Gabriel Conroy

515 citations
30 papers · 256 · h-index 11

Impact in

Papers in

    • Genetic diversity and population structure 13
    • Genetic and phenotypic traits in livestock 5
    • Wildlife Ecology and Conservation 11
    • Avian ecology and behavior 4

Gabriel Conroy

27 papers receiving 249 citations

Peers

Gabriel Conroy
Comparison fields: 5 of 64
  • Ecological Modeling 30
  • Ecology 117
  • Nature and Landscape Conservation 52
  • Genetics 111
  • Virology 13
Replace Janine E. Robinson with:
Janine E. Robinson United Kingdom
Hannes Jenny Switzerland
Paul W. Jansen New Zealand
Egbert Strauß Germany
Fabrice Brescia New Caledonia
Shaun M. Grassel United States
Thomas B. Berg Denmark
Deidre de Villiers Australia
Jennyffer Cruz New Zealand
Liwei Teng China
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Citations per field
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Citations per year

Countries citing papers authored by Gabriel Conroy

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Conroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Conroy. 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 Gabriel Conroy. The network helps show where Gabriel Conroy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201525
3 201617
4 201513
5 201912
6 202212
7 202111
8 201511
9 201910
10 202310
11 202310
12 20176
13 20226
14 20225
15 20185
16 20234
17 20224
18 20233
19 20243
20 20243

About Gabriel Conroy

Gabriel Conroy is a scholar working on Genetics, Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecological Modeling, having authored 30 papers that have together received 256 indexed citations. Recurring topics across this work include Genetic diversity and population structure (13 papers), Wildlife Ecology and Conservation (11 papers), Ecology and Vegetation Dynamics Studies (8 papers), Genetic and phenotypic traits in livestock (5 papers), Species Distribution and Climate Change (4 papers), Plant and animal studies (4 papers), Avian ecology and behavior (4 papers) and Plant Diversity and Evolution (3 papers). The work is most often cited by research in Ecological Modeling (30 citations), Ecology (117 citations), Nature and Landscape Conservation (52 citations), Genetics (111 citations) and Virology (13 citations). Gabriel Conroy has collaborated with scholars based in Australia, South Africa and United Kingdom. Frequent co-authors include Steven M. Ogbourne, Amber Gillett, Alyce Taylor–Brown, Adam Polkinghorne, Angela Wardell–Johnson, Paul Reddell, David S. Schoeman, Alison Shapcott, Michael A. Weston and Grant Wardell‐Johnson. Their work appears in journals such as Conservation Genetics, Global Ecology and Conservation, Australian Journal of Botany, Landscape Ecology and PLoS ONE.

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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