F. Xavier Rius

8.3k total citations
159 papers, 6.8k citations indexed

About

F. Xavier Rius is a scholar working on Analytical Chemistry, Bioengineering and Food Science. According to data from OpenAlex, F. Xavier Rius has authored 159 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Analytical Chemistry, 52 papers in Bioengineering and 36 papers in Food Science. Recurrent topics in F. Xavier Rius's work include Spectroscopy and Chemometric Analyses (53 papers), Analytical Chemistry and Sensors (52 papers) and Electrochemical Analysis and Applications (29 papers). F. Xavier Rius is often cited by papers focused on Spectroscopy and Chemometric Analyses (53 papers), Analytical Chemistry and Sensors (52 papers) and Electrochemical Analysis and Applications (29 papers). F. Xavier Rius collaborates with scholars based in Spain, France and Slovenia. F. Xavier Rius's co-authors include Jordi Riu, Gastón A. Crespo, Ricard Boqué, Santiago Macho, M. Soledad Larrechi, Francisco J. Andrade, Gustavo A. Zelada‐Guillén, Pascal Blondeau, Alicia Maroto and Joan Ferré and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Chemical Communications.

In The Last Decade

F. Xavier Rius

157 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Xavier Rius Spain 45 2.5k 2.4k 2.2k 1.7k 1.5k 159 6.8k
Manel del Valle Spain 45 2.7k 1.1× 2.3k 0.9× 3.4k 1.6× 892 0.5× 2.0k 1.4× 221 6.8k
L.F. Capitán‐Vallvey Spain 42 2.3k 0.9× 1.8k 0.7× 3.4k 1.6× 1.3k 0.8× 824 0.6× 308 7.6k
David Brynn Hibbert Australia 43 2.9k 1.2× 1.3k 0.5× 1.3k 0.6× 903 0.5× 2.0k 1.4× 243 8.0k
Ángel Ríos Spain 45 1.5k 0.6× 1.0k 0.4× 3.2k 1.5× 2.5k 1.5× 1.3k 0.9× 360 8.3k
Andrey Legin Russia 45 1.6k 0.6× 2.2k 0.9× 3.8k 1.8× 950 0.6× 905 0.6× 223 6.3k
Afsaneh Safavi Iran 53 4.3k 1.7× 2.3k 1.0× 1.3k 0.6× 1.6k 0.9× 3.8k 2.6× 316 9.5k
Jordi Riu Spain 35 1.4k 0.6× 1.1k 0.4× 1.4k 0.6× 651 0.4× 727 0.5× 81 3.8k
Yuzhi Fang China 41 2.1k 0.8× 696 0.3× 1.9k 0.9× 401 0.2× 1.6k 1.1× 179 5.2k
Jean‐Louis Marty France 65 5.6k 2.2× 2.0k 0.8× 5.1k 2.3× 746 0.4× 3.4k 2.3× 328 13.9k
Jahan B. Ghasemi Iran 47 1.4k 0.6× 625 0.3× 884 0.4× 1.6k 0.9× 856 0.6× 409 8.7k

Countries citing papers authored by F. Xavier Rius

Since Specialization
Citations

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

Fields of papers citing papers by F. Xavier Rius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Xavier Rius. 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 F. Xavier Rius. The network helps show where F. Xavier Rius may publish in the future.

