A. R. Barr

24 total papers · 401 total citations
15 papers, 295 citations indexed

About

A. R. Barr is a scholar working on Plant Science, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, A. R. Barr has authored 15 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Animal Science and Zoology and 2 papers in Agronomy and Crop Science. Recurrent topics in A. R. Barr's work include Meat and Animal Product Quality (3 papers), Wheat and Barley Genetics and Pathology (3 papers) and Plant Disease Resistance and Genetics (3 papers). A. R. Barr is often cited by papers focused on Meat and Animal Product Quality (3 papers), Wheat and Barley Genetics and Pathology (3 papers) and Plant Disease Resistance and Genetics (3 papers). A. R. Barr collaborates with scholars based in Australia and United States. A. R. Barr's co-authors include K. J. Chalmers, Peter Langridge, A. Karakousis, S. P. Jefferies, S. Manning, A. K. M. R. Islam, J. M. Kretschmer, Stephen B. Powles, Michael Burnet and James C. Nelson and has published in prestigious journals such as Theoretical and Applied Genetics, Journal of the Science of Food and Agriculture and Weed Science.

In The Last Decade

A. R. Barr

13 papers receiving 269 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. R. Barr 260 63 46 39 24 15 295
Pedro Mendes‐Moreira 260 1.0× 102 1.6× 39 0.8× 53 1.4× 56 2.3× 24 346
Ruihong Chen 236 0.9× 109 1.7× 153 3.3× 34 0.9× 15 0.6× 13 344
Caiyun Liu 283 1.1× 58 0.9× 25 0.5× 30 0.8× 93 3.9× 23 333
Pran Gobinda Karmakar 150 0.6× 61 1.0× 45 1.0× 79 2.0× 20 0.8× 12 242
T. Ferguson 176 0.7× 23 0.4× 35 0.8× 25 0.6× 91 3.8× 20 270
Simona Ciancaleoni 209 0.8× 41 0.7× 45 1.0× 21 0.5× 31 1.3× 14 272
Hisatoshi Ohta 291 1.1× 189 3.0× 22 0.5× 14 0.4× 15 0.6× 28 328
Sonali Sangwan 227 0.9× 22 0.3× 93 2.0× 54 1.4× 22 0.9× 18 365
G. Uday 240 0.9× 93 1.5× 44 1.0× 31 0.8× 31 1.3× 19 269
Zunxin Wang 274 1.1× 43 0.7× 74 1.6× 12 0.3× 18 0.8× 14 307

Countries citing papers authored by A. R. Barr

Since Specialization
Citations

This map shows the geographic impact of A. R. Barr'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. Barr 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. Barr more than expected).

Fields of papers citing papers by A. R. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. R. Barr

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

All Works

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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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