Eva De Mas

586 total citations
20 papers, 429 citations indexed

About

Eva De Mas is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Eva De Mas has authored 20 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Genetics and 4 papers in Nature and Landscape Conservation. Recurrent topics in Eva De Mas's work include Animal Behavior and Reproduction (7 papers), Spider Taxonomy and Behavior Studies (6 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Eva De Mas is often cited by papers focused on Animal Behavior and Reproduction (7 papers), Spider Taxonomy and Behavior Studies (6 papers) and Insect and Arachnid Ecology and Behavior (4 papers). Eva De Mas collaborates with scholars based in Spain, Portugal and United States. Eva De Mas's co-authors include Jordi Moya‐Laraño, Miguel A. Rodrı́guez-Gironés, Carles Ribera, Guadalupe Corcobado, David H. Wise, Ana L. Llandrés, Jesús Benzal, Andrés Barbosa, Eulalia Moreno and Dejan Vinković and has published in prestigious journals such as PLoS ONE, Journal of Animal Ecology and Oikos.

In The Last Decade

Eva De Mas

18 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva De Mas Spain 13 224 193 128 84 68 20 429
Lindsay S. Miles United States 11 218 1.0× 213 1.1× 172 1.3× 129 1.5× 73 1.1× 20 493
François Mallard France 12 214 1.0× 318 1.6× 195 1.5× 53 0.6× 53 0.8× 19 587
Ann‐Marie Waldvogel Germany 10 98 0.4× 199 1.0× 163 1.3× 44 0.5× 53 0.8× 24 445
Darrell Ubick United States 11 287 1.3× 425 2.2× 107 0.8× 90 1.1× 81 1.2× 41 619
Masahiro Kon Japan 13 270 1.2× 144 0.7× 141 1.1× 39 0.5× 110 1.6× 61 461
Inbar Maayan United States 9 138 0.6× 234 1.2× 169 1.3× 133 1.6× 65 1.0× 11 668
Janne Swaegers Belgium 10 137 0.6× 155 0.8× 163 1.3× 41 0.5× 85 1.3× 22 394
Claire Gely Australia 3 172 0.8× 77 0.4× 118 0.9× 60 0.7× 99 1.5× 4 395
Julian E. Beaman Australia 8 202 0.9× 110 0.6× 310 2.4× 76 0.9× 87 1.3× 20 479
Heather J. Alexander Canada 7 171 0.8× 202 1.0× 154 1.2× 70 0.8× 119 1.8× 9 415

Countries citing papers authored by Eva De Mas

Since Specialization
Citations

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

Fields of papers citing papers by Eva De Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva De Mas. 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 Eva De Mas. The network helps show where Eva De Mas may publish in the future.

