Aurelio Uncini

6.3k citations
262 papers · 4.7k · 1 hit paper · h-index 37

Impact in

Papers in

    • Speech and Audio Processing 74
    • Blind Source Separation Techniques 73
    • Music and Audio Processing 34
    • Neural Networks and Applications 83
    • Machine Learning and ELM 21

Aurelio Uncini

243 papers receiving 4.5k citations

Aurelio Uncini's Hit Papers

Group sparse regularization for deep neural networks 2017 · 299 citations
2990+3+6Years since publication50100150200250

Peers

Aurelio Uncini
Comparison fields: 5 of 153
  • Signal Processing 1.9k
  • Computational Mechanics 1.3k
  • Artificial Intelligence 2.1k
  • Computer Vision and Pattern Recognition 1.2k
  • Control and Systems Engineering 658
Replace Anı́bal R. Figueiras-Vidal with:
Anı́bal R. Figueiras-Vidal Spain
Weifeng Liu China
Jiashu Zhang China
Jonathon A. Chambers United Kingdom
Qianli Ma China
Roberto Togneri Australia
Weifeng Liu China
Jiuwen Cao China
W. Bastiaan Kleijn Sweden
Feng Wu China
Aurelio Uncini relative to Anı́bal R. Figueiras-Vidal Spain Anı́bal R. Figueiras-Vidal's profile →
Citations per field
00.5×1.5×2.2×
Anı́bal R. Figueiras-Vidal · 1×
Citations per year

Countries citing papers authored by Aurelio Uncini

Since Specialization
Citations

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

Fields of papers citing papers by Aurelio Uncini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aurelio Uncini, 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 Aurelio Uncini Line = papers co-authored together Aurelio Uncini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 262 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Group sparse regularization for deep neural networks
Hit paper breakdown →
2017299
2 2012157
3 2013145
4 1999130
5 2015129
6 2014126
7 1992124
8 2020122
9 1998108
10 199396
11 199988
12 201485
13 201576
14 202075
15 201874
16 201469
17 201564
18 199962
19 202160
20 201459

About Aurelio Uncini

Aurelio Uncini is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 262 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (83 papers), Advanced Adaptive Filtering Techniques (80 papers), Speech and Audio Processing (74 papers), Blind Source Separation Techniques (73 papers), Image and Signal Denoising Methods (39 papers), Music and Audio Processing (34 papers), Control Systems and Identification (26 papers) and Machine Learning and ELM (21 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computational Mechanics (1.3k citations), Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.2k citations) and Control and Systems Engineering (658 citations). Aurelio Uncini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Francesco Piazza, Raffaele Parisi, Amir Hussain, Michele Marchesi, Indro Spinelli, Massimo Panella and N. Benvenuto. Their work appears in journals such as Electronics Letters, Signal Processing, Neural Networks, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.

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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