Enzo Baccarelli

3.4k total citations · 1 hit paper
147 papers, 2.6k citations indexed

About

Enzo Baccarelli is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Enzo Baccarelli has authored 147 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Electrical and Electronic Engineering, 95 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in Enzo Baccarelli's work include Advanced Wireless Communication Techniques (44 papers), Advanced MIMO Systems Optimization (30 papers) and Cooperative Communication and Network Coding (29 papers). Enzo Baccarelli is often cited by papers focused on Advanced Wireless Communication Techniques (44 papers), Advanced MIMO Systems Optimization (30 papers) and Cooperative Communication and Network Coding (29 papers). Enzo Baccarelli collaborates with scholars based in Italy, Australia and Sweden. Enzo Baccarelli's co-authors include Mohammad Shojafar, Nicola Cordeschi, Paola G. Vinueza Naranjo, Mauro Biagi, Michele Scarpiniti, Danilo Amendola, Roberto Cusani, Zahra Pooranian, Jemal Abawajy and Habib Mostafaei and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Enzo Baccarelli

136 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

2017 267 citations Enzo Baccarelli, Paola G. Vinueza Naranjo et al. profile →

Peers

Countries citing papers authored by Enzo Baccarelli

Since Specialization

Citations

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

Fields of papers citing papers by Enzo Baccarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enzo Baccarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Enzo Baccarelli. A scholar is included among the top collaborators of Enzo Baccarelli 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 Enzo Baccarelli. Enzo Baccarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study 2022 ·The Journal of Supercomputing ·(unknown), (unknown), Enzo Baccarelli, Michele Scarpiniti, Lorenzo Piazzo	3
2	AFAFed—Asynchronous Fair Adaptive Federated learning for IoT stream applications 2022 ·Computer Communications ·Enzo Baccarelli, Michele Scarpiniti, (unknown), (unknown)	9
3	Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans 2022 ·The Journal of Supercomputing ·(unknown), Lorenzo Piazzo, (unknown), Michele Scarpiniti, Enzo Baccarelli	7
4	A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection 2021 ·Expert Systems with Applications ·Michele Scarpiniti, (unknown), Enzo Baccarelli, Lorenzo Piazzo, (unknown)	28
5	DeepFogSim: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms 2021 ·Applied Sciences ·Michele Scarpiniti, Enzo Baccarelli, (unknown), (unknown)	4
6	Differentiable Branching In Deep Networks for Fast Inference 2020 ·IRIS Research product catalog (Sapienza University of Rome) ·Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini	11
7	FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks 2017 ·The Journal of Supercomputing ·Mohammad Shojafar, Zahra Pooranian, Paola G. Vinueza Naranjo, Enzo Baccarelli	42
8	Minimizing computing-plus-communication energy consumptions in virtualized networked data centers 2016 ·IRIS UNIMORE (University of Modena and Reggio Emilia) ·Mohammad Shojafar, Claudia Canali, Riccardo Lancellotti, Enzo Baccarelli	16
9	A new Stable Election-based routing algorithm to preserve aliveness and energy in fog-supported wireless sensor networks 2016 ·Research Padua Archive (University of Padua) ·Paola G. Vinueza Naranjo, Mohammad Shojafar, Ajith Abraham, Enzo Baccarelli	30
10	Memory and memoryless optimal time-window controllers for secondary users in vehicular networks 2015 ·International Symposium on Performance Evaluation of Computer and Telecommunication Systems ·Nicola Cordeschi, Danilo Amendola, Mohammad Shojafar, Paola G. Vinueza Naranjo, Enzo Baccarelli	4
11	Resource-Management for Vehicular Real-Time Application under Hard Reliability Constraints 2014 ·IRIS Research product catalog (Sapienza University of Rome) ·Nicola Cordeschi, Danilo Amendola, Enzo Baccarelli	8
12	Multipath-Resistant Incoherent Space-Time Codes for IR-UWB MIMO Systems 2007 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Mauro Biagi, (unknown), Nicola Cordeschi	2
13	Multi-Antenna IR-UWB Noncoherent ML Synchronization for Multipath Wideband Channels 2007 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Mauro Biagi, (unknown), Nicola Cordeschi	0
14	PPM-based Orthogonal Space-Time Coding for IR-UWB MIMO channels affected by Poisson-distributed Multipaths 2007 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Mauro Biagi, (unknown), Nicola Cordeschi	2
15	When does interference not reduce capacity in multi-antenna networks? 2005 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Mauro Biagi, (unknown), Nicola Cordeschi, Fabio Garzia	12
16	A Novel Self-Pilot-Based Transmit-Receive Architecture for Multipath-Impaired UWB Systems 2004 ·IEEE Transactions on Communications ·Enzo Baccarelli, Mauro Biagi	11
17	Contracted QoS policies for distributed space division multiple access for "ad-hoc" networks 2004 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Mauro Biagi, (unknown), (unknown)	1
18	A water-filling based approach for power allocation for multiple-antenna Rayleigh flat fading systems with partially coherent detection 2003 ·Enzo Baccarelli, Mauro Biagi	4
19	An approach to blind deconvolution based on second-order "soft" statistics 2002 ·IRIS Research product catalog (Sapienza University of Rome) ·Enzo Baccarelli, Roberto Cusani, Stefano Galli	0
20	On the modelling of GMSK binary transmission over time-variant TDMA/FDD macrocellular radio channels with derotation-based coherent demodulation 2002 ·Enzo Baccarelli, Roberto Cusani, Gabriella Di Blasio, Stefano Galli	5

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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