Andrés M. Cuervo

3.1k total citations · 1 hit paper
59 papers, 1.6k citations indexed

About

Andrés M. Cuervo is a scholar working on Ecology, Genetics and Ecological Modeling. According to data from OpenAlex, Andrés M. Cuervo has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 25 papers in Genetics and 22 papers in Ecological Modeling. Recurrent topics in Andrés M. Cuervo's work include Species Distribution and Climate Change (22 papers), Genetic diversity and population structure (22 papers) and Avian ecology and behavior (14 papers). Andrés M. Cuervo is often cited by papers focused on Species Distribution and Climate Change (22 papers), Genetic diversity and population structure (22 papers) and Avian ecology and behavior (14 papers). Andrés M. Cuervo collaborates with scholars based in United States, Colombia and Venezuela. Andrés M. Cuervo's co-authors include Carlos Daniel Cadena, Robb T. Brumfield, Jorge L. Pérez‐Emán, Michael Harvey, Brian Tilston Smith, Elizabeth P. Derryberry, Alexandre Luis Padovan Aleixo, John E. McCormack, Brant C. Faircloth and Michael J. Hickerson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Andrés M. Cuervo

58 papers receiving 1.5k citations

Hit Papers

The drivers of tropical speciation 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrés M. Cuervo United States 20 761 559 506 457 446 59 1.6k
W. Bryan Jennings United States 16 805 1.1× 497 0.9× 442 0.9× 388 0.8× 268 0.6× 35 1.7k
Peter A. Hosner United States 21 786 1.0× 480 0.9× 558 1.1× 401 0.9× 334 0.7× 65 1.7k
Dieter Thomas Tietze Germany 21 520 0.7× 412 0.7× 484 1.0× 327 0.7× 317 0.7× 45 1.2k
Árpád S. Nyári United States 16 656 0.9× 341 0.6× 463 0.9× 317 0.7× 669 1.5× 34 1.2k
Leonora Pires Costa Brazil 21 554 0.7× 757 1.4× 999 2.0× 497 1.1× 371 0.8× 51 2.1k
Octavio Rojas‐Soto Mexico 23 321 0.4× 541 1.0× 775 1.5× 594 1.3× 909 2.0× 113 1.7k
Ella Vázquez‐Domínguez Mexico 24 707 0.9× 402 0.7× 928 1.8× 399 0.9× 409 0.9× 102 1.8k
William T. Stanley United States 23 447 0.6× 728 1.3× 908 1.8× 291 0.6× 456 1.0× 68 1.8k
Madhava Meegaskumbura Sri Lanka 18 509 0.7× 377 0.7× 293 0.6× 352 0.8× 351 0.8× 80 1.4k
Haw Chuan Lim United States 20 478 0.6× 346 0.6× 561 1.1× 238 0.5× 203 0.5× 43 1.2k

Countries citing papers authored by Andrés M. Cuervo

Since Specialization
Citations

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

Fields of papers citing papers by Andrés M. Cuervo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrés M. Cuervo. 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 Andrés M. Cuervo. The network helps show where Andrés M. Cuervo may publish in the future.

Co-authorship network of co-authors of Andrés M. Cuervo

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés M. Cuervo. A scholar is included among the top collaborators of Andrés M. Cuervo 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 Andrés M. Cuervo. Andrés M. Cuervo 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
2.
González, Angie D., M. Andreína Pacheco, Ananías A. Escalante, et al.. (2023). Haemosporidians in Non-Passerine Birds of Colombia: An Overview of the Last 20 Years of Research. Diversity. 15(1). 57–57. 8 indexed citations
6.
Cuervo, Andrés M., et al.. (2021). On-site experience of a project to increase access to diagnosis and treatment of Chagas disease in high-risk endemic areas of Colombia. Acta Tropica. 226. 106219–106219. 5 indexed citations
7.
Gómez, Camila, Carlos Daniel Cadena, Andrés M. Cuervo, et al.. (2021). Reexpedición Colombia: Entender el pasado para empoderar acciones que fortalezcan el conocimiento y conservación de las aves. Biota Colombiana. 23(1). e984–e984. 3 indexed citations
9.
Cadena, Carlos Daniel, Andrés M. Cuervo, Gustavo A. Bravo, et al.. (2020). Systematics, biogeography, and diversification of Scytalopus tapaculos (Rhinocryptidae), an enigmatic radiation of Neotropical montane birds. The Auk. 137(2). 35 indexed citations
10.
Cuervo, Andrés M., et al.. (2020). Investigating the utility of traditional and genomic multi-locus datasets to resolve relationships in Lipaugus and Tijuca (Cotingidae). Molecular Phylogenetics and Evolution. 147. 106779–106779. 2 indexed citations
11.
Martinez, David R., et al.. (2020). Identification of Aedes (Diptera: Culicidae) Species and Arboviruses Circulating in Arauca, Eastern Colombia. Frontiers in Ecology and Evolution. 8. 11 indexed citations
12.
Cadena, Carlos Daniel, et al.. (2018). Extreme genetic structure and dynamic range evolution in a montane passerine bird: implications for tropical diversification. Biological Journal of the Linnean Society. 126(3). 487–506. 18 indexed citations
13.
Harvey, Michael, Glenn F. Seeholzer, Brian Tilston Smith, et al.. (2017). Positive association between population genetic differentiation and speciation rates in New World birds. Proceedings of the National Academy of Sciences. 114(24). 6328–6333. 79 indexed citations
14.
Carneiro, Lincoln Silva, et al.. (2017). Molecular systematics and biogeography of lowland antpittas (Aves, Grallariidae): The role of vicariance and dispersal in the diversification of a widespread Neotropical lineage. Molecular Phylogenetics and Evolution. 120. 375–389. 22 indexed citations
15.
Smith, Brian Tilston, John E. McCormack, Andrés M. Cuervo, et al.. (2014). The drivers of tropical speciation. Nature. 515(7527). 406–409. 441 indexed citations breakdown →
16.
Cuervo, Andrés M., F. Gary Stiles, Miguel Lentino, Robb T. Brumfield, & Elizabeth P. Derryberry. (2014). Geographic variation and phylogenetic relationships of Myiopagis olallai (Aves: Passeriformes; Tyrannidae), with the description of two new taxa from the Northern Andes. Zootaxa. 3873(1). 1–24. 5 indexed citations
17.
Robbins, Mark B., et al.. (2013). Abra Maruncunca, dpto. Puno, Peru, revisited: vegetation cover and avifauna changes over a 30-year period. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
18.
Cuervo, Andrés M., et al.. (2012). A new species of wren (Troglodytidae:Thryophilus) from the dry Cauca River Canyon, northwestern Colombia. The Auk. 129(3). 537–550. 26 indexed citations
19.
Cadena, Carlos Daniel, Andrés M. Cuervo, & Scott M. Lanyon. (2004). PHYLOGENETIC RELATIONSHIPS OF THE RED-BELLIED GRACKLE (ICTERIDAE: HYPOPYRRHUS PYROHYPOGASTER) INFERRED FROM MITOCHONDRIAL DNA SEQUENCE DATA. Ornithological Applications. 106(3). 664–664. 7 indexed citations
20.
Cadena, Carlos Daniel, Andrés M. Cuervo, & Scott M. Lanyon. (2004). Phylogenetic Relationships of the Red-Bellied Grackle (Icteridae: Hypopyrrhus Pyrohypogaster) Inferred From Mitochondrial DNA Sequence Data. Ornithological Applications. 106(3). 664–670. 6 indexed citations

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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