Vincenzo Matta

3.5k total citations
114 papers, 1.5k citations indexed

About

Vincenzo Matta is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Vincenzo Matta has authored 114 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Networks and Communications, 68 papers in Artificial Intelligence and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Vincenzo Matta's work include Distributed Sensor Networks and Detection Algorithms (66 papers), Target Tracking and Data Fusion in Sensor Networks (49 papers) and Distributed Control Multi-Agent Systems (15 papers). Vincenzo Matta is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (66 papers), Target Tracking and Data Fusion in Sensor Networks (49 papers) and Distributed Control Multi-Agent Systems (15 papers). Vincenzo Matta collaborates with scholars based in Italy, United States and Switzerland. Vincenzo Matta's co-authors include Stefano Maranò, Peter Willett, Paolo Braca, Lang Tong, Ali H. Sayed, Mario Di Mauro, P. Addesso, Kevin D. LePage, M. Longo and Raphaël Liégeois and has published in prestigious journals such as IEEE Transactions on Information Theory, Physical Review A and IEEE Transactions on Signal Processing.

In The Last Decade

Vincenzo Matta

106 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vincenzo Matta Italy 21 1.0k 821 395 155 146 114 1.5k
Adrian N. Bishop Australia 23 1.0k 1.0× 670 0.8× 770 1.9× 314 2.0× 62 0.4× 96 2.0k
Sundeep Prabhakar Chepuri Netherlands 21 502 0.5× 319 0.4× 684 1.7× 113 0.7× 198 1.4× 90 1.4k
Pedro M. Q. Aguiar Portugal 17 408 0.4× 285 0.3× 235 0.6× 64 0.4× 325 2.2× 70 1.2k
Keith Kastella United States 22 714 0.7× 1.2k 1.4× 140 0.4× 79 0.5× 29 0.2× 55 1.5k
Taek Lyul Song South Korea 19 286 0.3× 1.2k 1.5× 379 1.0× 207 1.3× 63 0.4× 126 1.8k
A.B. Premkumar Singapore 18 213 0.2× 704 0.9× 579 1.5× 64 0.4× 87 0.6× 137 1.5k
Ioannis D. Schizas United States 17 1.2k 1.1× 758 0.9× 469 1.2× 34 0.2× 618 4.2× 74 1.9k
Masoud Salehi United States 18 1.2k 1.1× 324 0.4× 1.5k 3.7× 55 0.4× 67 0.5× 78 1.9k
Iickho Song South Korea 22 905 0.9× 288 0.4× 1.1k 2.9× 72 0.5× 142 1.0× 230 1.8k
N. Benvenuto Italy 20 1.2k 1.2× 344 0.4× 1.8k 4.7× 78 0.5× 231 1.6× 133 2.4k

Countries citing papers authored by Vincenzo Matta

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Matta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Matta

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Matta. A scholar is included among the top collaborators of Vincenzo Matta 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 Vincenzo Matta. Vincenzo Matta 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
1.
Matta, Vincenzo, et al.. (2024). Socially Intelligent Networks: A framework for decision making over graphs. IEEE Signal Processing Magazine. 41(4). 20–39. 2 indexed citations
2.
Matta, Vincenzo, et al.. (2023). Memory-Aware Social Learning Under Partial Information Sharing. IEEE Transactions on Signal Processing. 71. 2833–2848. 4 indexed citations
3.
Matta, Vincenzo, et al.. (2023). Compressed Distributed Regression over Adaptive Networks. 1–5. 3 indexed citations
4.
Nassif, Roula, et al.. (2023). Quantization for Decentralized Learning Under Subspace Constraints. IEEE Transactions on Signal Processing. 71. 2320–2335. 21 indexed citations
5.
Matta, Vincenzo, et al.. (2022). Adaptive Diffusion with Compressed Communication. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 5672–5676. 10 indexed citations
6.
Addesso, P., Mauro Barni, Mario Di Mauro, & Vincenzo Matta. (2021). Adversarial Kendall’s Model Towards Containment of Distributed Cyber-Threats. IEEE Transactions on Information Forensics and Security. 16. 3604–3619. 17 indexed citations
7.
Mauro, Mario Di, et al.. (2021). Application-Layer DDOS Attacks with Multiple Emulation Dictionaries. 2610–2614. 6 indexed citations
8.
Addesso, P., et al.. (2019). ADVoIP: Adversarial Detection of Encrypted and Concealed VoIP. IEEE Transactions on Information Forensics and Security. 15. 943–958. 10 indexed citations
9.
Braca, Paolo, Ryan Goldhahn, Kevin D. LePage, et al.. (2014). Cognitive multistatic AUV networks. International Conference on Information Fusion. 1–7. 19 indexed citations
10.
Goldhahn, Ryan, Paolo Braca, Kevin D. LePage, et al.. (2014). Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity. 1458–1462. 7 indexed citations
11.
Braca, Paolo, Kevin D. LePage, Peter Willett, Stefano Maranò, & Vincenzo Matta. (2013). Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity. International Conference on Information Fusion. 266–271. 7 indexed citations
12.
Maranò, Stefano, Vincenzo Matta, & Peter Willett. (2013). Decentralized nearest-neighbor learning over noisy channels: The uncoded way. International Conference on Information Fusion. 426–431. 2 indexed citations
13.
Braca, Paolo, Stefano Maranò, Vincenzo Matta, & Peter Willett. (2012). Multitarget-multisensor ML and PHD: Some asymptotics. International Conference on Information Fusion. 2347–2353. 18 indexed citations
14.
Willett, Peter, et al.. (2012). Predetection Fusion in Large Sensor Networks with Unknown Target Locations.. 7. 61–77. 4 indexed citations
15.
Braca, Paolo, Marco Guerriero, Stefano Maranò, Vincenzo Matta, & Peter Willett. (2010). Selective Measurement Transmission in Distributed Estimation With Data Association. IEEE Transactions on Signal Processing. 58(8). 4311–4321. 16 indexed citations
16.
Braca, Paolo, Marco Guerriero, Stefano Maranò, Vincenzo Matta, & Peter Willett. (2009). Distributed estimation with data association: Is the nearest neighbor the most informative?. International Conference on Information Fusion. 780–785. 1 indexed citations
17.
Braca, Paolo, Stefano Maranò, Vincenzo Matta, & Peter Willett. (2009). Asymptotic Optimality of Running Consensus in Testing Binary Hypotheses. IEEE Transactions on Signal Processing. 58(2). 814–825. 83 indexed citations
18.
Braca, Paolo, Stefano Maranò, & Vincenzo Matta. (2008). Running consensus in wireless sensor networks. International Conference on Information Fusion. 1–6. 48 indexed citations
19.
Guerriero, Marco, Peter Willett, Stefano Maranò, & Vincenzo Matta. (2008). Speedier sequential tests via stochastic resonance. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3901–3904. 3 indexed citations
20.
Maranò, Stefano, Vincenzo Matta, & Peter Willett. (2008). On the divergence-cost function in distributed detection with a secrecy constraint. 1357–1360. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026