Fernando Mateos‐González

428 total citations
18 papers, 326 citations indexed

About

Fernando Mateos‐González is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Fernando Mateos‐González has authored 18 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 10 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Nature and Landscape Conservation. Recurrent topics in Fernando Mateos‐González's work include Animal Behavior and Reproduction (10 papers), Avian ecology and behavior (5 papers) and Plant and animal studies (5 papers). Fernando Mateos‐González is often cited by papers focused on Animal Behavior and Reproduction (10 papers), Avian ecology and behavior (5 papers) and Plant and animal studies (5 papers). Fernando Mateos‐González collaborates with scholars based in Sweden, United States and Spain. Fernando Mateos‐González's co-authors include Juan Carlos Señar, Javier Quesada, Mats Björklund, Emilio Pagani‐Núñez, Michael J. Conroy, Thomas D. Clark, Graham D. Raby, Fredrik Jutfelt, Mathieu Giraudeau and Josefin Sundin and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Fernando Mateos‐González

17 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Mateos‐González Sweden 11 187 180 72 47 38 18 326
Martina S. Müller Japan 12 231 1.2× 183 1.0× 39 0.5× 43 0.9× 21 0.6× 21 372
Martin Bulla Germany 11 267 1.4× 259 1.4× 40 0.6× 27 0.6× 101 2.7× 28 382
Christophe Lebigre France 15 263 1.4× 304 1.7× 136 1.9× 83 1.8× 19 0.5× 48 545
Anna Fabiani Italy 11 244 1.3× 134 0.7× 67 0.9× 76 1.6× 35 0.9× 20 383
Daniela Campobello Italy 16 474 2.5× 298 1.7× 57 0.8× 83 1.8× 112 2.9× 31 569
Simon R. Evans United Kingdom 10 269 1.4× 230 1.3× 57 0.8× 42 0.9× 12 0.3× 13 455
Sarah A. MacLean United States 7 208 1.1× 119 0.7× 66 0.9× 176 3.7× 24 0.6× 9 349
Timothy C. Sparkes United States 10 278 1.5× 204 1.1× 78 1.1× 96 2.0× 10 0.3× 27 427
David W. DesRochers United States 9 330 1.8× 201 1.1× 70 1.0× 60 1.3× 10 0.3× 12 444
Terézia Horváthová Poland 10 195 1.0× 189 1.1× 107 1.5× 30 0.6× 10 0.3× 16 370

Countries citing papers authored by Fernando Mateos‐González

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Mateos‐González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Mateos‐González. 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 Fernando Mateos‐González. The network helps show where Fernando Mateos‐González may publish in the future.

Co-authorship network of co-authors of Fernando Mateos‐González

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

All Works

18 of 18 papers shown
1.
2.
Mateos‐González, Fernando, et al.. (2023). European ground squirrels in backyard gardens: Identifying and mitigating agricultural conflicts with an endangered species. Animal Biodiversity and Conservation. 139–145. 2 indexed citations
3.
Audzijonytė, Asta, Fernando Mateos‐González, Justas Dainys, et al.. (2023). High-resolution app data reveal sustained increases in recreational fishing effort in Europe during and after COVID-19 lockdowns. Royal Society Open Science. 10(7). 230408–230408. 10 indexed citations
4.
Sundin, Josefin, Joacim Näslund, Fernando Mateos‐González, W. Ashworth, & Mirjam Amcoff. (2023). Males show their best side revisited – Effects of predation pressure on laterality in wild guppies. Ethology. 129(8). 390–405. 1 indexed citations
5.
Dainys, Justas, et al.. (2022). Angling counts: Harnessing the power of technological advances for recreational fishing surveys. Fisheries Research. 254. 106410–106410. 14 indexed citations
6.
Sundin, Josefin, Mirjam Amcoff, Fernando Mateos‐González, Graham D. Raby, & Thomas D. Clark. (2019). Long-term acclimation to near-future ocean acidification has negligible effects on energetic attributes in a juvenile coral reef fish. Oecologia. 190(3). 689–702. 10 indexed citations
7.
Møller, Anders Pape & Fernando Mateos‐González. (2018). Plumage brightness and uropygial gland secretions in barn swallows. Current Zoology. 65(2). 177–182. 4 indexed citations
8.
Sundin, Josefin, Mirjam Amcoff, Fernando Mateos‐González, et al.. (2017). Long-term exposure to elevated carbon dioxide does not alter activity levels of a coral reef fish in response to predator chemical cues. Behavioral Ecology and Sociobiology. 71(8). 108–108. 24 indexed citations
9.
Pagani‐Núñez, Emilio, et al.. (2016). The diet of great tit nestlings: Comparing observation records and stable isotope analyses. Basic and Applied Ecology. 18. 57–66. 27 indexed citations
10.
Björklund, Mats, et al.. (2016). Personality and urbanization: behavioural traits and DRD4 SNP830 polymorphisms in great tits in Barcelona city. Journal of Ethology. 35(1). 101–108. 42 indexed citations
11.
Giraudeau, Mathieu, et al.. (2015). Metal exposure influences the melanin and carotenoid-based colorations in great tits. The Science of The Total Environment. 532. 512–516. 34 indexed citations
12.
Mateos‐González, Fernando, et al.. (2015). Rapid Evolution of Parasite Resistance in a Warmer Environment: Insights from a Large Scale Field Experiment. PLoS ONE. 10(6). e0128860–e0128860. 10 indexed citations
13.
Mateos‐González, Fernando, et al.. (2015). Warming alters the body shape of European perch Perca fluviatilis. Journal of Fish Biology. 87(5). 1234–1247. 11 indexed citations
14.
Señar, Juan Carlos, Michael J. Conroy, Javier Quesada, & Fernando Mateos‐González. (2014). Selection based on the size of the black tie of the great tit may be reversed in urban habitats. Ecology and Evolution. 4(13). 2625–2632. 38 indexed citations
15.
Mateos‐González, Fernando, Geoffrey E. Hill, & Wendy R. Hood. (2014). Carotenoid coloration predicts escape performance in the House Finch (Haemorhous mexicanus). The Auk. 131(3). 275–281. 4 indexed citations
16.
Señar, Juan Carlos, et al.. (2013). Familiarity adds to attractiveness in matters of siskin mate choice. Proceedings of the Royal Society B Biological Sciences. 280(1773). 20132361–20132361. 17 indexed citations
17.
Mateos‐González, Fernando & Juan Carlos Señar. (2011). Melanin-based trait predicts individual exploratory behaviour in siskins, Carduelis spinus. Animal Behaviour. 83(1). 229–232. 39 indexed citations
18.
Mateos‐González, Fernando, Javier Quesada, & Juan Carlos Señar. (2011). Sexy birds are superior at solving a foraging problem. Biology Letters. 7(5). 668–669. 39 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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