Francesco Smarra

925 total citations · 1 hit paper
34 papers, 646 citations indexed

About

Francesco Smarra is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Smarra has authored 34 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 15 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Smarra's work include Advanced Control Systems Optimization (9 papers), Building Energy and Comfort Optimization (7 papers) and Stability and Control of Uncertain Systems (7 papers). Francesco Smarra is often cited by papers focused on Advanced Control Systems Optimization (9 papers), Building Energy and Comfort Optimization (7 papers) and Stability and Control of Uncertain Systems (7 papers). Francesco Smarra collaborates with scholars based in Italy, United States and Sweden. Francesco Smarra's co-authors include Alessandro D’Innocenzo, Rahul Mangharam, Achin Jain, Dario Ambrosini, Tullio de Rubeis, Madhur Behl, Maria Domenica Di Benedetto, Fabio Graziosi, Vincenzo Gattulli and Costanzo Manes and has published in prestigious journals such as Automatica, Applied Energy and IEEE Access.

In The Last Decade

Francesco Smarra

30 papers receiving 627 citations

Hit Papers

Data-driven model predict... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Smarra Italy 12 273 270 233 87 82 34 646
Truong X. Nghiem United States 14 254 0.9× 241 0.9× 198 0.8× 75 0.9× 69 0.8× 61 643
Achin Jain United States 12 273 1.0× 281 1.0× 269 1.2× 88 1.0× 26 0.3× 20 645
Steven T. Bushby United States 11 234 0.9× 311 1.2× 149 0.6× 90 1.0× 49 0.6× 31 588
Stefano Pizzuti Italy 14 142 0.5× 356 1.3× 205 0.9× 49 0.6× 35 0.4× 41 693
Marc Baranski Germany 13 154 0.6× 305 1.1× 368 1.6× 124 1.4× 24 0.3× 37 598
Shujiang Li China 15 299 1.1× 195 0.7× 303 1.3× 51 0.6× 102 1.2× 68 867
Josh Wall Australia 11 152 0.6× 452 1.7× 207 0.9× 103 1.2× 39 0.5× 27 706
Saman Taheri United States 14 180 0.7× 379 1.4× 374 1.6× 96 1.1× 22 0.3× 18 832
Guanjing Lin United States 15 185 0.7× 428 1.6× 155 0.7× 92 1.1× 21 0.3× 29 679
A. Pouliezos Greece 12 257 0.9× 154 0.6× 89 0.4× 32 0.4× 38 0.5× 32 557

Countries citing papers authored by Francesco Smarra

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Smarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Smarra

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Smarra. A scholar is included among the top collaborators of Francesco Smarra 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 Francesco Smarra. Francesco Smarra 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.
Smarra, Francesco, et al.. (2025). Optimal control over Markovian wireless communication channels under generalized packet dropout compensation. Automatica. 176. 112240–112240. 1 indexed citations
2.
Smarra, Francesco, et al.. (2025). On the Performance of Geospatial Services Deployment: An Experimental Benchmark Analysis. Journal of Grid Computing. 23(2).
3.
Graziosi, Fabio, et al.. (2024). Queue Modeling for Geospatial Service on Edge-Cloud Architecture. IEEE Networking Letters. 7(1). 36–40.
4.
Smarra, Francesco, et al.. (2023). CADET: Control-Aware Dynamic Edge Computing for Real-Time Target Tracking in UAV Systems. 1–5. 1 indexed citations
5.
Rinaldi, Claudia, et al.. (2022). An Edge-Based Machine Learning-Enabled Approach in Structural Health Monitoring for Public Protection. 45. 125–130. 1 indexed citations
6.
Smarra, Francesco, et al.. (2022). Machine Learning-based Approaches Comparison for Netflix/DAZN Streaming and Real Traffic Prediction. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 3102–3107.
7.
Smarra, Francesco, et al.. (2022). Stability analysis of switched ARX models and application to learning with guarantees. Nonlinear Analysis Hybrid Systems. 46. 101250–101250. 7 indexed citations
8.
Smarra, Francesco, et al.. (2021). A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems. 179–185. 11 indexed citations
9.
Smarra, Francesco, et al.. (2021). On the Stability of Switched ARX Models, with an Application to Learning via Regression Trees. IFAC-PapersOnLine. 54(5). 61–66. 7 indexed citations
10.
Rubeis, Tullio de, Francesco Smarra, Niko Gentile, et al.. (2020). Learning lighting models for optimal control of lighting system via experimental and numerical approach. Science and Technology for the Built Environment. 27(8). 1018–1030. 3 indexed citations
11.
Smarra, Francesco & Alessandro D’Innocenzo. (2020). Learning Markov Jump Affine Systems via Regression Trees for MPC. IFAC-PapersOnLine. 53(2). 5252–5257. 1 indexed citations
12.
Smarra, Francesco, et al.. (2020). An entropy-based sensor selection algorithm for structural damage detection. 587. 1566–1571. 11 indexed citations
13.
Smarra, Francesco, et al.. (2020). A Hardware-in-the-Loop Framework for Urban Mobility Scenarios within the 5G Trial in L’Aquila. 1–4. 1 indexed citations
14.
Smarra, Francesco, Achin Jain, Rahul Mangharam, & Alessandro D’Innocenzo. (2018). Data-driven Switched Affine Modeling for Model Predictive Control. IFAC-PapersOnLine. 51(16). 199–204. 26 indexed citations
15.
Smarra, Francesco, Maria Domenica Di Benedetto, & Alessandro D’Innocenzo. (2018). Efficient routing redundancy design over lossy networks. International Journal of Robust and Nonlinear Control. 28(6). 2574–2597. 2 indexed citations
16.
Jain, Achin, Francesco Smarra, & Rahul Mangharam. (2017). Data predictive control using regression trees and ensemble learning. 4446–4451. 29 indexed citations
17.
D’Innocenzo, Alessandro, Francesco Smarra, & Maria Domenica Di Benedetto. (2015). Further results on fault detection and isolation of malicious nodes in Multi-hop Control Networks. 1860–1865. 1 indexed citations
18.
Smarra, Francesco, Alessandro D’Innocenzo, & Maria Domenica Di Benedetto. (2015). Approximation methods for optimal network coding in a multi-hop control network with packet losses. 1962–1967. 8 indexed citations
19.
Benedetto, Maria Domenica Di, Alessandro D’Innocenzo, & Francesco Smarra. (2014). Fault-tolerant control of a wireless HVAC control system. 235–238. 2 indexed citations
20.
Smarra, Francesco, Alessandro D’Innocenzo, & Maria Domenica Di Benedetto. (2012). Fault Tolerant Stabilizability of MIMO Multi-Hop Control Networks. IFAC Proceedings Volumes. 45(26). 79–84. 7 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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