Enrico Magli

6.0k citations
268 papers · 3.6k indexed · h-index 31

Enrico Magli

253 papers receiving 3.4k citations

Peers

Enrico Magli
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 2.4k
  • Media Technology 693
  • Signal Processing 680
  • Computer Networks and Communications 812
  • Computational Mechanics 576
Replace Gene Cheung with:
Gene Cheung Japan
Gregory K. Wallace United States
Amir Said United States
B. K. Natarajan United States
Byeungwoo Jeon South Korea
Arun N. Netravali United States
William A. Pearlman United States
Panagiotis Tsakalides Greece
R. Rezaiifar United States
Qi Xie China
Enrico Magli relative to Gene Cheung Japan Gene Cheung's profile →
Citations per field
00.5×2.9×
Gene Cheung · 1×
Citations per year

Countries citing papers authored by Enrico Magli

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Magli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20234
4 20231
5 20238
6 20231
7 20231
8 20210
9
Don't stack layers in graph neural networks, wire them randomly
20211
10 202032
11 201918
12
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
201870
13 20182
14
Lossy Multi/Hyperspectral Compression HW Implementation at high data rate
20142
15
On distributed arithmetic codes and syndrome based turbo codes for Slepian-Wolf coding of non uniform sources
20092
16
Low-complexity lossless compression of hyperspectral images using scalar coset codes
20071
17 200634
18 20014
19
HeliNet: a network of UAV-HAVE stratospheric platforms. System concepts and applications to environmental surveillance
20005
20 20002

About Enrico Magli

Enrico Magli is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Acoustics and Ultrasonics, having authored 268 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (85 papers), Image and Signal Denoising Methods (59 papers), Sparse and Compressive Sensing Techniques (52 papers), Video Coding and Compression Technologies (29 papers), Error Correcting Code Techniques (22 papers), Blind Source Separation Techniques (22 papers), Advanced Vision and Imaging (22 papers) and Wireless Communication Security Techniques (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Media Technology (693 citations) and Signal Processing (680 citations). Enrico Magli has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Gabriella Olmo, Marco Grangetto, Diego Valsesia, Barbara Penna, Tammam Tillo, Tiziano Bianchi, Giulia Fracastoro, Mauro Barni, Giulio Coluccia and Valerio Bioglio. Their work appears in journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and IEEE Transactions on Information Theory.

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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