Fábio Schunck

93 total papers · 1.3k total citations
42 papers, 381 citations indexed

About

Fábio Schunck is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Fábio Schunck has authored 42 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 25 papers in Nature and Landscape Conservation and 14 papers in Ecological Modeling. Recurrent topics in Fábio Schunck's work include Ecology and Vegetation Dynamics Studies (17 papers), Avian ecology and behavior (15 papers) and Species Distribution and Climate Change (14 papers). Fábio Schunck is often cited by papers focused on Ecology and Vegetation Dynamics Studies (17 papers), Avian ecology and behavior (15 papers) and Species Distribution and Climate Change (14 papers). Fábio Schunck collaborates with scholars based in Brazil, United States and Spain. Fábio Schunck's co-authors include Luís Fábio Silveira, Luciano N. Naka, Gustavo A. Bravo, Vítor de Queiroz Piacentini, Alexandre Luis Padovan Aleixo, José Fernando Pacheco, Guilherme Renzo Rocha Brito, Fábio Olmos, Sérgio Roberto Posso and Mario Cohn‐Haft and has published in prestigious journals such as SHILAP Revista de lepidopterología, Evolution and Oecologia.

In The Last Decade

Fábio Schunck

38 papers receiving 369 citations

Hit Papers

Annotated checklist of th... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fábio Schunck 192 179 105 98 61 42 381
Giovanni Nachtigall Maurício 245 1.3× 172 1.0× 104 1.0× 86 0.9× 45 0.7× 26 419
Ismael Franz 190 1.0× 117 0.7× 118 1.1× 68 0.7× 35 0.6× 21 361
Christine Dranzoa 259 1.3× 179 1.0× 87 0.8× 50 0.5× 61 1.0× 26 399
Ron J. Moorhouse 320 1.7× 121 0.7× 129 1.2× 48 0.5× 32 0.5× 23 432
María Ángela Echeverry-Gálvis 206 1.1× 119 0.7× 140 1.3× 71 0.7× 27 0.4× 29 351
Dimitri Giunchi 254 1.3× 69 0.4× 92 0.9× 38 0.4× 45 0.7× 62 406
John T. Baccus 310 1.6× 114 0.6× 80 0.8× 94 1.0× 27 0.4× 49 398
Gary A. Heidt 300 1.6× 80 0.4× 115 1.1× 68 0.7× 32 0.5× 61 436
Illar Muul 211 1.1× 83 0.5× 141 1.3× 37 0.4× 56 0.9× 27 375
Yue‐Hua Sun 260 1.4× 101 0.6× 146 1.4× 83 0.8× 21 0.3× 55 338

Countries citing papers authored by Fábio Schunck

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Schunck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Schunck

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Schunck. A scholar is included among the top collaborators of Fábio Schunck 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 Fábio Schunck. Fábio Schunck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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