Mateus Silva

13 papers receiving 68 citations

Peers

Mateus Silva
Comparison fields: 5 of 32
  • Nature and Landscape Conservation 39
  • Ecological Modeling 7
  • Forestry 5
  • Ecology, Evolution, Behavior and Systematics 20
  • Global and Planetary Change 21
Replace Nadia Castro‐Izaguirre with:
Nadia Castro‐Izaguirre Switzerland
José Rafael Lozada Venezuela
Grégory Sonnier United States
Sara Mendes Portugal
Pedro H. A. Sena Brazil
Vivian Almeida Assunção Brazil
Élodie Allié French Guiana
Natália Targhetta Germany
Clara Pladevall Spain
Wesley Jonatar Alves da Cruz Brazil
Mateus Silva relative to Nadia Castro‐Izaguirre Switzerland Nadia Castro‐Izaguirre's profile →
Citations per field
00.5×1.7×
Nadia Castro‐Izaguirre · 1×
Citations per year

Countries citing papers authored by Mateus Silva

Since Specialization
Citations

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

Fields of papers citing papers by Mateus Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202118
2 201917
3 20229
4 20246
5 20215
6 20213
7 20192
8 20212
9 20242
10 20251
11 20241
12 20201
13 20191
14 20250
15 20240
16 20240

About Mateus Silva

Mateus Silva is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Ecology and Forestry, having authored 16 papers that have together received 68 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (6 papers), Plant and animal studies (4 papers), Forest ecology and management (4 papers), Species Distribution and Climate Change (2 papers), Rangeland and Wildlife Management (2 papers), Fire effects on ecosystems (2 papers), Health Policy Implementation Science (1 paper) and Tree-ring climate responses (1 paper). The work is most often cited by research in Nature and Landscape Conservation (39 citations), Ecological Modeling (7 citations), Forestry (5 citations), Ecology, Evolution, Behavior and Systematics (20 citations) and Global and Planetary Change (21 citations). Mateus Silva has collaborated with scholars based in Brazil, United Kingdom and Australia. Frequent co-authors include Eduardo van den Berg, Grazielle Sales Teodoro, Lucy Rowland, Rafael S. Oliveira, Felipe P. L. Melo, André L. Giles, Marcelo Monge, Peter W. Moonlight, Alexandre Bonesso Sampaio and R. Toby Pennington. Their work appears in journals such as Restoration Ecology, Forest Ecology and Management, Australian Journal of Botany, Plant Ecology and Diversity and Distributions.

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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