Gemma E. Beatty

28 papers receiving 759 citations

Peers

Gemma E. Beatty
Comparison fields: 5 of 58
  • Ecological Modeling 101
  • Oceanography 187
  • Ecology, Evolution, Behavior and Systematics 232
  • Nature and Landscape Conservation 136
  • Genetics 282
Replace Fabiano Salgueiro with:
Fabiano Salgueiro Brazil
Marina Rafajlović Sweden
Didier Forcioli France
Bruno Nevado United Kingdom
Josie Lambourdière France
Josephine R. Paris United Kingdom
José Cerca Norway
Jørn Henrik Sønstebø Norway
Cuong Q. Tang United Kingdom
Zara Afzal‐Rafii United States
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Citations per year

Countries citing papers authored by Gemma E. Beatty

Since Specialization
Citations

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

Fields of papers citing papers by Gemma E. Beatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma E. Beatty. 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 Gemma E. Beatty. The network helps show where Gemma E. Beatty may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200791
2 200770
3 201069
4 200859
5 200855
6 200941
7 201840
8 201237
9 201137
10 201130
11 201429
12 201422
13 201622
14 201120
15 201518
16 201215
17 201415
18 200715
19 201815
20 201514

About Gemma E. Beatty

Gemma E. Beatty is a scholar working on Ecology, Genetics, Nature and Landscape Conservation, Plant Science and Oceanography, having authored 29 papers that have together received 785 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Ecology and Vegetation Dynamics Studies (7 papers), Marine Biology and Ecology Research (5 papers), Species Distribution and Climate Change (5 papers), Plant and animal studies (5 papers), Geology and Paleoclimatology Research (4 papers), Marine and coastal plant biology (4 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Ecological Modeling (101 citations), Oceanography (187 citations), Ecology, Evolution, Behavior and Systematics (232 citations), Nature and Landscape Conservation (136 citations) and Genetics (282 citations). Gemma E. Beatty has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Jim Provan, Christine A. Maggs, Graham Savidge, David J. Booth, W. Ian Montgomery, Marianne Philipp, Sarah Preston, David G. Tosh, Robbie A. McDonald and Emma McLaughlin. Their work appears in journals such as Tree Genetics & Genomes, Diversity and Distributions, Annals of Botany, Journal of Biogeography and Biological Journal of the Linnean Society.

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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