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- Sergio Barbarossa

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Computer Science
D-index
56
Citations
14,079
224
World Ranking
2008
National Ranking
38

Electronics and Electrical Engineering
D-index
51
Citations
11,902
187
World Ranking
1075
National Ranking
28

2012 - IEEE Fellow For contributions to signal processing, sensor networks, and wireless communications

- Statistics
- Artificial intelligence
- Telecommunications

His primary areas of study are Algorithm, Signal processing, Communication channel, Mathematical optimization and Computer network. His work carried out in the field of Algorithm brings together such families of science as Identifiability, Fading, Control theory and Precoding. The various areas that Sergio Barbarossa examines in his Control theory study include Code division multiple access, Filter bank, Optimal design and Time division multiple access.

His Signal processing study which covers Estimation theory that intersects with White noise, Signal-to-noise ratio, Time–frequency analysis, Additive white Gaussian noise and Artificial intelligence. His study on Nash equilibrium and Optimization problem is often connected to Discrete-time signal and Multiplicative noise as part of broader study in Mathematical optimization. His Computer network research is multidisciplinary, incorporating elements of Wireless network and Distributed computing.

- Optimal designs for space-time linear precoders and decoders (803 citations)
- Redundant filterbank precoders and equalizers. I. Unification and optimal designs (599 citations)
- Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing (565 citations)

Algorithm, Distributed computing, Mathematical optimization, Computer network and Communication channel are his primary areas of study. Sergio Barbarossa is interested in Estimation theory, which is a field of Algorithm. The study incorporates disciplines such as Energy consumption, Wireless sensor network, Computation offloading, Network topology and Mobile cloud computing in addition to Distributed computing.

His study focuses on the intersection of Mathematical optimization and fields such as Distributed algorithm with connections in the field of Asynchronous communication. His Computer network study integrates concerns from other disciplines, such as Wireless network and Transmitter power output. He combines subjects such as Decoding methods, Code division multiple access and Control theory with his study of Communication channel.

- Algorithm (29.77%)
- Distributed computing (17.73%)
- Mathematical optimization (17.73%)

- Edge computing (4.35%)
- Stochastic optimization (3.34%)
- Distributed computing (17.73%)

His primary areas of study are Edge computing, Stochastic optimization, Distributed computing, Computation offloading and Algorithm. His study in Edge computing is interdisciplinary in nature, drawing from both Wireless and Server, Mobile edge computing. The concepts of his Distributed computing study are interwoven with issues in Network planning and design, Efficient energy use, Edge device and Network architecture.

His studies deal with areas such as Energy consumption, Assignment problem, Resource allocation and Base station as well as Computation offloading. Sergio Barbarossa performs integrative study on Algorithm and Grid. His Optimization problem study in the realm of Mathematical optimization connects with subjects such as Task analysis.

- 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication (130 citations)
- Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies (47 citations)
- 6G: The Next Frontier. (44 citations)

- Statistics
- Artificial intelligence
- Telecommunications

Sergio Barbarossa spends much of his time researching Telecommunications network, Algorithm, Graph, Edge computing and Graph. His research integrates issues of Sampling and Topological graph theory in his study of Algorithm. Sergio Barbarossa works mostly in the field of Sampling, limiting it down to concerns involving Least mean squares filter and, occasionally, Signal processing.

In his study, Special case, Vector field, Topology and Network topology is inextricably linked to Simplicial complex, which falls within the broad field of Graph. He interconnects Computer network, Server and Transmitter power output in the investigation of issues within Edge computing. His Computer network research incorporates themes from Assignment problem and Energy consumption.

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.

Optimal designs for space-time linear precoders and decoders

A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis.

IEEE Transactions on Signal Processing **(2002)**

1030 Citations

Redundant filterbank precoders and equalizers. I. Unification and optimal designs

A. Scaglione;G.B. Giannakis;S. Barbarossa.

IEEE Transactions on Signal Processing **(1999)**

907 Citations

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

Stefania Sardellitti;Gesualdo Scutari;Sergio Barbarossa.

ieee transactions on signal and information processing over networks **(2015)**

694 Citations

Analysis of multicomponent LFM signals by a combined Wigner-Hough transform

S. Barbarossa.

IEEE Transactions on Signal Processing **(1995)**

622 Citations

Product high-order ambiguity function for multicomponent polynomial-phase signal modeling

S. Barbarossa;A. Scaglione;G.B. Giannakis.

IEEE Transactions on Signal Processing **(1998)**

441 Citations

Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks

Sergio Barbarossa;Stefania Sardellitti;Paolo Di Lorenzo.

IEEE Signal Processing Magazine **(2014)**

388 Citations

Non-data-aided carrier offset estimators for OFDM with null subcarriers: identifiability, algorithms, and performance

Xiaoli Ma;C. Tepedelenlioglu;G.B. Giannakis;S. Barbarossa.

IEEE Journal on Selected Areas in Communications **(2001)**

342 Citations

Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization

A. Scaglione;G.B. Giannakis;S. Barbarossa.

IEEE Transactions on Signal Processing **(1999)**

331 Citations

Filterbank transceivers optimizing information rate in block transmissions over dispersive channels

A. Scaglione;S. Barbarossa;G.B. Giannakis.

IEEE Transactions on Information Theory **(1999)**

327 Citations

Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria

G. Scutari;D.P. Palomar;S. Barbarossa.

IEEE Transactions on Signal Processing **(2008)**

296 Citations

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Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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