Charlotte Brown

820 citations
22 papers · 374 indexed · 1 hit paper · h-index 10
Topics
Ecology and Vegetation Dynamics Studies (17 papers)Plant and animal studies (12 papers)Rangeland and Wildlife Management (6 papers)
Partner nations
CanadaUnited StatesChile

In The Last Decade

Charlotte Brown

19 papers receiving 370 citations

Hit Papers

The effects of livestock grazing on biodiversity are mult...2020202620222024202050100150

Peers

Charlotte Brown
Comparison fields: 5 of 45
  • Nature and Landscape Conservation 189
  • Ecology 154
  • Ecology, Evolution, Behavior and Systematics 102
  • Global and Planetary Change 79
  • Plant Science 78
Replace Mariana Morais Vidal with:
Mariana Morais Vidal Brazil
Dietmar Simmering Germany
Jeet Ram India
Katalin Szitár Hungary
Katharina Lapin Austria
Françoise Burel France
Simon Chollet France
Adam Kimberley Sweden
Donat Nsabimana Rwanda
Pauline Drobney United States
Charlotte Brown relative to Mariana Morais Vidal Brazil Mariana Morais Vidal's profile →
Citations per field
00.5×1.6×
Mariana Morais Vidal · 1×
Citations per year

Countries citing papers authored by Charlotte Brown

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Brown. A scholar is included among the top collaborators of Charlotte Brown 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 Charlotte Brown. Charlotte Brown 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
1 0
2 0
3 0
4 1
5 2
6 5
7 6
8 1
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10 16
11 11
12 17
13 1
14
The effects of livestock grazing on biodiversity are multi‐trophic: a meta‐analysisbreakdown →
180
15 10
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17 16
18 44
19 17
20 2

About Charlotte Brown

Charlotte Brown is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 374 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (17 papers), Plant and animal studies (12 papers) and Rangeland and Wildlife Management (6 papers). The work is most often cited by research in Nature and Landscape Conservation (189 citations), Ecological Modeling (44 citations) and Ecology (154 citations). Charlotte Brown has collaborated with scholars based in Canada, United States and Chile. Frequent co-authors include James F. Cahill, Alessandro Filazzola, Margarete A Dettlaff, Amgaa Batbaatar, Tan Bao, Jeremy Lundholm, Gisela C. Stotz, Christopher J. Lortie, G. Peter Kershaw and Michael Westphal. Their work appears in journals such as Ecology, Scientific Reports and Ecology Letters.

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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