S. A. M. Perryman

50 total papers · 1.3k total citations
27 papers, 863 citations indexed

About

S. A. M. Perryman is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, S. A. M. Perryman has authored 27 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 6 papers in Cell Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in S. A. M. Perryman's work include Plant Pathogens and Fungal Diseases (6 papers), Plant Disease Resistance and Genetics (4 papers) and Weed Control and Herbicide Applications (3 papers). S. A. M. Perryman is often cited by papers focused on Plant Pathogens and Fungal Diseases (6 papers), Plant Disease Resistance and Genetics (4 papers) and Weed Control and Herbicide Applications (3 papers). S. A. M. Perryman collaborates with scholars based in United Kingdom, Germany and Denmark. S. A. M. Perryman's co-authors include Dilys Robinson, S. R. Moss, Jonathan West, J. Cussans, Jonathan Storkey, Simon J. Clark, A. J. Macdonald, Bruce D.L. Fitt, K. M. King and M. J. Glendining and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and Agronomy for Sustainable Development.

In The Last Decade

S. A. M. Perryman

25 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
S. A. M. Perryman 337 286 96 88 87 27 863
Colm Fearon 113 0.3× 102 0.4× 32 0.3× 7 0.1× 13 0.1× 45 701
Doug Goodman 316 0.9× 283 1.0× 69 0.7× 30 0.3× 3 0.0× 44 1.0k
J.A.A.M. Verstegen 178 0.5× 55 0.2× 16 0.2× 36 0.4× 24 0.3× 45 1.0k
W. E. Knight 79 0.2× 183 0.6× 14 0.1× 5 0.1× 127 1.5× 67 999
Roy Jacques 328 1.0× 238 0.8× 20 0.2× 3 0.0× 24 0.3× 17 901
Md. Anwarul Islam 64 0.2× 36 0.1× 20 0.2× 9 0.1× 14 0.2× 91 925
Oliver Masakure 57 0.2× 235 0.8× 17 0.2× 10 0.1× 22 0.3× 26 1.0k
Randy Clark 93 0.3× 387 1.4× 9 0.1× 3 0.0× 71 0.8× 16 795
Richard Bawden 38 0.1× 75 0.3× 5 0.1× 23 0.3× 23 0.3× 52 838
James Cunningham 132 0.4× 288 1.0× 12 0.1× 2 0.0× 16 0.2× 39 783

Countries citing papers authored by S. A. M. Perryman

Since Specialization
Citations

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

Fields of papers citing papers by S. A. M. Perryman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. M. Perryman. 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 S. A. M. Perryman. The network helps show where S. A. M. Perryman may publish in the future.

Co-authorship network of co-authors of S. A. M. Perryman

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. M. Perryman. A scholar is included among the top collaborators of S. A. M. Perryman 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 S. A. M. Perryman. S. A. M. Perryman 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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