V. Díez

894 total citations
23 papers, 679 citations indexed

About

V. Díez is a scholar working on Water Science and Technology, Pollution and Biomedical Engineering. According to data from OpenAlex, V. Díez has authored 23 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 9 papers in Pollution and 9 papers in Biomedical Engineering. Recurrent topics in V. Díez's work include Membrane Separation Technologies (18 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Membrane-based Ion Separation Techniques (7 papers). V. Díez is often cited by papers focused on Membrane Separation Technologies (18 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Membrane-based Ion Separation Techniques (7 papers). V. Díez collaborates with scholars based in Spain, Netherlands and Türkiye. V. Díez's co-authors include Rodrigo del Pozo, Cipriano Ramos, José Luis Cabezas, Sagrario Beltrán, Pedro A. García‐Encina, F. Fdz‐Polanco, Michel Saakes, Kitty Nijmeijer, J. Moreno and María Olga Ruiz and has published in prestigious journals such as Water Research, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

V. Díez

23 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Díez Spain 14 465 249 226 152 138 23 679
Khac‐Uan Do Vietnam 16 430 0.9× 172 0.7× 309 1.4× 189 1.2× 266 1.9× 32 816
Sergi Vinardell Spain 14 333 0.7× 176 0.7× 166 0.7× 123 0.8× 184 1.3× 22 609
F. Plaza Spain 13 451 1.0× 193 0.8× 198 0.9× 95 0.6× 157 1.1× 22 635
Kaushalya C. Wijekoon Australia 8 410 0.9× 224 0.9× 345 1.5× 131 0.9× 96 0.7× 8 679
Franz Xaver Bischof Germany 12 265 0.6× 174 0.7× 175 0.8× 93 0.6× 73 0.5× 29 501
Youn-Kyoo Choung South Korea 14 289 0.6× 109 0.4× 168 0.7× 68 0.4× 119 0.9× 25 622
Audrey Soric France 14 199 0.4× 153 0.6× 247 1.1× 133 0.9× 124 0.9× 26 663
Wouter Naessens Belgium 7 311 0.7× 150 0.6× 205 0.9× 64 0.4× 73 0.5× 15 494
Seong-Keun Yim South Korea 8 262 0.6× 190 0.8× 153 0.7× 234 1.5× 136 1.0× 11 579
Yang Pan China 14 312 0.7× 193 0.8× 226 1.0× 242 1.6× 117 0.8× 21 636

Countries citing papers authored by V. Díez

Since Specialization
Citations

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

Fields of papers citing papers by V. Díez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Díez

This figure shows the co-authorship network connecting the top 25 collaborators of V. Díez. A scholar is included among the top collaborators of V. Díez 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 V. Díez. V. Díez 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.
Díez, V., et al.. (2025). Comparing a new semi-empirical mathematical model and a neural network for the description and forecasting of reversible fouling in membrane bioreactors. Chemical Engineering and Processing - Process Intensification. 212. 110256–110256. 2 indexed citations
2.
González-Gascón-y-Marín, Isabel, et al.. (2023). PB2687: DIGITAL-HEALTH AND REMOTE MONITORING FOR PATIENTS RECEIVING AZACITIDINE AT HOME. A FURTHER STEP TOWARDS HUMANIZATION AND PATIENT-CENTERED MEDICINE. HemaSphere. 7(S3). e77078d5–e77078d5. 1 indexed citations
3.
Díez, V., et al.. (2022). Neural network modelling and prediction of an Anaerobic Filter Membrane Bioreactor. Engineering Applications of Artificial Intelligence. 118. 105643–105643. 13 indexed citations
4.
Ruiz, María Olga, et al.. (2021). Fouling control of submerged and side-stream membrane bioreactors based on the statistical analysis of mid-term assays. Journal of Cleaner Production. 326. 129336–129336. 14 indexed citations
5.
Ruiz, María Olga, et al.. (2021). Effect of salinity and temperature on the extraction of extracellular polymeric substances from an anaerobic sludge and fouling in submerged hollow fibre membranes. Colloids and Surfaces A Physicochemical and Engineering Aspects. 625. 126910–126910. 3 indexed citations
6.
Ruiz, María Olga, et al.. (2020). Comparison of external and submerged membranes used in anaerobic membrane bioreactors: Fouling related issues and biological activity. Biochemical Engineering Journal. 159. 107558–107558. 15 indexed citations
7.
Díez, V., et al.. (2018). A novel anaerobic filter membrane bioreactor: prototype start-up and filtration assays. Water Science & Technology. 78(9). 1833–1842. 4 indexed citations
8.
Ramos, Cipriano, et al.. (2014). Performance of an AnMBR pilot plant treating high-strength lipid wastewater: Biological and filtration processes. Water Research. 67. 203–215. 51 indexed citations
9.
Ramos, Cipriano, et al.. (2014). Chemical cleaning of membranes from an anaerobic membrane bioreactor treating food industry wastewater. Journal of Membrane Science. 458. 179–188. 49 indexed citations
10.
11.
Díez, V., Cipriano Ramos, & José Luis Cabezas. (2012). Treating wastewater with high oil and grease content using an Anaerobic Membrane Bioreactor (AnMBR). Filtration and cleaning assays. Water Science & Technology. 65(10). 1847–1853. 43 indexed citations
12.
Pozo, Rodrigo del & V. Díez. (2005). Integrated anaerobic–aerobic fixed-film reactor for slaughterhouse wastewater treatment. Water Research. 39(6). 1114–1122. 79 indexed citations
13.
Pozo, Rodrigo del, et al.. (2005). The influence of influent distribution and blood content of slaughterhouse wastewater on the performance of an anaerobic fixed‐film reactor. Journal of Chemical Technology & Biotechnology. 81(3). 282–288. 8 indexed citations
14.
Pozo, Rodrigo del, et al.. (2004). Nitrogen and Organic Matter Removal from Slaughterhouse Wastewater in a Lab-Scale Aerobic Fixed-Film Bioreactor. Environmental Technology. 25(6). 713–721. 2 indexed citations
15.
Pozo, Rodrigo del, et al.. (2003). Biodegradability of slaughterhouse wastewater with high blood content under anaerobic and aerobic conditions. Journal of Chemical Technology & Biotechnology. 78(4). 384–391. 45 indexed citations
16.
Pozo, Rodrigo del & V. Díez. (2003). Organic matter removal in combined anaerobic–aerobic fixed-film bioreactors. Water Research. 37(15). 3561–3568. 73 indexed citations
17.
Pozo, Rodrigo del, et al.. (2002). Hydraulic Distribution Effect on a Real-Scale Trickling Filter. Environmental Engineering Science. 19(3). 151–157. 2 indexed citations
18.
Pozo, Rodrigo del, et al.. (2002). Start-up of a pilot-scale anaerobic fixed film reactor at low temperature treating slaughterhouse wastewater. Water Science & Technology. 46(4-5). 215–222. 11 indexed citations
19.
Pozo, Rodrigo del, V. Díez, & Sagrario Beltrán. (2000). Anaerobic pre-treatment of slaughterhouse wastewater using fixed-film reactors. Bioresource Technology. 71(2). 143–149. 63 indexed citations
20.
Díez, V., Pedro A. García‐Encina, & F. Fdz‐Polanco. (1999). Evaluation of methanogenic kinetics in an anaerobic fluidized bed reactor (AFBR). Process Biochemistry. 34(3). 213–219. 7 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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