Ivano Notarnicola

603 total citations
25 papers, 316 citations indexed

About

Ivano Notarnicola is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ivano Notarnicola has authored 25 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Ivano Notarnicola's work include Distributed Control Multi-Agent Systems (19 papers), Sparse and Compressive Sensing Techniques (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Ivano Notarnicola is often cited by papers focused on Distributed Control Multi-Agent Systems (19 papers), Sparse and Compressive Sensing Techniques (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Ivano Notarnicola collaborates with scholars based in Italy, United Kingdom and Cyprus. Ivano Notarnicola's co-authors include Giuseppe Notarstefano, Francesco Farina, Mauro Franceschelli, Michelangelo Bin, Ruggero Carli, Lorenzo Marconi, Andrea Simonetto, Thomas Parisini, Alessandro Falsone and Zhong‐Ping Jiang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Mathematical Programming.

In The Last Decade

Ivano Notarnicola

23 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivano Notarnicola Italy 10 217 80 69 67 46 25 316
Naoki Hayashi Japan 10 253 1.2× 61 0.8× 62 0.9× 109 1.6× 32 0.7× 58 385
Santiago Paternain United States 10 95 0.4× 124 1.6× 60 0.9× 68 1.0× 49 1.1× 41 307
Bryan Van Scoy United States 7 228 1.1× 89 1.1× 79 1.1× 106 1.6× 37 0.8× 19 359
Ashish Cherukuri Netherlands 9 339 1.6× 42 0.5× 258 3.7× 199 3.0× 32 0.7× 32 601
Xingkang He China 10 278 1.3× 216 2.7× 50 0.7× 221 3.3× 17 0.4× 33 455
Yanbo Gao China 13 251 1.2× 36 0.5× 77 1.1× 132 2.0× 5 0.1× 29 394
Zhongyuan Zhao China 8 126 0.6× 50 0.6× 189 2.7× 188 2.8× 6 0.1× 40 334

Countries citing papers authored by Ivano Notarnicola

Since Specialization
Citations

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

Fields of papers citing papers by Ivano Notarnicola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivano Notarnicola

This figure shows the co-authorship network connecting the top 25 collaborators of Ivano Notarnicola. A scholar is included among the top collaborators of Ivano Notarnicola 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 Ivano Notarnicola. Ivano Notarnicola 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.
Notarnicola, Ivano, et al.. (2025). Sparse Data-Driven LQR via Augmented Lagrangian-Based Policy Search. IEEE Transactions on Control of Network Systems. 13(1). 79–90.
2.
Bin, Michelangelo, Ivano Notarnicola, & Thomas Parisini. (2024). Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization. Mathematical Programming. 208(1-2). 629–660.
3.
Bin, Michelangelo, et al.. (2023). Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 7439–7444. 2 indexed citations
4.
Notarnicola, Ivano, et al.. (2023). On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5047–5052. 2 indexed citations
5.
Notarnicola, Ivano, et al.. (2022). Distributed Primal Decomposition for Large-Scale MILPs. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 18 indexed citations
6.
Notarnicola, Ivano, et al.. (2022). Triggered Gradient Tracking for asynchronous distributed optimization. Automatica. 147. 110726–110726. 11 indexed citations
7.
Notarnicola, Ivano, Andrea Simonetto, Francesco Farina, & Giuseppe Notarstefano. (2022). Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Transactions on Automatic Control. 68(1). 588–595. 14 indexed citations
8.
Farina, Francesco, et al.. (2022). GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Transactions on Control of Network Systems. 10(3). 1436–1448. 21 indexed citations
9.
Notarnicola, Ivano, et al.. (2021). Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control Systems Letters. 6. 644–649. 8 indexed citations
10.
Notarnicola, Ivano & Giuseppe Notarstefano. (2020). Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 53 indexed citations
11.
Bin, Michelangelo, et al.. (2020). Enhanced Gradient Tracking Algorithms for Distributed Quadratic Optimization via Sparse Gain Design. IFAC-PapersOnLine. 53(2). 2696–2701. 5 indexed citations
12.
Farina, Francesco, et al.. (2019). Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6374–6379. 4 indexed citations
13.
Notarstefano, Giuseppe, et al.. (2019). Distributed Optimization for Smart Cyber-Physical Networks. arXiv (Cornell University). 7(3). 253–383. 58 indexed citations
14.
Notarnicola, Ivano, Mauro Franceschelli, & Giuseppe Notarstefano. (2018). A Duality-Based Approach for Distributed Min–Max Optimization. IEEE Transactions on Automatic Control. 64(6). 2559–2566. 17 indexed citations
15.
Notarnicola, Ivano, et al.. (2018). Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4945–4950. 3 indexed citations
16.
Notarnicola, Ivano & Giuseppe Notarstefano. (2017). Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 42 indexed citations
17.
Notarnicola, Ivano, Ruggero Carli, & Giuseppe Notarstefano. (2017). Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Transactions on Control of Network Systems. 5(4). 1910–1919. 19 indexed citations
18.
Notarnicola, Ivano & Giuseppe Notarstefano. (2016). A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 153–158. 3 indexed citations
19.
Notarnicola, Ivano, Mauro Franceschelli, & Giuseppe Notarstefano. (2016). A duality-based approach for distributed min-max optimization with application to demand side management. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1877–1882. 8 indexed citations
20.
Notarnicola, Ivano & Giuseppe Notarstefano. (2015). Randomized dual proximal gradient for large-scale distributed optimization. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3 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

Breakdown of academic impact, for papers by Naoki Hayashi Breakdown of academic impact, for papers by Santiago Paternain Breakdown of academic impact, for papers by Bryan Van Scoy Breakdown of academic impact, for papers by Ashish Cherukuri Breakdown of academic impact, for papers by Xingkang He Breakdown of academic impact, for papers by Yanbo Gao Breakdown of academic impact, for papers by Zhongyuan Zhao
Rankless by CCL
2026