Fernando Valero

74 total papers · 1.3k total citations
41 papers, 957 citations indexed

About

Fernando Valero is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis and Biomedical Engineering. According to data from OpenAlex, Fernando Valero has authored 41 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 13 papers in Health, Toxicology and Mutagenesis and 7 papers in Biomedical Engineering. Recurrent topics in Fernando Valero's work include Water Treatment and Disinfection (12 papers), Membrane Separation Technologies (7 papers) and Membrane-based Ion Separation Techniques (6 papers). Fernando Valero is often cited by papers focused on Water Treatment and Disinfection (12 papers), Membrane Separation Technologies (7 papers) and Membrane-based Ion Separation Techniques (6 papers). Fernando Valero collaborates with scholars based in Spain, United States and China. Fernando Valero's co-authors include F. Lucena, Cristina Postigo, José Luis Cortina, Juan Jofre, César Valderrama, Maite Muniesa, J. Jofre, E. Larrotcha, Mónica Reig and C. Aladjem and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Hazardous Materials.

In The Last Decade

Fernando Valero

37 papers receiving 925 citations

Author Peers

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

Author Last Decade Papers Cites
Fernando Valero 444 249 239 148 129 41 957
Nathalie Wéry 340 0.8× 296 1.2× 146 0.6× 174 1.2× 190 1.5× 42 1.2k
James Rosenblum 320 0.7× 213 0.9× 221 0.9× 100 0.7× 118 0.9× 33 1.1k
Maria Petala 271 0.6× 305 1.2× 229 1.0× 158 1.1× 320 2.5× 49 1.0k
Saad Jasim 604 1.4× 250 1.0× 254 1.1× 172 1.2× 348 2.7× 33 1.1k
Liv Fiksdal 507 1.1× 224 0.9× 316 1.3× 86 0.6× 121 0.9× 22 1.0k
Emmanuel Van Houtte 415 0.9× 148 0.6× 179 0.7× 169 1.1× 164 1.3× 25 866
Wolfgang Uhl 490 1.1× 378 1.5× 204 0.9× 171 1.2× 224 1.7× 57 959
R. Shane Trussell 645 1.5× 250 1.0× 263 1.1× 295 2.0× 308 2.4× 29 864
Christoph Koch 348 0.8× 358 1.4× 66 0.3× 113 0.8× 181 1.4× 25 1.0k
Shane Rogers 184 0.4× 178 0.7× 153 0.6× 107 0.7× 185 1.4× 37 901

Countries citing papers authored by Fernando Valero

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Valero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Valero

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Valero. A scholar is included among the top collaborators of Fernando Valero 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 Valero. Fernando Valero 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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