Mónica C. Silva

902 citations
36 papers · 579 indexed · h-index 15
Topics
Avian ecology and behavior (11 papers)Identification and Quantification in Food (7 papers)Genetic diversity and population structure (6 papers)

In The Last Decade

Mónica C. Silva

35 papers receiving 543 citations

Peers

Mónica C. Silva
Comparison fields: 5 of 68
  • Ecology 384
  • Ecology, Evolution, Behavior and Systematics 146
  • Global and Planetary Change 99
  • Nature and Landscape Conservation 91
  • Molecular Biology 88
Replace Melissa L. Evans with:
Melissa L. Evans Canada
Subramanya Shravan Kumar India
Daniel Afik Israel
Renata Durães United States
Todd J. Underwood Canada
Insa Cassens Argentina
Marina Anciães Brazil
Charles T. Collins United States
Ismael Franz Brazil
Mercedes Molina‐Morales Spain
Mónica C. Silva relative to Melissa L. Evans Canada Melissa L. Evans's profile →
Citations per field
00.5×1.5×2.3×
Melissa L. Evans · 1×
Citations per year

Countries citing papers authored by Mónica C. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Mónica C. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica C. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica C. Silva. A scholar is included among the top collaborators of Mónica C. Silva 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 Mónica C. Silva. Mónica C. Silva 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
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8 16
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13 16
14 10
15 14
16 27
17 2
18 9
19 51
20 135

About Mónica C. Silva

Mónica C. Silva is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling, having authored 36 papers that have together received 579 indexed citations. Recurring topics across this work include Avian ecology and behavior (11 papers), Identification and Quantification in Food (7 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Ecology (384 citations), Developmental Biology (25 citations) and Ecological Modeling (42 citations). Mónica C. Silva has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include José P. Granadeiro, Robert W. Furness, Maria M. Coelho, Ian J. Strange, Paulo Catry, Mladen Koljatic, Scott V. Edwards, Ana Regina Nascimento Campos, Mark Bolton and P. Dee Boersma. Their work appears in journals such as The Science of The Total Environment, Current Biology 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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