Gustavo E. Vázquez

438 total citations
23 papers, 272 citations indexed

About

Gustavo E. Vázquez is a scholar working on Computational Theory and Mathematics, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Gustavo E. Vázquez has authored 23 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 5 papers in Control and Systems Engineering. Recurrent topics in Gustavo E. Vázquez's work include Computational Drug Discovery Methods (11 papers), Advanced Control Systems Optimization (5 papers) and Analytical Chemistry and Chromatography (4 papers). Gustavo E. Vázquez is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Advanced Control Systems Optimization (5 papers) and Analytical Chemistry and Chromatography (4 papers). Gustavo E. Vázquez collaborates with scholars based in Argentina, Uruguay and Germany. Gustavo E. Vázquez's co-authors include Ignacio Ponzoni, Mónica F. Díaz, Axel J. Soto, María Jimena Martínez, Hugo Naya, Lucía Spangenberg, Fiorella Cravero, Marc Strickert, Ben Omega Petrazzini and Carlos Roca and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Gustavo E. Vázquez

19 papers receiving 270 citations

Peers

Gustavo E. Vázquez
Qingda Zang United States
Hao Lou United States
Daniel Wigh United Kingdom
Gustavo E. Vázquez
Citations per year, relative to Gustavo E. Vázquez Gustavo E. Vázquez (= 1×) peers Wei‐Qi Lin

Countries citing papers authored by Gustavo E. Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo E. Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustavo E. Vázquez. 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 Gustavo E. Vázquez. The network helps show where Gustavo E. Vázquez may publish in the future.

Co-authorship network of co-authors of Gustavo E. Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo E. Vázquez. A scholar is included among the top collaborators of Gustavo E. Vázquez 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 Gustavo E. Vázquez. Gustavo E. Vázquez 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.
Cravero, Fiorella, Ignacio Ponzoni, Mónica F. Díaz, & Gustavo E. Vázquez. (2026). From prediction to understanding: A review of XAI applications and innovations in materials science. Computational Materials Science. 267. 114493–114493.
2.
Petrazzini, Ben Omega, et al.. (2021). Evaluation of different approaches for missing data imputation on features associated to genomic data. BioData Mining. 14(1). 44–44. 31 indexed citations
3.
Cravero, Fiorella, et al.. (2019). Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. Journal of Chemical Information and Modeling. 60(2). 592–603. 8 indexed citations
4.
Ponzoni, Ignacio, Víctor Sebastián-Pérez, María Jimena Martínez, et al.. (2019). QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease. Scientific Reports. 9(1). 9102–9102. 54 indexed citations
5.
Cravero, Fiorella, María Jimena Martínez, Gustavo E. Vázquez, Mónica F. Díaz, & Ignacio Ponzoni. (2016). Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. PubMed. 13(2). 286–286. 8 indexed citations
6.
Martínez, María Jimena, Ignacio Ponzoni, Mónica F. Díaz, Gustavo E. Vázquez, & Axel J. Soto. (2015). Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. Journal of Cheminformatics. 7(1). 39–39. 23 indexed citations
7.
Vázquez, Gustavo E., et al.. (2015). Parallel optimization by means of a Spectral-Projected-Gradient approach. Computers & Chemical Engineering. 81. 344–354.
8.
Vázquez, Gustavo E., et al.. (2014). Prediction of elongation at break for linear polymers. Chemometrics and Intelligent Laboratory Systems. 139. 121–131. 27 indexed citations
9.
Vázquez, Gustavo E., et al.. (2012). Novel descriptors from main and side chains of high-molecular-weight polymers applied to prediction of glass transition temperatures. Journal of Molecular Graphics and Modelling. 38. 137–147. 18 indexed citations
10.
Iraola, Gregorio, Gustavo E. Vázquez, Lucía Spangenberg, & Hugo Naya. (2012). Reduced Set of Virulence Genes Allows High Accuracy Prediction of Bacterial Pathogenicity in Humans. PLoS ONE. 7(8). e42144–e42144. 15 indexed citations
11.
Martínez, María Jimena, et al.. (2012). QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge. Molecules. 17(12). 14937–14953. 10 indexed citations
12.
Soto, Axel J., Gustavo E. Vázquez, Marc Strickert, & Ignacio Ponzoni. (2011). Target‐Driven Subspace Mapping Methods and Their Applicability Domain Estimation. Molecular Informatics. 30(9). 779–789. 19 indexed citations
13.
Strickert, Marc, Axel J. Soto, & Gustavo E. Vázquez. (2010). Adaptive matrix distances aiming at optimum regression subspaces.. The European Symposium on Artificial Neural Networks. 4 indexed citations
14.
Soto, Axel J., Marc Strickert, & Gustavo E. Vázquez. (2010). Adaptive matrix metrics for molecular descriptor assessment in QSPR classification. Journal of Cheminformatics. 2(S1).
15.
Soto, Axel J., et al.. (2009). Multi‐Objective Feature Selection in QSAR Using a Machine Learning Approach. QSAR & Combinatorial Science. 28(11-12). 1509–1523. 39 indexed citations
16.
Vázquez, Gustavo E., et al.. (2007). Un Software Paralelo Para Problemas De Optimización De Gran Tamaño.. 441–454. 1 indexed citations
17.
Ponzoni, Ignacio, et al.. (2006). Análisis Numérico De Diferentes Criterios De Similitud En Algoritmos De Clustering.. 993–1012. 1 indexed citations
18.
Vázquez, Gustavo E., et al.. (2004). Desempeño De Un Algoritmo Espectral Para Optimización Rigurosa De Plantas De Procesos Industriales. 3047–3058. 1 indexed citations
19.
Vázquez, Gustavo E., Nélida B. Brignole, M. Soledad Díaz, & J. Alberto Bandoni. (2002). Optimization of industrial problems using parallel processing under distributed environments. Chemical Engineering Communications. 189(5). 642–656.
20.
Ponzoni, Ignacio, Gustavo E. Vázquez, Mabel Sánchez, & Nélida B. Brignole. (2001). Parallel observability analysis on networks of workstations. Computers & Chemical Engineering. 25(7-8). 997–1002. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026