Co-authorship network of co-authors of F. Xavier Rius

This figure shows the co-authorship network connecting the top 25 collaborators of F. Xavier Rius. A scholar is included among the top collaborators of F. Xavier Rius 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 F. Xavier Rius. F. Xavier Rius 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.
Novell, Marta, Tomàs Guinovart, Pascal Blondeau, F. Xavier Rius, & Francisco J. Andrade. (2013). A paper-based potentiometric cell for decentralized monitoring of Li levels in whole blood. Lab on a Chip. 14(7). 1308–1308. 93 indexed citations
2.
Rius, F. Xavier, et al.. (2013). A potassium sensor based on non-covalent functionalization of multi-walled carbon nanotubes. The Analyst. 138(9). 2698–2698. 25 indexed citations
3.
Alegret, Núria, Eva Santos, Antonio Rodríguez‐Fortea, F. Xavier Rius, & Josep M. Poblet. (2012). Disruption of small double stranded DNA molecules on carbon nanotubes: A molecular dynamics study. Chemical Physics Letters. 525-526. 120–124. 15 indexed citations
4.
Zelada‐Guillén, Gustavo A., et al.. (2011). Label-free detection of Staphylococcus aureus in skin using real-time potentiometric biosensors based on carbon nanotubes and aptamers. Biosensors and Bioelectronics. 31(1). 226–232. 150 indexed citations
5.
Zelada‐Guillén, Gustavo A., et al.. (2010). Nanostructured materials in potentiometry. Analytical and Bioanalytical Chemistry. 399(1). 171–181. 81 indexed citations
6.
Braun, Julia, et al.. (2009). Morphological and electrical characteristics of biofunctionalized layers on carbon nanotubes. Biosensors and Bioelectronics. 25(1). 161–166. 8 indexed citations
7.
Riu, Jordi, et al.. (2009). Fast picomolar selective detection of bisphenol A in water using a carbon nanotube field effect transistor functionalized with estrogen receptor-α. Biosensors and Bioelectronics. 24(9). 2842–2846. 51 indexed citations
8.
Garrido, M., F. Xavier Rius, & M. Soledad Larrechi. (2008). Multivariate curve resolution–alternating least squares (MCR-ALS) applied to spectroscopic data from monitoring chemical reactions processes. Analytical and Bioanalytical Chemistry. 390(8). 2059–2066. 205 indexed citations
9.
Crespo, Gastón A., Santiago Macho, Johan Bobacka, & F. Xavier Rius. (2008). Transduction Mechanism of Carbon Nanotubes in Solid-Contact Ion-Selective Electrodes. Analytical Chemistry. 81(2). 676–681. 212 indexed citations
10.
11.
Boqué, Ricard, et al.. (2004). Development and validation of a method for determining pesticides in groundwater from complex overlapped HPLC signals and multivariate curve resolution. Chemometrics and Intelligent Laboratory Systems. 77(1-2). 251–260. 34 indexed citations
12.
13.
Riu, Jordi, et al.. (2001). Robust linear regression taking into account errors in the predictor and response variables. The Analyst. 126(7). 1113–1117. 7 indexed citations
14.
Ruisánchez, Itziar, et al.. (1999). Radial basis functions applied to the classification of UV–visible spectra. Analytica Chimica Acta. 388(3). 273–281. 42 indexed citations
15.
Callao, M. Pilar, et al.. (1999). Multivariate standardization techniques on ion-selective sensor arrays. The Analyst. 124(7). 1045–1051. 30 indexed citations
16.
Ferré, Joan & F. Xavier Rius. (1997). Constructing D-optimal designs from a list of candidate samples. TrAC Trends in Analytical Chemistry. 16(2). 70–73. 22 indexed citations
17.
Boqué, Ricard & F. Xavier Rius. (1997). Computing detection limits in multicomponent spectroscopic analysis. TrAC Trends in Analytical Chemistry. 16(8). 432–436. 15 indexed citations
18.
Esteban, Miquel, Itziar Ruisánchez, M. Soledad Larrechi, & F. Xavier Rius. (1992). Expert system for the voltammetric determination of trace metals. Analytica Chimica Acta. 268(1). 95–105. 19 indexed citations
19.
Marcé, Rosa María, et al.. (1990). An optimized direct method for the determination of carboxylic acids in beverages by HPLC. Chromatographia. 29(1-2). 54–58. 30 indexed citations
20.
Zupan, Jure & F. Xavier Rius. (1990). XYZ, a program for modeling, validation, prediction and graphic display of data. Analytica Chimica Acta. 239. 311–315. 11 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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