Peter Cockcroft

1.1k total citations
54 papers, 525 citations indexed

About

Peter Cockcroft is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Small Animals. According to data from OpenAlex, Peter Cockcroft has authored 54 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Small Animals. Recurrent topics in Peter Cockcroft's work include Animal Disease Management and Epidemiology (15 papers), Vector-Borne Animal Diseases (10 papers) and Veterinary Practice and Education Studies (8 papers). Peter Cockcroft is often cited by papers focused on Animal Disease Management and Epidemiology (15 papers), Vector-Borne Animal Diseases (10 papers) and Veterinary Practice and Education Studies (8 papers). Peter Cockcroft collaborates with scholars based in United Kingdom, Australia and Malaysia. Peter Cockcroft's co-authors include Peter Jackson, Mark A. Holmes, Mark J. Holmes, Michael P. Reichel, Kamalan Jeevaratnam, Christine Parker, Vishna Devi Nadarajah, Frances Henson, Sasha R. Lanyon and Farhid Hemmatzadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Veterinary Journal.

In The Last Decade

Peter Cockcroft

51 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Cockcroft United Kingdom 12 161 151 109 79 76 54 525
Sebastian Arlt Germany 17 350 2.2× 295 2.0× 119 1.1× 56 0.7× 18 0.2× 69 749
Helen M. Higgins United Kingdom 10 100 0.6× 131 0.9× 33 0.3× 24 0.3× 13 0.2× 27 326
John J. Dascanio United States 15 159 1.0× 94 0.6× 167 1.5× 36 0.5× 28 0.4× 56 574
Joanne Hewson Canada 12 105 0.7× 160 1.1× 59 0.5× 80 1.0× 40 0.5× 35 472
Selene Huntley United Kingdom 8 53 0.3× 83 0.5× 39 0.4× 19 0.2× 11 0.1× 11 328
Kathrin Schemann Australia 12 180 1.1× 82 0.5× 73 0.7× 15 0.2× 92 1.2× 29 354
Peggy L. Schmidt United States 10 24 0.1× 33 0.2× 70 0.6× 8 0.1× 30 0.4× 24 265
Vivienne Duggan Ireland 16 105 0.7× 209 1.4× 32 0.3× 46 0.6× 25 0.3× 46 488
Kirsten E. Bailey Australia 15 33 0.2× 90 0.6× 51 0.5× 32 0.4× 18 0.2× 30 620
Alex Whitmarsh United Kingdom 8 16 0.1× 126 0.8× 46 0.4× 15 0.2× 11 0.1× 11 392

Countries citing papers authored by Peter Cockcroft

Since Specialization
Citations

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

Fields of papers citing papers by Peter Cockcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Cockcroft

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Cockcroft. A scholar is included among the top collaborators of Peter Cockcroft 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 Peter Cockcroft. Peter Cockcroft 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.
Cockcroft, Peter, et al.. (2026). Workplace‐based clinical training. Part 1: quality assurance and operational delivery. In Practice. 48(2). 96–99.
2.
3.
Cockcroft, Peter, John Remnant, C.M. Westermann, et al.. (2023). Rating and ranking preparedness characteristics important for veterinary workplace clinical training: a novel application of pairwise comparisons and the Elo algorithm. Frontiers in Medicine. 10. 1128058–1128058. 3 indexed citations
4.
Cockcroft, Peter, John Remnant, C.M. Westermann, et al.. (2023). Clinical supervisors' and students' perspectives on preparedness for veterinary workplace clinical training: An international study. Veterinary Record. 193(10). e3504–e3504. 2 indexed citations
5.
Cockcroft, Peter, et al.. (2022). Stakeholder perspectives on veterinary student preparedness for workplace clinical training – a qualitative study. BMC Veterinary Research. 18(1). 340–340. 7 indexed citations
6.
Cockcroft, Peter, et al.. (2022). Using Learning Theories to Develop a Veterinary Student Preparedness Toolkit for Workplace Clinical Training. Frontiers in Veterinary Science. 9. 833034–833034. 8 indexed citations
7.
Cockcroft, Peter, et al.. (2021). Student perspectives of preparedness characteristics for clinical learning within a fully distributed veterinary teaching model. PLoS ONE. 16(5). e0249669–e0249669. 7 indexed citations
8.
Cockcroft, Peter, et al.. (2021). Veterinary Education during Covid-19 and Beyond—Challenges and Mitigating Approaches. Animals. 11(6). 1818–1818. 25 indexed citations
9.
Hemmatzadeh, Farhid, et al.. (2018). Natural transmission of bovine viral diarrhoea virus‐1c from a persistently infected neonate lamb to naïve sheep and cattle. Veterinary Record. 182(12). 352–352. 4 indexed citations
10.
11.
Reichel, Michael P., et al.. (2015). Erysipelothrix rhusiopathiae and Mycoplasma hyopneumoniae. Journal of Veterinary Diagnostic Investigation. 27(2). 211–216. 5 indexed citations
12.
Cockcroft, Peter. (2007). Clinical Reasoning and Decision Analysis. Veterinary Clinics of North America Small Animal Practice. 37(3). 499–520. 17 indexed citations
13.
Holmes, Mark A., Peter Cockcroft, Charles E. Booth, & M. F. Heath. (2005). Controlled clinical trial of the effect of a homoeopathic nosode on the somatic cell counts in the milk of clinically normal dairy cows. Veterinary Record. 156(18). 565–567. 12 indexed citations
14.
Cockcroft, Peter & A. M. Clark. (2005). The Shetland Islands scrapie monitoring and control programme: Analysis of the clinical data collected from 772 scrapie suspects 1985–1997. Research in Veterinary Science. 80(1). 33–44. 2 indexed citations
15.
Kuncheva, Ludmila I., Christopher J. Whitaker, Peter Cockcroft, & Zoë Hoare. (2004). Pre-selection of independent binary features: an application to diagnosing Scrapie in sheep. arXiv (Cornell University). 325–332. 1 indexed citations
16.
Cockcroft, Peter. (2003). The similarity of the physical sign frequencies of bovine spongiform encephalopathy and selected differential diagnoses. The Veterinary Journal. 167(2). 175–180. 2 indexed citations
17.
Cockcroft, Peter, et al.. (2000). The likelihood of subclinical mastitis in quarters with different types of teat lesions in the dairy cow.. 8(3). 293–299. 9 indexed citations
18.
Cockcroft, Peter. (2000). Clinical sign profile likelihood ratios for bovine spongiform encephalopathy suspects. Research in Veterinary Science. 68(3). 285–290. 4 indexed citations
19.
Cockcroft, Peter, et al.. (1996). Selection of advantaged and disadvantaged South African students- for university admission. South African Journal of Higher Education. 10(1). 110–118. 6 indexed citations
20.
Cockcroft, Peter. (1993). Dissolution of obstructive urethral uroliths in a ram. Veterinary Record. 132(19). 486–486. 11 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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