Mario Álvarez‐Cabria

946 total citations
17 papers, 436 citations indexed

About

Mario Álvarez‐Cabria is a scholar working on Ecology, Nature and Landscape Conservation and Water Science and Technology. According to data from OpenAlex, Mario Álvarez‐Cabria has authored 17 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 12 papers in Nature and Landscape Conservation and 4 papers in Water Science and Technology. Recurrent topics in Mario Álvarez‐Cabria's work include Fish Ecology and Management Studies (12 papers), Freshwater macroinvertebrate diversity and ecology (11 papers) and Aquatic Invertebrate Ecology and Behavior (7 papers). Mario Álvarez‐Cabria is often cited by papers focused on Fish Ecology and Management Studies (12 papers), Freshwater macroinvertebrate diversity and ecology (11 papers) and Aquatic Invertebrate Ecology and Behavior (7 papers). Mario Álvarez‐Cabria collaborates with scholars based in Spain, Portugal and United Kingdom. Mario Álvarez‐Cabria's co-authors include José Barquín, Francisco J. Peñas, José A. Juanes, Diego Fernández, Alexia María González-Ferreras, César Álvarez, Javier Alba‐Tercedor, Alfried P. Vogler, Samantha Jane Hughes and Majida El Alami and has published in prestigious journals such as The Science of The Total Environment, Water Research and Molecular Ecology.

In The Last Decade

Mario Álvarez‐Cabria

17 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Álvarez‐Cabria Spain 12 268 198 168 77 60 17 436
Alisha Steward Australia 9 334 1.2× 206 1.0× 144 0.9× 81 1.1× 78 1.3× 11 437
Jussi Jyväsjärvi Finland 15 362 1.4× 150 0.8× 98 0.6× 136 1.8× 54 0.9× 34 485
Evan Harrison Australia 10 190 0.7× 158 0.8× 142 0.8× 41 0.5× 92 1.5× 14 371
Joana Rosado Portugal 6 291 1.1× 169 0.9× 158 0.9× 68 0.9× 60 1.0× 8 397
Charles A. Rewa United States 11 229 0.9× 140 0.7× 174 1.0× 171 2.2× 120 2.0× 18 477
George T. Merovich United States 10 336 1.3× 134 0.7× 57 0.3× 99 1.3× 78 1.3× 15 427
Robert J. Brederveld Netherlands 8 178 0.7× 125 0.6× 88 0.5× 173 2.2× 58 1.0× 9 370
Francisco J. Peñas Spain 14 265 1.0× 214 1.1× 303 1.8× 82 1.1× 125 2.1× 38 532
Eric R. Merriam United States 11 169 0.6× 140 0.7× 101 0.6× 65 0.8× 78 1.3× 20 311
Shannon Hubler United States 5 176 0.7× 146 0.7× 143 0.9× 179 2.3× 66 1.1× 8 376

Countries citing papers authored by Mario Álvarez‐Cabria

Since Specialization
Citations

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

Fields of papers citing papers by Mario Álvarez‐Cabria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Álvarez‐Cabria. 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 Mario Álvarez‐Cabria. The network helps show where Mario Álvarez‐Cabria may publish in the future.

Co-authorship network of co-authors of Mario Álvarez‐Cabria

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

All Works

17 of 17 papers shown
1.
Peñas, Francisco J., et al.. (2022). Assessing the effects of irrigation and hydropower dams on river communities using taxonomic and multiple trait-based approaches. Ecological Indicators. 145. 109662–109662. 13 indexed citations
2.
Peñas, Francisco J., Mario Álvarez‐Cabria, M. Pilar Mata, et al.. (2022). An evaluation of freshwater monitoring programs in ILTER nodes and mountain national parks: identifying key variables to monitor global change effects. Biodiversity and Conservation. 32(1). 65–94. 2 indexed citations
3.
Álvarez‐Martínez, José Manuel, et al.. (2019). Catchment land cover influences macroinvertebrate food‐web structure and energy flow pathways in mountain streams. Freshwater Biology. 64(9). 1557–1571. 11 indexed citations
4.
Belmar, Óscar, D. J. Booker, Mario Álvarez‐Cabria, Francisco J. Peñas, & José Barquín. (2019). Modelling physical characteristics of river habitats. River Research and Applications. 35(7). 804–817. 3 indexed citations
5.
Múrria, Cesc, Núria Bonada‬‬‬‬‬‬‬‬‬‬‬, Mark Vellend, et al.. (2017). Local environment rather than past climate determines community composition of mountain stream macroinvertebrates across Europe. Molecular Ecology. 26(21). 6085–6099. 40 indexed citations
6.
Barquín, José, et al.. (2017). Effects of sewage effluents and seasonal changes on the metabolism of three Atlantic rivers. The Science of The Total Environment. 599-600. 1108–1118. 12 indexed citations
7.
Álvarez‐Cabria, Mario, Alexia María González-Ferreras, Francisco J. Peñas, & José Barquín. (2016). Modelling macroinvertebrate and fish biotic indices: From reaches to entire river networks. The Science of The Total Environment. 577. 308–318. 29 indexed citations
8.
Álvarez‐Cabria, Mario, et al.. (2016). Analysis of structural and functional indicators for assessing the health state of mountain streams. Ecological Indicators. 72. 553–564. 16 indexed citations
9.
Álvarez‐Cabria, Mario, José Barquín, & Francisco J. Peñas. (2015). Modelling the spatial and seasonal variability of water quality for entire river networks: Relationships with natural and anthropogenic factors. The Science of The Total Environment. 545-546. 152–162. 109 indexed citations
10.
Fernández, Diego, José Barquín, Mario Álvarez‐Cabria, & Francisco J. Peñas. (2014). Land-use coverage as an indicator of riparian quality. Ecological Indicators. 41. 165–174. 30 indexed citations
11.
Peñas, Francisco J., José A. Juanes, Mario Álvarez‐Cabria, et al.. (2013). Integration of hydrological and habitat simulation methods to define minimum environmental flows at the basin scale. Water and Environment Journal. 28(2). 252–260. 9 indexed citations
12.
13.
Cortes, Rui, Simone Varandas, Amílcar Teixeira, et al.. (2011). Effects of landscape metrics and land-use variables on macroinvertebrate communities and habitat characteristics. Limnetica. 30(2). 347–362. 20 indexed citations
14.
Barquín, José, Diego Fernández, Mario Álvarez‐Cabria, & Francisco J. Peñas. (2011). Riparian quality and habitat heterogeneity assessment in Cantabrian rivers. Limnetica. 30(2). 329–346. 23 indexed citations
15.
Álvarez‐Cabria, Mario, José Barquín, & José A. Juanes. (2010). Microdistribution patterns of macroinvertebrate communities upstream and downstream of organic effluents. Water Research. 45(3). 1501–1511. 30 indexed citations
16.
Álvarez‐Cabria, Mario, José Barquín, & José A. Juanes. (2010). Macroinvertebrate community dynamics in a temperate European Atlantic river. Do they conform to general ecological theory?. Hydrobiologia. 658(1). 277–291. 18 indexed citations
17.
Álvarez‐Cabria, Mario, José Barquín, & José A. Juanes. (2009). Spatial and seasonal variability of macroinvertebrate metrics: Do macroinvertebrate communities track river health?. Ecological Indicators. 10(2). 370–379. 65 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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