Núria Cañameras

30 total papers · 820 total citations
21 papers, 638 citations indexed

About

Núria Cañameras is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Núria Cañameras has authored 21 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pollution, 4 papers in Industrial and Manufacturing Engineering and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Núria Cañameras's work include Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Heavy metals in environment (4 papers) and Wastewater Treatment and Reuse (4 papers). Núria Cañameras is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Heavy metals in environment (4 papers) and Wastewater Treatment and Reuse (4 papers). Núria Cañameras collaborates with scholars based in Spain, Germany and Canada. Núria Cañameras's co-authors include Josep M. Bayona, Víctor Matamoros, Jordi Comas, Sergi Dı́ez, Carmen Carrillo Domínguez, Diana Calderón-Preciado, G.W. Price, Benjamı́n Piña, Đorđe Tadić and Laia Navarro‐Martín and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Núria Cañameras

19 papers receiving 629 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Núria Cañameras 400 166 137 90 69 21 638
Rakhi Nandi 361 0.9× 121 0.7× 156 1.1× 89 1.0× 50 0.7× 13 653
Monika Hejna 225 0.6× 119 0.7× 75 0.5× 116 1.3× 56 0.8× 27 703
Tomer Malchi 491 1.2× 152 0.9× 196 1.4× 44 0.5× 88 1.3× 8 695
Robert Budd 426 1.1× 277 1.7× 104 0.8× 137 1.5× 38 0.6× 19 707
Juan Morettón 350 0.9× 194 1.2× 76 0.6× 94 1.0× 40 0.6× 48 632
D. Carboo 225 0.6× 205 1.2× 151 1.1× 87 1.0× 51 0.7× 37 761
Leslie Mondamert 455 1.1× 212 1.3× 48 0.4× 47 0.5× 97 1.4× 26 671
Xiang Li 336 0.8× 82 0.5× 83 0.6× 164 1.8× 44 0.6× 18 694
Sridhar Susarla 384 1.0× 278 1.7× 119 0.9× 155 1.7× 59 0.9× 15 784
Ahmed Khadra 404 1.0× 64 0.4× 114 0.8× 60 0.7× 43 0.6× 15 621

Countries citing papers authored by Núria Cañameras

Since Specialization
Citations

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

Fields of papers citing papers by Núria Cañameras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Núria Cañameras. 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 Núria Cañameras. The network helps show where Núria Cañameras may publish in the future.

Co-authorship network of co-authors of Núria Cañameras

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

All Works

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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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