Danilo Comminiello

2.9k citations
122 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

Danilo Comminiello

114 papers receiving 2.0k citations

Danilo Comminiello's Hit Papers

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

Peers

Danilo Comminiello
Comparison fields: 5 of 113
  • Signal Processing 934
  • Computational Mechanics 975
  • Computer Vision and Pattern Recognition 543
  • Artificial Intelligence 676
  • Computational Mathematics 10
Replace Puskal P. Pokharel with:
Puskal P. Pokharel United States
Jerónimo Arenas‐García Spain
Felix Albu Romania
Franz Pernkopf Austria
Rui Seara Brazil
Hon Keung Kwan Canada
Fuliang Yin China
Chong‐Ho Choi South Korea
Zhaoshui He China
Zhuolin Jiang United States
Danilo Comminiello relative to Puskal P. Pokharel United States Puskal P. Pokharel's profile →
Citations per field
00.5×3.8×
Puskal P. Pokharel · 1×
Citations per year

Countries citing papers authored by Danilo Comminiello

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Comminiello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 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 2014126
5 201485
6 201576
7 201459
8 201558
9 201453
10 201540
11 201939
12 202238
13 202032
14 201630
15 202230
16 202426
17 202326
18 201525
19 201625
20 201124

About Danilo Comminiello

Danilo Comminiello is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 122 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (53 papers), Speech and Audio Processing (53 papers), Music and Audio Processing (23 papers), Blind Source Separation Techniques (20 papers), Image and Signal Denoising Methods (18 papers), Neural Networks and Applications (14 papers), Control Systems and Identification (9 papers) and Machine Learning and ELM (7 papers). The work is most often cited by research in Signal Processing (934 citations), Computational Mechanics (975 citations), Computer Vision and Pattern Recognition (543 citations), Artificial Intelligence (676 citations) and Computational Mathematics (10 citations). Danilo Comminiello has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Aurelio Uncini, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Amir Hussain, Eleonora Grassucci, Luis A. Azpicueta-Ruiz, Jerónimo Arenas‐García, Gaetano Scarano and C. Marinoni. Their work appears in journals such as Signal Processing, Pattern Recognition Letters, IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society 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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