Mauro Mangia

1.4k citations
94 papers · 1.0k indexed · h-index 17
Topics
Sparse and Compressive Sensing Techniques (55 papers)Analog and Mixed-Signal Circuit Design (36 papers)Blind Source Separation Techniques (19 papers)

In The Last Decade

Mauro Mangia

83 papers receiving 1.0k citations

Peers

Mauro Mangia
Comparison fields: 5 of 55
  • Computational Mechanics 604
  • Biomedical Engineering 501
  • Electrical and Electronic Engineering 449
  • Signal Processing 202
  • Computer Vision and Pattern Recognition 147
Replace José L. Paredes with:
José L. Paredes Venezuela
Sanjay B. Dhok India
Sheng Li China
Saideh Ferdowsi United Kingdom
N. Khaled Switzerland
Wenbo Xu China
Aziza I. Hussein Egypt
R. B. Deshmukh India
Mohamad Adnan Al‐Alaoui Lebanon
Kaushik Mahata Australia
Mauro Mangia relative to José L. Paredes Venezuela José L. Paredes's profile →
Citations per field
00.5×8.1×
José L. Paredes · 1×
Citations per year

Countries citing papers authored by Mauro Mangia

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Mangia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Mangia

This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Mangia. A scholar is included among the top collaborators of Mauro Mangia 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 Mauro Mangia. Mauro Mangia 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
#WorkIndexed citations
1 2
2 0
3 0
4 0
5 3
6 0
7 2
8 42
9 2
10 1
11 29
12 1
13 18
14 66
15 2
16 27
17 10
18 72
19 15
20 1

About Mauro Mangia

Mauro Mangia is a scholar working on Computational Mechanics, Acoustics and Ultrasonics and Signal Processing, having authored 94 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (55 papers), Analog and Mixed-Signal Circuit Design (36 papers) and Blind Source Separation Techniques (19 papers). The work is most often cited by research in Computational Mechanics (604 citations), Acoustics and Ultrasonics (23 citations) and Signal Processing (202 citations). Mauro Mangia has collaborated with scholars based in Italy, Switzerland and Saudi Arabia. Frequent co-authors include Riccardo Rovatti, Gianluca Setti, Fabio Pareschi, Valerio Cambareri, Luca Benini, Andrea Bartolini, Giovanni Frattini, Nicola Testoni, Luca De Marchi and Federica Zonzini. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Signal Processing and IEEE Access.

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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