H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 37 Citations 5,452 238 World Ranking 5287 National Ranking 128

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to compression and communication of remotely sensed imagery

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer network

His primary areas of study are Data compression, Artificial intelligence, Computer vision, Lossless compression and Image compression. His study focuses on the intersection of Data compression and fields such as Computer network with connections in the field of Wireless video, Field, Energy consumption and Image quality. Within one scientific family, Enrico Magli focuses on topics pertaining to Pattern recognition under Artificial intelligence, and may sometimes address concerns connected to Discrete cosine transform.

His research investigates the connection between Computer vision and topics such as Hyperspectral imaging that intersect with issues in Compression. His Lossless compression study contributes to a more complete understanding of Algorithm. His Image compression research includes themes of Wireless sensor network, Real-time computing, Simulation and Space exploration.

His most cited work include:

  • Transform Coding Techniques for Lossy Hyperspectral Data Compression (244 citations)
  • Multimedia Selective Encryption by Means of Randomized Arithmetic Coding (199 citations)
  • Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC (169 citations)

What are the main themes of his work throughout his whole career to date?

Enrico Magli spends much of his time researching Artificial intelligence, Algorithm, Computer vision, Pattern recognition and Compressed sensing. His Artificial intelligence research focuses on Data compression, Convolutional neural network, Deep learning, Artificial neural network and Wavelet transform. His studies in Data compression integrate themes in fields like Transform coding, Lossy compression and Image compression, JPEG 2000.

His research integrates issues of Encoder and Theoretical computer science in his study of Algorithm. In the field of Pattern recognition, his study on Feature extraction overlaps with subjects such as Gaussian. His Compressed sensing research is multidisciplinary, incorporating perspectives in Matrix, Mathematical optimization, Signal, Signal processing and Iterative reconstruction.

He most often published in these fields:

  • Artificial intelligence (37.36%)
  • Algorithm (29.78%)
  • Computer vision (21.35%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (37.36%)
  • Pattern recognition (17.70%)
  • Convolutional neural network (6.74%)

In recent papers he was focusing on the following fields of study:

Enrico Magli mainly focuses on Artificial intelligence, Pattern recognition, Convolutional neural network, Deep learning and Noise reduction. His Artificial intelligence research integrates issues from Machine learning and Computer vision. His work on Feature extraction as part of general Pattern recognition research is frequently linked to Gaussian, thereby connecting diverse disciplines of science.

His Convolutional neural network study incorporates themes from Image denoising, Feature learning, Algorithm, Convolution and Iterative reconstruction. His work in Iterative reconstruction covers topics such as Computer engineering which are related to areas like Compressed sensing. The Lossless compression study which covers Multispectral image that intersects with Lossy compression.

Between 2018 and 2021, his most popular works were:

  • Metis: the Solar Orbiter visible light and ultraviolet coronal imager (31 citations)
  • DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images (29 citations)
  • Robust license plate recognition using neural networks trained on synthetic images (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Algorithm

His main research concerns Artificial intelligence, Convolutional neural network, Pattern recognition, Deep learning and Noise reduction. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Machine learning. His study in Convolutional neural network is interdisciplinary in nature, drawing from both Hyperspectral imaging, Feature learning, Iterative reconstruction, Computer vision and Algorithm.

Enrico Magli interconnects Lossy compression and Lossless compression in the investigation of issues within Hyperspectral imaging. His work on Computation and Compressed sensing as part of general Algorithm study is frequently linked to Information processing, bridging the gap between disciplines. In his research, Normalization and Task is intimately related to Image, which falls under the overarching field of Pattern recognition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Transform Coding Techniques for Lossy Hyperspectral Data Compression

B. Penna;T. Tillo;E. Magli;G. Olmo.
IEEE Transactions on Geoscience and Remote Sensing (2007)

348 Citations

Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC

E. Magli;G. Olmo;E. Quacchio.
IEEE Geoscience and Remote Sensing Letters (2004)

288 Citations

Multimedia Selective Encryption by Means of Randomized Arithmetic Coding

M. Grangetto;E. Magli;G. Olmo.
IEEE Transactions on Multimedia (2006)

272 Citations

Distributed Compressed Sensing

Giulio Coluccia;Chiara Ravazzi;Enrico Magli.
(2015)

227 Citations

Progressive 3-D coding of hyperspectral images based on JPEG 2000

B. Penna;T. Tillo;E. Magli;G. Olmo.
IEEE Geoscience and Remote Sensing Letters (2006)

197 Citations

Optimization and implementation of the integer wavelet transform for image coding

M. Grangetto;E. Magli;M. Martina;G. Olmo.
IEEE Transactions on Image Processing (2002)

139 Citations

Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation

S. Belfiore;M. Grangetto;E. Magli;G. Olmo.
IEEE Transactions on Multimedia (2005)

134 Citations

Low-complexity video compression for wireless sensor networks

E. Magli;M. Mancin;L. Merello.
international conference on multimedia and expo (2003)

129 Citations

Energy consumption and image quality in wireless video-surveillance networks

C.-F. Chiasserini;E. Magli.
personal, indoor and mobile radio communications (2002)

127 Citations

Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents

M.C.O. Bogino;P. Cataldi;M. Grangetto;E. Magli.
international symposium on circuits and systems (2007)

104 Citations

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Best Scientists Citing Enrico Magli

Gene Cheung

Gene Cheung

York University

Publications: 33

James E. Fowler

James E. Fowler

Mississippi State University

Publications: 26

Yushu Zhang

Yushu Zhang

Nanjing University of Aeronautics and Astronautics

Publications: 23

Qian Du

Qian Du

Mississippi State University

Publications: 18

Michael W. Marcellin

Michael W. Marcellin

University of Arizona

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Kwok-Wo Wong

Kwok-Wo Wong

City University of Hong Kong

Publications: 16

Muriel Medard

Muriel Medard

MIT

Publications: 16

Hamid Sharif

Hamid Sharif

University of Nebraska–Lincoln

Publications: 16

Honggang Wang

Honggang Wang

University of Massachusetts Dartmouth

Publications: 15

Antonio Ortega

Antonio Ortega

University of Southern California

Publications: 13

Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

Publications: 13

Oscar C. Au

Oscar C. Au

Hong Kong University of Science and Technology

Publications: 13

Michael Luby

Michael Luby

BitRipple

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Bruno Aiazzi

Bruno Aiazzi

National Research Council (CNR)

Publications: 11

Beatrice Pesquet-Popescu

Beatrice Pesquet-Popescu

University of Paris-Saclay

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Andreas Uhl

Andreas Uhl

University of Salzburg

Publications: 11

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