Alberto Ferrer

7.1k total citations · 2 hit papers
130 papers, 5.0k citations indexed

About

Alberto Ferrer is a scholar working on Analytical Chemistry, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Alberto Ferrer has authored 130 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Analytical Chemistry, 52 papers in Control and Systems Engineering and 27 papers in Molecular Biology. Recurrent topics in Alberto Ferrer's work include Spectroscopy and Chemometric Analyses (68 papers), Fault Detection and Control Systems (52 papers) and Mineral Processing and Grinding (25 papers). Alberto Ferrer is often cited by papers focused on Spectroscopy and Chemometric Analyses (68 papers), Fault Detection and Control Systems (52 papers) and Mineral Processing and Grinding (25 papers). Alberto Ferrer collaborates with scholars based in Spain, Netherlands and Italy. Alberto Ferrer's co-authors include Ana Conesa, Joaquı́n Dopazo, Sonia Tarazona, Fernando García-Alcalde, J.M. Prats-Montalbán, María José Nueda, Francisco Moreno, José Camacho, Jesús Picó and Abel Folch‐Fortuny and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Alberto Ferrer

125 papers receiving 5.0k citations

Hit Papers

Differential expression in RNA-seq: A matter of depth 2011 2026 2016 2021 2011 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Ferrer Spain 30 1.8k 1.1k 1.0k 730 518 130 5.0k
Julio R. Banga Spain 47 3.6k 2.0× 121 0.1× 1.8k 1.8× 223 0.3× 217 0.4× 214 7.3k
Joseph Sang‐Il Kwon United States 44 1.4k 0.8× 152 0.1× 1.3k 1.3× 228 0.3× 998 1.9× 272 6.3k
Hong‐Dong Li China 31 1.3k 0.7× 3.1k 2.8× 183 0.2× 560 0.8× 138 0.3× 118 5.1k
Kristian Hovde Liland Norway 27 919 0.5× 1.4k 1.3× 153 0.2× 404 0.6× 103 0.2× 109 3.8k
Soumik Sarkar United States 35 306 0.2× 772 0.7× 654 0.6× 2.7k 3.7× 322 0.6× 195 6.5k
Andreas Zell Germany 45 1.9k 1.1× 115 0.1× 643 0.6× 207 0.3× 227 0.4× 376 6.7k
Tahir Mehmood Pakistan 26 533 0.3× 909 0.8× 149 0.1× 581 0.8× 230 0.4× 208 3.8k
Xiaotong Shen United States 44 1.4k 0.8× 115 0.1× 549 0.5× 59 0.1× 88 0.2× 226 6.5k
Pengcheng Li China 39 986 0.5× 178 0.2× 142 0.1× 286 0.4× 170 0.3× 498 6.2k
Xiaofei He China 31 1.9k 1.1× 189 0.2× 203 0.2× 193 0.3× 116 0.2× 96 7.2k

Countries citing papers authored by Alberto Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Ferrer. A scholar is included among the top collaborators of Alberto Ferrer 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 Alberto Ferrer. Alberto Ferrer 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.
2.
Verdú, Samuel, et al.. (2025). A non-contact methodology based on imaging analysis, chemometrics, and machine learning to predict the lethality of stressors on C. elegans populations in liquid culture. Chemometrics and Intelligent Laboratory Systems. 264. 105450–105450. 1 indexed citations
3.
Folch‐Fortuny, Abel, et al.. (2024). RadarTSR: A new algorithm for cellwise and rowwise outlier detection and missing data imputation. Chemometrics and Intelligent Laboratory Systems. 247. 105047–105047.
4.
Verdú, Samuel, Ignacio García‐Bocanegra, Célina Roda, et al.. (2024). Multivariate image analysis for assessment of textural attributes in transglutaminase-reconstituted meat. Chemometrics and Intelligent Laboratory Systems. 256. 105280–105280. 3 indexed citations
5.
Prats-Montalbán, J.M., et al.. (2024). New breast cancer biomarkers from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models. Chemometrics and Intelligent Laboratory Systems. 251. 105171–105171. 1 indexed citations
6.
Folch‐Fortuny, Abel, et al.. (2024). On the Properties of PLS for Analyzing Two‐Level Factorial Experimental Designs. Journal of Chemometrics. 38(12).
7.
Ferrer, Alberto, et al.. (2024). Dynamic Multiblock Regression for Process Modelling. Journal of Chemometrics. 38(12).
8.
Ferrer, Alberto, et al.. (2023). Process understanding and monitoring: A glimpse into data strategies for miniaturized NIR spectrometers. Analytica Chimica Acta. 1281. 341902–341902. 5 indexed citations
9.
Martí, Mónica Climente, et al.. (2022). Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients. PLoS ONE. 17(9). e0274171–e0274171. 5 indexed citations
10.
Tarazona, Sonia, et al.. (2020). A multi-omics dataset of heat-shock response in the yeast RNA binding protein Mip6. Scientific Data. 7(1). 69–69. 6 indexed citations
11.
Tarazona, Sonia, et al.. (2020). MultiBaC: A strategy to remove batch effects between different omic data types. Statistical Methods in Medical Research. 29(10). 2851–2864. 9 indexed citations
12.
Colucci, Domenico, J.M. Prats-Montalbán, Alberto Ferrer, & Davide Fissore. (2019). On-line product quality and process failure monitoring in freeze-drying of pharmaceutical products. Drying Technology. 39(2). 134–147. 9 indexed citations
13.
14.
Noord, Onno E. de, et al.. (2014). Multisynchro: a novel approach for batch synchronization in scenarios of multiple asynchronisms. Journal of Chemometrics. 28(5). 462–475. 24 indexed citations
15.
Silva, Carolina S., Maria Fernanda Pimentel, Ricardo S. Honorato, et al.. (2014). Near infrared hyperspectral imaging for forensic analysis of document forgery. The Analyst. 139(20). 5176–5184. 73 indexed citations
16.
Ferrer, Alberto, et al.. (2013). A Comparative Study of Different Methodologies for Fault Diagnosis in Multivariate Quality Control. Communications in Statistics - Simulation and Computation. 43(5). 986–1005. 5 indexed citations
17.
Kuligowski, Julia, David Pérez-Guaita, Javier Escobar, et al.. (2013). Evaluation of the effect of chance correlations on variable selection using Partial Least Squares-Discriminant Analysis. Talanta. 116. 835–840. 20 indexed citations
18.
Ferrer, Alberto, et al.. (2013). Mejora del proceso farmacoterapéutico del paciente hospitalizado mediante la metodología Lean Seis Sigma. Revista de Calidad Asistencial. 28(6). 370–380. 2 indexed citations
19.
Nueda, María José, Alberto Ferrer, & Ana Conesa. (2011). ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments. Biostatistics. 13(3). 553–566. 54 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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