R. V. Large

573 citations
30 papers · 481 · h-index 13

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 16
    • Reproductive Physiology in Livestock 4
    • Genetic and phenotypic traits in livestock 15

R. V. Large

30 papers receiving 378 citations

Peers

R. V. Large
Comparison fields: 5 of 45
  • Agronomy and Crop Science 291
  • Forestry 45
  • Small Animals 65
  • Animal Science and Zoology 80
  • Genetics 195
Replace A. L. Rae with:
A. L. Rae New Zealand
J. L. Hull United States
James Brown United States
W. T. Butts United States
A. R. Gilmour Australia
C. R. Long United States
D.G. Mccall New Zealand
J. L. Wheeler Australia
W. L. Reynolds United States
Carmen Silva Pereira Brazil
R. V. Large relative to A. L. Rae New Zealand A. L. Rae's profile →
Citations per field
00.5×1.6×
A. L. Rae · 1×
Citations per year

Countries citing papers authored by R. V. Large

Since Specialization
Citations

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

Fields of papers citing papers by R. V. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. V. Large. 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 R. V. Large. The network helps show where R. V. Large may publish in the future.

Co-authors

The 10 scholars most cited alongside R. V. Large, 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 R. V. Large Line = papers co-authored together R. V. Large links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198373
2 198564
3 197041
4 196535
5 195734
6 196327
7 196421
8 196719
9
The evaluation of herbage species by grazing animals.
196618
10 196514
11 197013
12 195913
13 196413
14 198611
15 196410
16 19859
17 19667
18 19657
19 19577
20 19597

About R. V. Large

R. V. Large is a scholar working on Agronomy and Crop Science, Genetics, Plant Science, Small Animals and Ocean Engineering, having authored 30 papers that have together received 481 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (16 papers), Genetic and phenotypic traits in livestock (15 papers), Reproductive Physiology in Livestock (4 papers), Oil and Gas Production Techniques (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Offshore Engineering and Technologies (2 papers), Pasture and Agricultural Systems (2 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (291 citations), Forestry (45 citations), Small Animals (65 citations), Animal Science and Zoology (80 citations) and Genetics (195 citations). R. V. Large has collaborated with scholars based in China, British Virgin Islands and United States. Frequent co-authors include C. R. W. Spedding, John Cobby, M. S. Ridout, T. H. Brown, P. D. Penning, J. C. Tayler, J. E. Newton, Robert D. Baker, J. R. B. Tallowin and John Williams. Their work appears in journals such as The Journal of Agricultural Science, Grass and Forage Science, Animal Science, SPE Production & Operations and Proceedings of The Nutrition Society.

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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