Garth Tarr

562 citations
32 papers · 381 · h-index 12

Impact in

    • Meat and Animal Product Quality
    • Effects of Environmental Stressors on Livestock
    • Animal Nutrition and Physiology
    • Animal Behavior and Welfare Studies

Papers in

Garth Tarr

31 papers receiving 372 citations

Peers

Garth Tarr
Comparison fields: 5 of 102
  • Animal Science and Zoology 175
  • Small Animals 56
  • Statistics and Probability 62
  • Statistics, Probability and Uncertainty 16
  • Agronomy and Crop Science 23
Replace David Causeur with:
David Causeur France
Afrânio Márcio Corrêa Vieira Brazil
M. S. Khan Pakistan
Kristof Mertens Belgium
Mohammad Masood Tariq Pakistan
Gordana Kralik Croatia
George H. Brown Australia
C. M. von Krosigk United States
Jaime Alonso Spain
Mitsunori Kayano Japan
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Citations per field
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Citations per year

Countries citing papers authored by Garth Tarr

Since Specialization
Citations

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

Fields of papers citing papers by Garth Tarr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Garth Tarr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Garth Tarr Line = papers co-authored together Garth Tarr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201438
2 202036
3 201935
4 201534
5 201626
6 201126
7 202021
8 201920
9 201819
10 201919
11 202217
12 201112
13 201811
14 202110
15 20217
16 20246
17 20225
18 20225
19 20194
20 20243

About Garth Tarr

Garth Tarr is a scholar working on Animal Science and Zoology, Statistics and Probability, Genetics, Small Animals and Agronomy and Crop Science, having authored 32 papers that have together received 381 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (13 papers), Statistical Methods and Inference (8 papers), Genetic and phenotypic traits in livestock (7 papers), Effects of Environmental Stressors on Livestock (7 papers), Animal Nutrition and Physiology (7 papers), Advanced Statistical Methods and Models (7 papers), Animal Behavior and Welfare Studies (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). The work is most often cited by research in Animal Science and Zoology (175 citations), Small Animals (56 citations), Statistics and Probability (62 citations), Statistics, Probability and Uncertainty (16 citations) and Agronomy and Crop Science (23 citations). Garth Tarr has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Samuel Müller, N. C. Weber, L. A. González, P. McGilchrist, Diane Dancer, Rod Polkinghorne, G.E. Gardner, D.W. Pethick, Keigo KUCHIDA and Frank R. Dunshea. Their work appears in journals such as Meat Science, Animals, Journal of Statistical Computation and Simulation, Foods and Computational Statistics & Data Analysis.

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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