Alejandro Mateos‐Rivera

561 total citations
15 papers, 442 citations indexed

About

Alejandro Mateos‐Rivera is a scholar working on Nature and Landscape Conservation, Ecology and Genetics. According to data from OpenAlex, Alejandro Mateos‐Rivera has authored 15 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 5 papers in Ecology and 5 papers in Genetics. Recurrent topics in Alejandro Mateos‐Rivera's work include Fish Ecology and Management Studies (4 papers), Ichthyology and Marine Biology (3 papers) and Genetic diversity and population structure (3 papers). Alejandro Mateos‐Rivera is often cited by papers focused on Fish Ecology and Management Studies (4 papers), Ichthyology and Marine Biology (3 papers) and Genetic diversity and population structure (3 papers). Alejandro Mateos‐Rivera collaborates with scholars based in Norway, Denmark and Sweden. Alejandro Mateos‐Rivera's co-authors include Stefan Bertilsson, Erik Björn, Sylvain Bouchet, Julie Tolu, Andrea G. Bravo, Lise Øvreås, B.W. Wilson, Kai Finster, Jacob C. Yde and Laila J. Reigstad and has published in prestigious journals such as Nature Communications, Applied and Environmental Microbiology and FEMS Microbiology Ecology.

In The Last Decade

Alejandro Mateos‐Rivera

13 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Mateos‐Rivera Norway 8 292 168 103 55 37 15 442
Yong‐Rock An South Korea 13 286 1.0× 159 0.9× 93 0.9× 30 0.5× 64 1.7× 37 480
Emanuela Frapiccini Italy 14 265 0.9× 104 0.6× 204 2.0× 20 0.4× 15 0.4× 26 447
Natasha Waller Australia 9 126 0.4× 100 0.6× 225 2.2× 28 0.5× 26 0.7× 11 413
Fernanda Imperatrice Colabuono Brazil 15 352 1.2× 198 1.2× 328 3.2× 14 0.3× 43 1.2× 24 646
Luciano Masiero Italy 12 272 0.9× 92 0.5× 190 1.8× 25 0.5× 22 0.6× 23 452
Cecilia Doriana Tramati Italy 12 272 0.9× 190 1.1× 159 1.5× 22 0.4× 14 0.4× 18 536
Olivier Perceval France 12 539 1.8× 147 0.9× 330 3.2× 22 0.4× 15 0.4× 21 629
Yohsuke Hisamichi Japan 14 469 1.6× 266 1.6× 72 0.7× 17 0.3× 23 0.6× 15 550
Josilene da Silva Brazil 11 197 0.7× 87 0.5× 109 1.1× 9 0.2× 17 0.5× 27 295
Caio V.Z. Cipro Brazil 15 341 1.2× 222 1.3× 88 0.9× 29 0.5× 53 1.4× 18 473

Countries citing papers authored by Alejandro Mateos‐Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Mateos‐Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Mateos‐Rivera

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

All Works

15 of 15 papers shown
1.
Quintela, María, Alejandro Mateos‐Rivera, Roger Lille‐Langøy, et al.. (2026). Genetics in the Ocean's Twilight Zone: Population Structure of the Silvery Lightfish Across Its Distribution Range. Evolutionary Applications. 19(3).
2.
Jorde, Per Erik, Terje van der Meeren, María Quintela, et al.. (2024). Genetic analyses verify sexually mature escaped farmed Atlantic cod and farmed cod eggs in the natural environment. Evolutionary Applications. 17(4). e13688–e13688. 2 indexed citations
3.
Knutsen, Tor, Bjørn A. Krafft, Alejandro Mateos‐Rivera, et al.. (2023). Spatial structuring in early life stage fish diversity in the Scotia Sea region of the Southern Ocean. Polar Biology. 47(1). 85–100.
4.
Skern‐Mauritzen, Rasmus, Frank Nilsen, Alejandro Mateos‐Rivera, et al.. (2023). Aquaculture‐driven evolution of the salmon louse mtDNA genome. Evolutionary Applications. 16(7). 1328–1344. 1 indexed citations
5.
Marshall, Ian P. G., Ε. L. Jones, Jacob C. Yde, et al.. (2022). Microbial iron reduction and greenhouse gas production in response to organic matter amendment and temperature increase of periglacial sediments, Bolterdalen, Svalbard. Arctic Antarctic and Alpine Research. 54(1). 314–334. 1 indexed citations
6.
Quintela, María, Kim Præbel, Н. В. Гордеева, et al.. (2021). Distinct genetic clustering in the weakly differentiated polar cod, Boreogadus saida Lepechin, 1774 from East Siberian Sea to Svalbard. Polar Biology. 44(8). 1711–1724. 9 indexed citations
7.
Mateos‐Rivera, Alejandro, et al.. (2021). Composition and diversity of larval fish in the Indian Ocean using morphological and molecular methods. Marine Biodiversity. 51(2). 11 indexed citations
8.
Mateos‐Rivera, Alejandro, Rasmus Skern‐Mauritzen, Geir Dahle, et al.. (2020). Comparison of visual and molecular taxonomic methods to identify ichthyoplankton in the North Sea. Limnology and Oceanography Methods. 18(10). 599–605. 14 indexed citations
9.
Mateos‐Rivera, Alejandro, et al.. (2019). DNA barcoding confirms the first record of a Desmodema polystictum (Ogilby, 1898) egg and all-time high adult catches in the Indian Ocean. Marine Biodiversity Records. 12(1). 6 indexed citations
10.
Mateos‐Rivera, Alejandro, Tajul Islam, Ian P. G. Marshall, Lars Schreiber, & Lise Øvreås. (2018). High-quality draft genome of the methanotroph Methylovulum psychrotolerans Str. HV10-M2 isolated from plant material at a high-altitude environment. Standards in Genomic Sciences. 13(1). 10–10. 5 indexed citations
11.
Krizsan, S.J., Alejandro Mateos‐Rivera, Stefan Bertilsson, et al.. (2018). An in vitro evaluation of browser and grazer fermentation efficiency and microbiota using European moose spring and summer foods. Ecology and Evolution. 8(8). 4183–4196. 7 indexed citations
12.
Bravo, Andrea G., Sari Peura, Moritz Buck, et al.. (2018). Methanogens and Iron-Reducing Bacteria: the Overlooked Members of Mercury-Methylating Microbial Communities in Boreal Lakes. Applied and Environmental Microbiology. 84(23). 55 indexed citations
13.
Mateos‐Rivera, Alejandro, Lise Øvreås, B.W. Wilson, Jacob C. Yde, & Kai Finster. (2018). Activity and diversity of methane-oxidizing bacteria along a Norwegian sub-Arctic glacier forefield. FEMS Microbiology Ecology. 94(5). 18 indexed citations
14.
Bravo, Andrea G., Sylvain Bouchet, Julie Tolu, et al.. (2017). Molecular composition of organic matter controls methylmercury formation in boreal lakes. Nature Communications. 8(1). 14255–14255. 265 indexed citations
15.
Mateos‐Rivera, Alejandro, Jacob C. Yde, B.W. Wilson, et al.. (2016). The effect of temperature change on the microbial diversity and community structure along the chronosequence of the sub-arctic glacier forefield of Styggedalsbreen (Norway). FEMS Microbiology Ecology. 92(4). fnw038–fnw038. 48 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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