Aelys M. Humphreys

34 papers receiving 1.3k citations

Hit Papers

Global dataset shows geography and life form predict mode...2019202620212023201950100150200250

Peers

Aelys M. Humphreys
Comparison fields: 5 of 69
  • Ecology, Evolution, Behavior and Systematics 816
  • Plant Science 428
  • Nature and Landscape Conservation 422
  • Molecular Biology 334
  • Genetics 253
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Katia Diadema France
Renske E. Onstein Germany
Florian C. Boucher France
Alexander N. Schmidt‐Lebuhn Australia
Alexandre K. Monro United Kingdom
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Alan Tye Ecuador
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Countries citing papers authored by Aelys M. Humphreys

Since Specialization
Citations

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

Fields of papers citing papers by Aelys M. Humphreys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aelys M. Humphreys

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
3 1
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5 4
6 19
7 4
8 2
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10 18
11 18
12 136
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Global dataset shows geography and life form predict modern plant extinction and rediscoverybreakdown →
255
14 40
15 25
16 34
17
A classification of the Danthonioideae (Poaceae)
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18 9
19 63
20
Optimization of cultural conditions for the production and longevity of entomopathogenic fungi.
4

About Aelys M. Humphreys

Aelys M. Humphreys is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (17 papers), Plant Taxonomy and Phylogenetics (12 papers) and Plant and animal studies (11 papers). The work is most often cited by research in Ecological Modeling (232 citations), Ecology, Evolution, Behavior and Systematics (816 citations) and Nature and Landscape Conservation (422 citations). Aelys M. Humphreys has collaborated with scholars based in Sweden, United Kingdom and Switzerland. Frequent co-authors include Timothy G. Barraclough, H. Peter Linder, Lesley T. Lancaster, Maria S. Vorontsova, Rafaël Govaerts, Eimear Nic Lughadha, Michael D. Pirie, Diego Fontaneto, H. P. Linder and Cuong Q. Tang. Their work appears in journals such as Proceedings of the National Academy of Sciences, New Phytologist and Evolution.

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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