G A Miller

479 total citations
22 papers, 305 citations indexed

About

G A Miller is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Ecology. According to data from OpenAlex, G A Miller has authored 22 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Animal Science and Zoology, 7 papers in Agronomy and Crop Science and 5 papers in Ecology. Recurrent topics in G A Miller's work include Effects of Environmental Stressors on Livestock (7 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Genetic and phenotypic traits in livestock (4 papers). G A Miller is often cited by papers focused on Effects of Environmental Stressors on Livestock (7 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Genetic and phenotypic traits in livestock (4 papers). G A Miller collaborates with scholars based in United Kingdom, France and Australia. G A Miller's co-authors include Carol-Anne Duthie, J M Bowen, Marie J. Haskell, Colin Mason, DJ Bell, David Barclay, Andrew J. Edwards, William Thomson, J. J. Hyslop and Robert M. Rees and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dairy Science.

In The Last Decade

G A Miller

20 papers receiving 300 citations

Peers

G A Miller

ASZ

ACS

GENET

ECOLO

I.D.E. van Dixhoorn Netherlands

H.A. Rossow United States

Andrew Toovey Australia

Daniel G. Morrical United States

Boyu Ji China

Milt Thomas United States

D. Warner Netherlands

Paulo Gustavo Macedo de Almeida Martins Brazil

A. Aland Sweden

A.S. Santos Portugal

I.D.E. van Dixhoorn Netherlands

G A Miller

134 ×1.1

ASZ

113 ×1.1

52 ×0.7

ACS

46 ×0.8

GENET

40 ×0.7

ECOLO

Citations per year, relative to G A Miller G A Miller (= 1×) peers I.D.E. van Dixhoorn

Countries citing papers authored by G A Miller

Since Specialization

Citations

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

Fields of papers citing papers by G A Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G A Miller. 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 G A Miller. The network helps show where G A Miller may publish in the future.

Co-authorship network of co-authors of G A Miller

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

All Works

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20 of 20 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

Miller, G A, J M Bowen, R.J. Dewhurst, et al.. (2023). Enteric Methane Emissions from Dairy–Beef Steers Supplemented with the Essential Oil Blend Agolin Ruminant. Animals. 13(11). 1826–1826. 10 indexed citations

Miller, G A, et al.. (2023). Different microbial genera drive methane emissions in beef cattle fed with two extreme diets. Frontiers in Microbiology. 14. 1102400–1102400. 4 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

Cantalapiedra-Hijar, Gonzalo, Isabelle Morel, G A Miller, et al.. (2022). Identifying cattle with superior growth feed efficiency through their natural 15N abundance and plasma urea concentration: A meta-analysis. SHILAP Revista de lepidopterología. 2. 3 indexed citations

Palarea‐Albaladejo, Javier, Dušan Uhrı́n, G A Miller, et al.. (2022). Methane emissions and rumen metabolite concentrations in cattle fed two different silages. Scientific Reports. 12(1). 5441–5441. 22 indexed citations

Bowen, J M, Marie J. Haskell, G A Miller, et al.. (2021). Early prediction of respiratory disease in preweaning dairy calves using feeding and activity behaviors. Journal of Dairy Science. 104(11). 12009–12018. 25 indexed citations

10.

Duthie, Carol-Anne, J M Bowen, DJ Bell, et al.. (2020). Feeding behaviour and activity as early indicators of disease in pre-weaned dairy calves. animal. 15(3). 100150–100150. 45 indexed citations

11.

Frydendahl, Amanda, Peter Lund, M. Derno, et al.. (2020). The gas recovery test of respiratory chambers. Socio-Environmental Systems Modeling. 2 indexed citations

12.

Miller, G A, M.A. Mitchell, Z.E. Barker, et al.. (2020). Using animal-mounted sensor technology and machine learning to predict time-to-calving in beef and dairy cows. animal. 14(6). 1304–1312. 42 indexed citations

13.

Derno, M., Björn Kuhla, K. A. Beauchemin, et al.. (2020). Respiratory chamber facility. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

14.

Dewhurst, R.J. & G A Miller. (2019). Policy Brief: How do different livestock types, sizes and breeds differ in their greenhouse gas emissions?. 1 indexed citations

15.

Miller, G A, Robert M. Rees, Bryan S. Griffiths, & Joanna M. Cloy. (2019). Isolating the effect of soil properties on agricultural soil greenhouse gas emissions under controlled conditions. Soil Use and Management. 36(2). 285–298. 10 indexed citations

16.

Miller, G A, Robert M. Rees, Bryan S. Griffiths, B.C. Ball, & Joanna M. Cloy. (2019). The sensitivity of soil organic carbon pools to land management varies depending on former tillage practices. Soil and Tillage Research. 194. 104299–104299. 22 indexed citations

17.

Muñoz‐Tamayo, Rafael, et al.. (2018). A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle. animal. 13(6). 1180–1187. 10 indexed citations

18.

Miller, G A. (2017). Review of Shakespeare's Twelfth Night (directed by Simon Godwin) at the National Theatre, London, 15 April 2017. Shakespeare. 13(3). 288–290.

19.

Miller, G A, et al.. (2016). Nutritional strategies to reduce enteric methane emissions. 1 indexed citations

20.

Miller, G A, et al.. (1975). Use of an Ammonia Electrode for Determination of Cation Exchange Capacity in Soil Studies. Soil Science Society of America Journal. 39(2). 372–373. 3 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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