Bryan C. Carstens

11.7k total citations · 5 hit papers
118 papers, 8.2k citations indexed

About

Bryan C. Carstens is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Bryan C. Carstens has authored 118 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Genetics, 41 papers in Ecology, Evolution, Behavior and Systematics and 38 papers in Ecological Modeling. Recurrent topics in Bryan C. Carstens's work include Genetic diversity and population structure (77 papers), Species Distribution and Climate Change (38 papers) and Genomics and Phylogenetic Studies (28 papers). Bryan C. Carstens is often cited by papers focused on Genetic diversity and population structure (77 papers), Species Distribution and Climate Change (38 papers) and Genomics and Phylogenetic Studies (28 papers). Bryan C. Carstens collaborates with scholars based in United States, Brazil and Switzerland. Bryan C. Carstens's co-authors include L. Lacey Knowles, Noah M. Reid, Jordan D. Satler, Tara A. Pelletier, Sarah M. Hird, Robb T. Brumfield, Jack Sullivan, Amanda J. Zellmer, Laura Kubatko and Ariadna E. Morales and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Bryan C. Carstens

116 papers receiving 8.0k citations

Hit Papers

How to fail at species delimitation 2007 2026 2013 2019 2013 2007 2009 2011 2012 250 500 750

Peers

Bryan C. Carstens
Joseph Heled New Zealand
L. Lacey Knowles United States
Robb T. Brumfield United States
Brent C. Emerson United Kingdom
Adam D. Leaché United States
Emily Moriarty Lemmon United States
Kevin Winker United States
Brett Calcott Australia
Alan R. Lemmon United States
David J. Lohman United States
Joseph Heled New Zealand
Bryan C. Carstens
Citations per year, relative to Bryan C. Carstens Bryan C. Carstens (= 1×) peers Joseph Heled

Countries citing papers authored by Bryan C. Carstens

Since Specialization
Citations

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

Fields of papers citing papers by Bryan C. Carstens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan C. Carstens

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan C. Carstens. A scholar is included among the top collaborators of Bryan C. Carstens 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 Bryan C. Carstens. Bryan C. Carstens 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
1.
Fonseca, Emanuel M., Nathaniel S. Pope, William E. Peterman, et al.. (2024). Genetic structure and landscape effects on gene flow in the Neotropical lizard Norops brasiliensis (Squamata: Dactyloidae). Heredity. 132(6). 284–295.
2.
Wehncke, Elisabet V., Bryan C. Carstens, César A. Domínguez, et al.. (2023). Geographic isolation and long-distance gene flow influence the genetic structure of the blue fan palm Brahea armata (Arecaceae). Journal of Plant Research. 136(3). 277–290. 2 indexed citations
3.
Myers, Edward A., et al.. (2023). Predictors of genomic diversity within North American squamates. Journal of Heredity. 114(2). 131–142. 2 indexed citations
4.
Fonseca, Emanuel M., et al.. (2023). Pleistocene glaciations caused the latitudinal gradient of within-species genetic diversity. Evolution Letters. 7(5). 331–338. 16 indexed citations
5.
Sullivan, Jack, et al.. (2023). Reduced representation approaches produce similar results to whole genome sequencing for some common phylogeographic analyses. PLoS ONE. 18(11). e0291941–e0291941. 4 indexed citations
6.
Smith, Megan L., et al.. (2022). The role of multiple Pleistocene refugia in promoting diversification in the Pacific Northwest. Molecular Ecology. 31(16). 4402–4416. 8 indexed citations
7.
Pelletier, Tara A., et al.. (2022). phylogatR : Phylogeographic data aggregation and repurposing. Molecular Ecology Resources. 22(8). 2830–2842. 11 indexed citations
8.
Carstens, Bryan C., et al.. (2022). Assessing model adequacy leads to more robust phylogeographic inference. Trends in Ecology & Evolution. 37(5). 402–410. 9 indexed citations
9.
Ruffley, Megan, Megan L. Smith, Anahí Espíndola, et al.. (2022). Genomic evidence of an ancient inland temperate rainforest in the Pacific Northwest of North America. Molecular Ecology. 31(10). 2985–3001. 5 indexed citations
10.
Thomé, Maria Tereza C., Bryan C. Carstens, Miguel Tréfaut Rodrigues, João Alexandrino, & Célio F. B. Haddad. (2021). Genomic data from the Brazilian sibilator frog reveal contrasting pleistocene dynamics and regionalism in two South American dry biomes. Journal of Biogeography. 48(5). 1112–1123. 16 indexed citations
11.
Wieringa, Jamin G., Bryan C. Carstens, & H. Lisle Gibbs. (2021). Predicting migration routes for three species of migratory bats using species distribution models. PeerJ. 9. e11177–e11177. 21 indexed citations
12.
Fonseca, Emanuel M., Guarino Rinaldi Colli, Fernanda P. Werneck, & Bryan C. Carstens. (2021). Phylogeographic model selection using convolutional neural networks. Molecular Ecology Resources. 21(8). 2661–2675. 17 indexed citations
13.
Pelletier, Tara A., et al.. (2020). Identifying model violations under the multispecies coalescent model using P2C2M.SNAPP. PeerJ. 8. e8271–e8271. 9 indexed citations
14.
Barrow, Lisa N., et al.. (2020). Predicting amphibian intraspecific diversity with machine learning: Challenges and prospects for integrating traits, geography, and genetic data. Molecular Ecology Resources. 21(8). 2818–2831. 16 indexed citations
15.
Fonseca, Emanuel M., et al.. (2020). P2C2M.GMYC: An R package for assessing the utility of the Generalized Mixed Yule Coalescent model. Methods in Ecology and Evolution. 12(3). 487–493. 13 indexed citations
16.
Sullivan, Jack, Megan L. Smith, Anahí Espíndola, et al.. (2019). Integrating life history traits into predictive phylogeography. Molecular Ecology. 28(8). 2062–2073. 13 indexed citations
17.
Ruffley, Megan, Megan L. Smith, Anahí Espíndola, et al.. (2018). Combining allele frequency and tree‐based approaches improves phylogeographic inference from natural history collections. Molecular Ecology. 27(4). 1012–1024. 8 indexed citations
18.
Carstens, Bryan C., et al.. (2018). A global analysis of bats using automated comparative phylogeography uncovers a surprising impact of Pleistocene glaciation. Journal of Biogeography. 45(8). 1795–1805. 24 indexed citations
19.
Pelletier, Tara A. & Bryan C. Carstens. (2018). Geographical range size and latitude predict population genetic structure in a global survey. Biology Letters. 14(1). 20170566–20170566. 49 indexed citations
20.
Satler, Jordan D. & Bryan C. Carstens. (2017). Do ecological communities disperse across biogeographic barriers as a unit?. Molecular Ecology. 26(13). 3533–3545. 26 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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