Bartolomeo Stellato

2.4k total citations · 1 hit paper
30 papers, 1.3k citations indexed

About

Bartolomeo Stellato is a scholar working on Numerical Analysis, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Bartolomeo Stellato has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Numerical Analysis, 8 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Bartolomeo Stellato's work include Advanced Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). Bartolomeo Stellato is often cited by papers focused on Advanced Optimization Algorithms Research (8 papers), Advanced Control Systems Optimization (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). Bartolomeo Stellato collaborates with scholars based in United States, United Kingdom and Italy. Bartolomeo Stellato's co-authors include Paul J. Goulart, Goran Banjac, Stephen Boyd, Alberto Bemporad, Dimitris Bertsimas, Tobias Geyer, Luca Mingardi, Sina Ober‐Blöbaum, S. T. P. Boyd and Holly Wiberg and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Bartolomeo Stellato

28 papers receiving 1.3k citations

Hit Papers

OSQP: an operator splitti... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bartolomeo Stellato United States 12 601 249 227 161 149 30 1.3k
Goran Banjac Switzerland 10 460 0.8× 131 0.5× 207 0.9× 132 0.8× 112 0.8× 37 996
Andreas Potschka Germany 10 729 1.2× 120 0.5× 160 0.7× 164 1.0× 62 0.4× 33 1.1k
Timm Faulwasser Germany 26 1.5k 2.4× 550 2.2× 254 1.1× 161 1.0× 108 0.7× 148 2.3k
Ubaid M. Al‐Saggaf Saudi Arabia 24 774 1.3× 278 1.1× 118 0.5× 37 0.2× 144 1.0× 122 1.8k
Mario Zanon Italy 26 1.6k 2.6× 322 1.3× 291 1.3× 628 3.9× 201 1.3× 87 2.2k
Zhigang Ren China 18 484 0.8× 311 1.2× 135 0.6× 57 0.4× 181 1.2× 128 1.3k
Jean‐Pierre Barbot France 22 902 1.5× 286 1.1× 97 0.4× 117 0.7× 113 0.8× 109 1.4k
Elaine Hale United States 14 218 0.4× 415 1.7× 271 1.2× 77 0.5× 76 0.5× 41 1.3k
Naser Pariz Iran 22 1.0k 1.7× 449 1.8× 135 0.6× 61 0.4× 327 2.2× 135 2.1k
Matthias Gerdts Germany 19 573 1.0× 94 0.4× 145 0.6× 194 1.2× 72 0.5× 101 1.3k

Countries citing papers authored by Bartolomeo Stellato

Since Specialization
Citations

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

Fields of papers citing papers by Bartolomeo Stellato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartolomeo Stellato

This figure shows the co-authorship network connecting the top 25 collaborators of Bartolomeo Stellato. A scholar is included among the top collaborators of Bartolomeo Stellato 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 Bartolomeo Stellato. Bartolomeo Stellato 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.
Stellato, Bartolomeo, et al.. (2025). A neural network-based approach to hybrid systems identification for control. Automatica. 174. 112130–112130.
2.
Pinto, Alessandro, et al.. (2024). Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems. 5552–5557. 1 indexed citations
3.
Bertsimas, Dimitris, et al.. (2024). The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization. RePEc: Research Papers in Economics. 7(2). 105–141. 2 indexed citations
4.
Parys, Bart P. G. Van, et al.. (2024). Mean robust optimization. Mathematical Programming. 213(1-2). 1235–1277. 3 indexed citations
5.
Wang, Maolin, Bartolomeo Stellato, Fengbin Tu, et al.. (2024). Multi-Issue Butterfly Architecture for Sparse Convex Quadratic Programming. Spiral (Imperial College London). 1574–1587.
6.
Stellato, Bartolomeo, et al.. (2024). Frontiers in Operations: Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic. Manufacturing & Service Operations Management. 26(4). 1229–1244. 2 indexed citations
7.
Wang, Maolin, et al.. (2023). RSQP: Problem-specific Architectural Customization for Accelerated Convex Quadratic Optimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–12. 5 indexed citations
8.
Bertsimas, Dimitris & Bartolomeo Stellato. (2022). Online Mixed-Integer Optimization in Milliseconds. INFORMS journal on computing. 34(4). 2229–2248. 39 indexed citations
9.
Banjac, Goran, et al.. (2022). Embedded Code Generation With CVXPY. IEEE Control Systems Letters. 6. 2653–2658. 9 indexed citations
10.
Bertsimas, Dimitris, Luca Mingardi, Omid Nohadani, et al.. (2021). Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients. Health Care Management Science. 24(2). 339–355. 6 indexed citations
11.
Bertsimas, Dimitris, Luca Mingardi, & Bartolomeo Stellato. (2021). Machine Learning for Real-Time Heart Disease Prediction. IEEE Journal of Biomedical and Health Informatics. 25(9). 3627–3637. 58 indexed citations
12.
Cauligi, Abhishek, et al.. (2021). CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics and Automation Letters. 7(2). 1447–1454. 25 indexed citations
13.
Bertsimas, Dimitris, Galit Lukin, Luca Mingardi, et al.. (2020). COVID-19 mortality risk assessment: An international multi-center study. PLoS ONE. 15(12). e0243262–e0243262. 113 indexed citations
14.
Stellato, Bartolomeo, Goran Banjac, Paul J. Goulart, Alberto Bemporad, & Stephen Boyd. (2020). OSQP: an operator splitting solver for quadratic programs. Mathematical Programming Computation. 12(4). 637–672. 643 indexed citations breakdown →
15.
Cauligi, Abhishek, et al.. (2020). Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. 1698–1705. 18 indexed citations
16.
Stellato, Bartolomeo, Goran Banjac, Paul J. Goulart, & Stephen Boyd. (2019). Quadratic Programming Solver using the 'OSQP' Library [R package osqp version 0.6.0.3]. 2 indexed citations
17.
Banjac, Goran, Paul J. Goulart, Bartolomeo Stellato, & Stephen Boyd. (2018). Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. Repository for Publications and Research Data (ETH Zurich). 340–340. 9 indexed citations
18.
Banjac, Goran, et al.. (2017). Embedded code generation using the OSQP solver. 1906–1911. 32 indexed citations
19.
Stellato, Bartolomeo & Paul J. Goulart. (2016). Real-time FPGA implementation of direct MPC for power electronics. 1471–1476. 5 indexed citations
20.
Stellato, Bartolomeo & Paul J. Goulart. (2016). High-speed direct model predictive control for power electronics. 129–134. 2 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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