Gesualdo Scutari

10.0k total citations · 3 hit papers
135 papers, 6.1k citations indexed

About

Gesualdo Scutari is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Gesualdo Scutari has authored 135 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Networks and Communications, 67 papers in Electrical and Electronic Engineering and 31 papers in Computational Mechanics. Recurrent topics in Gesualdo Scutari's work include Advanced MIMO Systems Optimization (43 papers), Distributed Control Multi-Agent Systems (38 papers) and Cooperative Communication and Network Coding (37 papers). Gesualdo Scutari is often cited by papers focused on Advanced MIMO Systems Optimization (43 papers), Distributed Control Multi-Agent Systems (38 papers) and Cooperative Communication and Network Coding (37 papers). Gesualdo Scutari collaborates with scholars based in United States, Italy and Hong Kong. Gesualdo Scutari's co-authors include Sergio Barbarossa, Daniel P. Palomar, Francisco Facchinei, Jong‐Shi Pang, Stefania Sardellitti, Paolo Di Lorenzo, Luis G. Ordóñez, J.R. Fonollosa, Italo Atzeni and Lorenzo Lampariello and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Gesualdo Scutari

133 papers receiving 5.9k 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.

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

2015 715 citations Gesualdo Scutari, Sergio Barbarossa et al. profile →
Demand-Side Management via Distributed Energy Generation and Storage Optimization

2012 379 citations Italo Atzeni, Luis G. Ordóñez et al. profile →
NEXT: In-Network Nonconvex Optimization

2016 279 citations Gesualdo Scutari et al. profile →

Peers

Gesualdo Scutari

CNC

EEE

AI

CM

CSE

Soummya Kar United States

Tsung‐Hui Chang China

Mikael Johansson Sweden

John N. Tsitsiklis United States

Anant Sahai United States

Douglas J. Leith Ireland

Minghui Zhu United States

Henrik Sandberg Sweden

Ananthram Swami United States

Michel X. Goemans United States

Soummya Kar United States

Gesualdo Scutari

4.1k ×1.0

CNC

2.9k ×0.8

EEE

1.9k ×2.3

AI

599 ×0.9

CM

2.4k ×4.7

CSE

Citations per year, relative to Gesualdo Scutari Gesualdo Scutari (= 1×) peers Soummya Kar

Countries citing papers authored by Gesualdo Scutari

Since Specialization

Citations

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

Fields of papers citing papers by Gesualdo Scutari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesualdo Scutari

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gasnikov, Alexander, et al.. (2024). Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization. 96011–96044.

2.

Kungurtsev, Vyacheslav, et al.. (2023). Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Transactions on Control of Network Systems. 10(4). 1796–1804. 4 indexed citations

3.

Scutari, Gesualdo, et al.. (2023). A Unified View of Decentralized Algorithms for Sparse Linear Regression. 35. 471–475. 1 indexed citations

4.

Yao, Ji, et al.. (2023). Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. IEEE Transactions on Information Theory. 69(8). 5253–5276. 3 indexed citations

5.

Scutari, Gesualdo, et al.. (2021). Distributed Saddle-Point Problems Under Data Similarity. Neural Information Processing Systems. 34. 7 indexed citations

6.

Facchinei, Francisco, Vyacheslav Kungurtsev, Lorenzo Lampariello, & Gesualdo Scutari. (2021). Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity. Iris (Roma Tre University). 10 indexed citations

7.

Facchinei, Francisco, et al.. (2020). Asynchronous parallel algorithms for nonconvex optimization. IRIS Research product catalog (Sapienza University of Rome). 20 indexed citations

8.

Xu, Jinming, et al.. (2020). Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis.. arXiv (Cornell University). 9 indexed citations

9.

Xu, Jinming, et al.. (2020). Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. International Conference on Artificial Intelligence and Statistics. 2381–2391. 6 indexed citations

10.

Slavakis, Konstantinos, et al.. (2020). Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. 1482–1486. 1 indexed citations

11.

Sun, Ying, et al.. (2019). Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking. arXiv (Cornell University). 21 indexed citations

12.

Nedić, Angelia, Jong‐Shi Pang, Gesualdo Scutari, & Ying Sun. (2018). Multi-agent Optimization. Lecture notes in mathematics. 13 indexed citations

13.

Scutari, Gesualdo, et al.. (2016). D3M: Distributed multi-cell multigroup multicasting. IRIS Research product catalog (Sapienza University of Rome). 3741–3745. 23 indexed citations

14.

Facchinei, Francisco, Simone Sagratella, & Gesualdo Scutari. (2014). Parallel Algorithms for Big Data Optimization. arXiv (Cornell University). 4 indexed citations

15.

Scutari, Gesualdo, Francisco Facchinei, Lorenzo Lampariello, & Peiran Song. (2014). Distributed Methods for Constrained Nonconvex Multi-Agent Optimization-Part I: Theory.. arXiv (Cornell University). 16 indexed citations

16.

Scutari, Gesualdo, et al.. (2013). A New Distributed DC-Programming Method and its Application to Physical Layer Security.. arXiv (Cornell University). 1 indexed citations

17.

Atzeni, Italo, Luis G. Ordóñez, Gesualdo Scutari, Daniel P. Palomar, & J.R. Fonollosa. (2013). Cooperative day-ahead bidding strategies for demand-side expected cost minimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5224–5228. 9 indexed citations

18.

Pang, Jong‐Shi & Gesualdo Scutari. (2011). Nonconvex Games with Side Constraints. SIAM Journal on Optimization. 21(4). 1491–1522. 51 indexed citations

19.

Barbarossa, Sergio, et al.. (2006). Cooperative wireless networks based on distributed space-time coding. IRIS Research product catalog (Sapienza University of Rome). 30–34. 31 indexed citations

20.

Scutari, Gesualdo & Sergio Barbarossa. (2005). Distributed space-time coding for regenerative relay networks. IEEE Transactions on Wireless Communications. 4(5). 2387–2399. 118 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.

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