Peter M. Burrows

870 citations
35 papers · 651 indexed · h-index 14

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals
    • Insect-Plant Interactions and Control

Papers in

Peter M. Burrows

34 papers receiving 571 citations

Peers

Peter M. Burrows
Comparison fields: 5 of 85
  • Genetics 285
  • Insect Science 117
  • Statistics and Probability 69
  • Plant Science 214
  • Ecology, Evolution, Behavior and Systematics 100
Replace R. J. Mahon with:
R. J. Mahon Australia
John W. Gowen United States
A. Genizi Israel
Jay L. Lush United States
Étienne Fondjo Cameroon
Nicholas D. Pattengale United States
Masoud Alipour Switzerland
Yaniv Ovadia United States
A. R. Gilmour Australia
D.E. Pinnock United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter M. Burrows

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Burrows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Burrows. 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 Peter M. Burrows. The network helps show where Peter M. Burrows may publish in the future.

Co-authors

The 23 scholars most cited alongside Peter M. Burrows, 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 Peter M. Burrows Line = papers co-authored together Peter M. Burrows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197283
2 197278
3 198451
4 198445
5 196938
6 198732
7 196932
8 199429
9 198128
10 197924
11 199822
12 197121
13 197517
14 196915
15 198413
16 200313
17 197412
18 197611
19 198611
20 19808

About Peter M. Burrows

Peter M. Burrows is a scholar working on Horticulture, Insect Science, Genetics, Statistics and Probability and Plant Science, having authored 35 papers that have together received 651 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers), Genetics and Plant Breeding (4 papers), Plant Virus Research Studies (3 papers), Genetic diversity and population structure (3 papers), Nematode management and characterization studies (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Genetics (285 citations), Insect Science (117 citations), Statistics and Probability (69 citations), Plant Science (214 citations) and Ecology, Evolution, Behavior and Systematics (100 citations). Peter M. Burrows has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include R. J. Phelps, C. Clark Cockerham, Timothy Prout, S. S. Y. Young, O. W. Barnett, M. R. McLaughlin, Joe E. Toler, Joseph K. Peterson, Howard W. Fescemyer and F. M. Johnson. Their work appears in journals such as Biometrics, The American Naturalist, Entomologia Experimentalis et Applicata, Phytopathology and The American Statistician.

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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