Co-authorship network of co-authors of Eva De Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Eva De Mas. A scholar is included among the top collaborators of Eva De Mas 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 Eva De Mas. Eva De Mas 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.
2.
Henriques, Jorge F., et al.. (2021). The sources of variation for individual prey-to-predator size ratios. Heredity. 126(4). 684–694. 7 indexed citations
3.
Mas, Eva De, et al.. (2019). Field exclusion of large soil predators impacts lower trophic levels and decreases leaf‐litter decomposition in dry forests. Journal of Animal Ecology. 89(2). 334–346. 30 indexed citations
4.
Cotes, Belén, M. González, Emilio Benítez, et al.. (2018). Spider Communities and Biological Control in Native Habitats Surrounding Greenhouses. Insects. 9(1). 33–33. 30 indexed citations
5.
Crespo, Luís C, Jagoba Malumbres‐Olarte, Pedro Cardoso, et al.. (2018). A DNA barcode-assisted annotated checklist of the spider (Arachnida, Araneae) communities associated to white oak woodlands in Spanish National Parks. Biodiversity Data Journal. 6(6). e29443–e29443. 24 indexed citations
6.
Crespo, Luís C, Jagoba Malumbres‐Olarte, Pedro Cardoso, et al.. (2018). Ceratinella scabrosa O. Pickard-Cambridge 1871. 1 indexed citations
7.
Kralj‐Fišer, Simona, et al.. (2016). Feeding regime, adult age and sexual size dimorphism as determinants of pre-copulatory sexual cannibalism in virgin wolf spiders. Behavioral Ecology and Sociobiology. 71(1). 19 indexed citations
8.
Ribera, Carles & Eva De Mas. (2015). Description of three new troglobiontic species of Cybaeodes (Araneae, Liocranidae) endemic to the Iberian Peninsula. Zootaxa. 3957(3). 313–23. 6 indexed citations
9.
Mas, Eva De, Jesús Benzal, Santiago Merino, et al.. (2015). Erythrocytic abnormalities in three Antarctic penguin species along the Antarctic Peninsula: biomonitoring of genomic damage. Polar Biology. 38(7). 1067–1074. 23 indexed citations
10.
Santos, Xavier, Eduardo Mateos, Vicenç Bros, et al.. (2014). Is Response to Fire Influenced by Dietary Specialization and Mobility? A Comparative Study with Multiple Animal Assemblages. PLoS ONE. 9(2). e88224–e88224. 45 indexed citations
11.
Barbosa, Andrés, Eva De Mas, Jesús Benzal, et al.. (2013). Pollution and physiological variability in gentoo penguins at two rookeries with different levels of human visitation. Antarctic Science. 25(2). 329–338. 53 indexed citations
12.
Llandrés, Ana L., Eva De Mas, & Miguel A. Rodrı́guez-Gironés. (2011). Response of pollinators to the tradeoff between resource acquisition and predator avoidance. Oikos. 121(5). 687–696. 24 indexed citations
13.
Corcobado, Guadalupe, Miguel A. Rodrı́guez-Gironés, Eva De Mas, & Jordi Moya‐Laraño. (2010). Introducing the refined gravity hypothesis of extreme sexual size dimorphism. BMC Evolutionary Biology. 10(1). 236–236. 36 indexed citations
14.
Mas, Eva De, Carles Ribera, & Jordi Moya‐Laraño. (2009). Resurrecting the differential mortality model of sexual size dimorphism. Journal of Evolutionary Biology. 22(8). 1739–1749. 20 indexed citations
15.
Mas, Eva De, Guillem Chust, Joan Lluís Pretus, & Carles Ribera. (2009). Spatial modelling of spider biodiversity: matters of scale. Biodiversity and Conservation. 18(7). 1945–1962. 21 indexed citations
16.
Moya‐Laraño, Jordi, Dejan Vinković, Eva De Mas, Guadalupe Corcobado, & Eulalia Moreno. (2008). Morphological Evolution of Spiders Predicted by Pendulum Mechanics. PLoS ONE. 3(3). e1841–e1841. 37 indexed citations
17.
Rodrı́guez-Gironés, Miguel A., et al.. (2008). Sexual Cannibalism: High Incidence in a Natural Population with Benefits to Females. PLoS ONE. 3(10). e3484–e3484. 40 indexed citations
18.
Mas, Eva De. (2007). Evaluacion y prediccion de la biodiversidad. Un modelo con araneidos en el parque natural del cadi-moixero. Dialnet (Universidad de la Rioja). 1 indexed citations
19.
Miralles, J. A., Eva De Mas, & Carles Ribera. (2006). Pseudoescorpiones del Parque Natural del Cadí-Moixeró (Pirineo Catalán): estudio ecológico, faunístico y taxonómico (Arachnida: Pseudoscorpiones). Revista de aracnología. 69–95. 6 indexed citations
20.
Ribera, Carles, Eva De Mas, & Pablo Barranco Vega. (2003). ARANEIDOS CAVERNÍCOLAS DE LA PROVINCIA DE ALMERIA ( I ) Y DESCRIPCIÓN DE CUATRO ESPECIES NUEVAS. Revista de aracnología. 3–17. 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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