A.R. Bayat

3.2k citations
69 papers · 1.2k · h-index 17

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 46
    • Reproductive Physiology in Livestock 18
    • Genetic and phenotypic traits in livestock 20

A.R. Bayat

61 papers receiving 1.2k citations

Peers

A.R. Bayat
Comparison fields: 5 of 113
  • Agronomy and Crop Science 831
  • Animal Science and Zoology 214
  • Process Chemistry and Technology 47
  • Genetics 267
  • Forestry 35
Replace F. Giallongo with:
F. Giallongo United States
Xuezhao Sun New Zealand
Ling Guan Canada
Fuminori Terada Japan
M.T. Harper United States
H.B. Perdok Netherlands
F. Hassanat Canada
M. Wang China
A.R. Castillo United States
John A. Rooke United Kingdom
A.R. Bayat relative to F. Giallongo United States F. Giallongo's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.R. Bayat

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Bayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.R. Bayat, 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 A.R. Bayat Line = papers co-authored together A.R. Bayat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 2017112
3 201693
4 201589
5 201783
6 201982
7 201781
8 201743
9 201638
10 201735
11 202029
12 202123
13 202323
14 202122
15 201920
16 202018
17 200916
18 201814
19
Chemical composition and protein enrichment of orange peels and sugar beet pulp after fermentation by two Trichoderma species.
201514
20 202213

About A.R. Bayat

A.R. Bayat is a scholar working on Agronomy and Crop Science, Genetics, Ecology, Animal Science and Zoology and Nutrition and Dietetics, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (46 papers), Genetic and phenotypic traits in livestock (20 papers), Reproductive Physiology in Livestock (18 papers), Effects of Environmental Stressors on Livestock (9 papers), Agriculture Sustainability and Environmental Impact (7 papers), Fatty Acid Research and Health (5 papers), Turfgrass Adaptation and Management (5 papers) and Odor and Emission Control Technologies (4 papers). The work is most often cited by research in Agronomy and Crop Science (831 citations), Animal Science and Zoology (214 citations), Process Chemistry and Technology (47 citations), Genetics (267 citations) and Forestry (35 citations). A.R. Bayat has collaborated with scholars based in Finland, Iran and United Kingdom. Frequent co-authors include K.J. Shingfield, Johanna Vilkki, Ilma Tapio, Heidi Leskinen, Pekka Huhtanen, Piia Kairenius, Sophie Comtet-Marre, Évelyne Forano, Enyew Negussie and Daniel Fischer. Their work appears in journals such as Journal of Dairy Science, Livestock Science, PLoS ONE, Animal Feed Science and Technology and animal.

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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