David Barclay

450 total citations
13 papers, 271 citations indexed

About

David Barclay is a scholar working on Animal Science and Zoology, Small Animals and Genetics. According to data from OpenAlex, David Barclay has authored 13 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 3 papers in Small Animals and 3 papers in Genetics. Recurrent topics in David Barclay's work include Effects of Environmental Stressors on Livestock (6 papers), Meat and Animal Product Quality (4 papers) and Food Supply Chain Traceability (3 papers). David Barclay is often cited by papers focused on Effects of Environmental Stressors on Livestock (6 papers), Meat and Animal Product Quality (4 papers) and Food Supply Chain Traceability (3 papers). David Barclay collaborates with scholars based in United Kingdom, United States and Germany. David Barclay's co-authors include Emma Baxter, Mhairi Jack, Richard B. D’Eath, G A Miller, Carol-Anne Duthie, Andrew J. Edwards, William Thomson, J. J. Hyslop, Helen Senn and Muḥammad Ghazālī and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Meat Science.

In The Last Decade

David Barclay

11 papers receiving 267 citations

Peers

David Barclay

ASZ

GENET

ECOLO

Késia Oliveira da Silva Miranda Brazil

Kristina Maschat Austria

Clément Allain France

Kym P. Patison Australia

Christopher Davison United Kingdom

Kaitlin Elizabeth Wurtz United States

Thomas D. Parsons United States

Haiming Gan China

Ángel Pinto Colombia

Bryce Little Australia

Késia Oliveira da Silva Miranda Brazil

David Barclay

169 ×1.4

193 ×1.8

ASZ

32 ×0.4

GENET

31 ×0.6

ECOLO

42 ×1.1

Citations per year, relative to David Barclay David Barclay (= 1×) peers Késia Oliveira da Silva Miranda

Countries citing papers authored by David Barclay

Since Specialization

Citations

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

Fields of papers citing papers by David Barclay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Barclay

This figure shows the co-authorship network connecting the top 25 collaborators of David Barclay. A scholar is included among the top collaborators of David Barclay 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 David Barclay. David Barclay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Lambe, N.R., G A Miller, Andrea Doeschl‐Wilson, et al.. (2025). On-farm 3D images of beef cattle for the prediction of carcass classification traits and cold carcass weight. animal. 19(6). 101529–101529.

Lambe, N.R., et al.. (2024). Machine learning algorithms for the prediction of EUROP classification grade and carcass weight, using 3-dimensional measurements of beef carcasses. SHILAP Revista de lepidopterología. 5. 2 indexed citations

Lambe, N.R., et al.. (2024). Meat yields and primal cut weights from beef carcasses can be predicted with similar accuracies using in-abattoir 3D measurements or EUROP classification grade. Meat Science. 222. 109738–109738. 2 indexed citations

Lambe, N.R., et al.. (2023). Using in-abattoir 3-dimensional measurements from images of beef carcasses for the prediction of EUROP classification grade and carcass weight. Meat Science. 209. 109391–109391. 4 indexed citations

Alexander, Justine Shanti, et al.. (2023). Delivery of educational material increased awareness of the elusive Pallas’s cat in Southern Mongolia. Applied Environmental Education & Communication. 22(1). 1–12.

D’Eath, Richard B., et al.. (2021). Changes in tail posture detected by a 3D machine vision system are associated with injury from damaging behaviours and ill health on commercial pig farms. PLoS ONE. 16(10). e0258895–e0258895. 11 indexed citations

Girling, Simon J., Romain Pizzi, Douglas K. Richardson, et al.. (2020). USE OF CLINDAMYCIN IN PALLAS' CATS [OTOCOLOBUS (FELIS) MANUL] TO REDUCE JUVENILE TOXOPLASMOSIS-ASSOCIATED MORTALITY RATES. Journal of Zoo and Wildlife Medicine. 51(1). 39–39. 4 indexed citations

Miller, G A, J. J. Hyslop, David Barclay, et al.. (2019). Using 3D Imaging and Machine Learning to Predict Liveweight and Carcass Characteristics of Live Finishing Beef Cattle. Frontiers in Sustainable Food Systems. 3. 53 indexed citations

D’Eath, Richard B., et al.. (2018). Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak. PLoS ONE. 13(4). e0194524–e0194524. 86 indexed citations

10.

Senn, Helen, Muḥammad Ghazālī, Jennifer Kaden, et al.. (2018). Distinguishing the victim from the threat: SNP‐based methods reveal the extent of introgressive hybridization between wildcats and domestic cats in Scotland and inform future in situ and ex situ management options for species restoration. Evolutionary Applications. 12(3). 399–414. 56 indexed citations

11.

Sun, He, et al.. (2017). Combining Image Analysis and Smart Data Mining for Precision Agriculture in Livestock Farming. 6 indexed citations

12.

Ren, Jinchang, et al.. (2015). Automatic Animal Detection from Kinect Sensed Images for Livestock Monitoring and Assessment. 1154–1157. 26 indexed citations

13.

Stone, Kevin, James M. Keller, Derek T. Anderson, & David Barclay. (2012). An automatic detection system for buried explosive hazards in FL-LWIR and FL-GPR data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8357. 83571E–83571E. 21 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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