Maria Margarida Ribeiro

862 citations
45 papers · 670 indexed · h-index 16

Maria Margarida Ribeiro

37 papers receiving 642 citations

Peers

Maria Margarida Ribeiro
Comparison fields: 5 of 78
  • Ecological Modeling 96
  • Nature and Landscape Conservation 161
  • Genetics 222
  • Ecology, Evolution, Behavior and Systematics 146
  • Plant Science 245
Replace Yi‐Gang Song with:
Yi‐Gang Song China
Brendan J. Lepschi Australia
Ya‐Huang Luo China
Mailyn González Colombia
Mónica Moura Portugal
P. Zhelev Bulgaria
Julien Engel France
Kentaro Uchiyama Japan
José Pires de Lemos Filho Brazil
Kristine Vander Mijnsbrugge Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Maria Margarida Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Maria Margarida Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Margarida Ribeiro. 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 Maria Margarida Ribeiro. The network helps show where Maria Margarida Ribeiro may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20240
5 20235
6 20233
7 20233
8 202231
9 202111
10 20218
11 202118
12 201927
13 201810
14 201823
15 201715
16
PLEUROTUS SPP. CULTIVATION ON WHEAT STRAW
20100
17 200816
18 2007119
19 200159
20
Ensayo de enraizamiento de estaquillas del alcornoque (Quercus suber L.)
19930

About Maria Margarida Ribeiro

Maria Margarida Ribeiro is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Plant Science, having authored 45 papers that have together received 670 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (12 papers), Genetic diversity and population structure (11 papers), Forest Insect Ecology and Management (9 papers), Ecology and Vegetation Dynamics Studies (9 papers), Plant and animal studies (6 papers), Botany, Ecology, and Taxonomy Studies (6 papers), Botanical Research and Applications (6 papers) and Yeasts and Rust Fungi Studies (5 papers). The work is most often cited by research in Ecological Modeling (96 citations), Nature and Landscape Conservation (161 citations) and Genetics (222 citations). Maria Margarida Ribeiro has collaborated with scholars based in Portugal, Spain and France. Frequent co-authors include Christophe Plomion, Giovanni G. Vendramin, Alfred E. Szmidt, Santiago C. González‐Martínez, Ricardo Alı́a, Federico Sebastiani, Grégoire Le Provost, Gabriele Bucci, Antoine Kremer and Rémy J. Petit. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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