7.
Browne, Ryan P., Stefan Steiner, & Robert J. MacKay. (2009). Optimal two‐stage reliability studies. Statistics in Medicine. 29(2). 229–235. 2 indexed citations
8.
MacKay, Robert J.. (2008). Quantitative intradermal terbutaline sweat test in horses. Equine Veterinary Journal. 40(5). 518–520. 14 indexed citations
9.
Watson, Elizabeth, et al.. (2008). What Is Your Neurologic Diagnosis?. Journal of the American Veterinary Medical Association. 232(2). 201–204. 1 indexed citations
10.
Steiner, Stefan & Robert J. MacKay. (2007). Statistical engineering: A case study. Quality Engineering. 52(1). 93–94. 1 indexed citations
11.
Levine, Jonathan M., Emma Adam, Robert J. MacKay, et al.. (2007). Confirmed and Presumptive Cervical Vertebral Compressive Myelopathy in Older Horses: A Retrospective Study (1992–2004). Journal of Veterinary Internal Medicine. 21(4). 812–812. 43 indexed citations
12.
Troedsson, Mats H.T., Margo L. Macpherson, Amara H. Estrada, et al.. (2006). Management of hydrops amnion in a mare resulting in birth of a live foal. Journal of the American Veterinary Medical Association. 228(8). 1228–1233. 17 indexed citations
13.
MacKay, Robert J.. (2005). Neurologic Disorders of Neonatal Foals. Veterinary Clinics of North America Equine Practice. 21(2). 387–406. 24 indexed citations
14.
15.
Brown, Cynthia A., Robert J. MacKay, Sundeep Chandra, Douglas M. Davenport, & Ε. T. Lyons. (1997). Overwhelming strongyloidosis in a foal. Journal of the American Veterinary Medical Association. 211(3). 333–334. 8 indexed citations
16.
MacKay, Robert J. & Stefan H. Steiner. (1997). STRATEGIES FOR VARIABILITY REDUCTION. Quality Engineering. 10(1). 125–136. 22 indexed citations
17.
MacKay, Robert J., et al.. (1996). Effect of vaccination of ponies with A4 anti-idiotypic antibody on serum idiotype (1C9) and antilipid A concentration. American Journal of Veterinary Research. 57(5). 655–658. 2 indexed citations
18.
MacKay, Robert J., et al.. (1993). Effects of intra-articularly administered endotoxin on clinical signs of disease and synovial fluid tumor necrosis factor, interleukin 6, and prostaglandin E2 values in horses. American Journal of Veterinary Research. 54(3). 379–386. 39 indexed citations
19.
MacKay, Robert J., et al.. (1982). Type C Toxicoinfectious Botulism in a Foal. Journal of the American Veterinary Medical Association. 180(2). 163–164. 9 indexed citations
20.
Denzau, Arthur T., et al.. (1979). SPENDING LIMITATIONS, AGENDA CONTROL AND VOTERS' EXPECTATIONS. National Tax Journal. 32(S1). 189–200. 15 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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