Alberto Ferrer

131 papers receiving 4.1k citations

Alberto Ferrer's Hit Papers

Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package 2015 · 600 citations
6000+3+7Years since publication200400600

Peers

Alberto Ferrer
Comparison fields: 5 of 183
  • Analytical Chemistry 1.2k
  • Statistics, Probability and Uncertainty 416
  • Control and Systems Engineering 1.1k
  • Biophysics 261
  • Statistics and Probability 231
Replace D. Jouan-Rimbaud with:
D. Jouan-Rimbaud Belgium
Roy De Maesschalck Belgium
Thomas J. McAvoy United States
Julio R. Banga Spain
Willem J. Melssen Netherlands
David S. Broomhead United Kingdom
Tahir Mehmood Pakistan
Juergen Hahn United States
Yufeng Liu China
Xiaotong T. Shen United States
Alberto Ferrer relative to D. Jouan-Rimbaud Belgium D. Jouan-Rimbaud's profile →
Citations per field
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D. Jouan-Rimbaud · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Alberto Ferrer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alberto Ferrer Line = papers co-authored together Alberto Ferrer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package
Hit paper breakdown →
2015600
2 2006358
3 2011254
4 2002192
5 2012124
6 2007101
7 201487
8 200985
9 201583
10 201678
11 200775
12 201670
13 200970
14 200867
15 201165
16 201462
17 200756
18 201155
19 201154
20 201253

About Alberto Ferrer

Alberto Ferrer is a scholar working on Analytical Chemistry, Control and Systems Engineering, Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering, having authored 137 papers that have together received 4.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (68 papers), Fault Detection and Control Systems (54 papers), Mineral Processing and Grinding (25 papers), Advanced Statistical Process Monitoring (23 papers), Advanced Statistical Methods and Models (12 papers), Advanced Control Systems Optimization (12 papers), Gene expression and cancer classification (11 papers) and Industrial Vision Systems and Defect Detection (11 papers). The work is most often cited by research in Analytical Chemistry (1.2k citations), Statistics, Probability and Uncertainty (416 citations), Control and Systems Engineering (1.1k citations), Biophysics (261 citations) and Statistics and Probability (231 citations). Alberto Ferrer has collaborated with scholars based in Spain, Netherlands and Italy. Frequent co-authors include Jose Manuel Prats-Montalbán, Ana Conesa, María José Nueda, José Camacho Páez, Jesús Picó, Sonia Tarazona, Abel Folch‐Fortuny, Manuel Talón, Pedro Furió‐Tarí and David Turrà. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, Quality Engineering, Bioinformatics and Technometrics.

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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