Daniel Sbárbaro

5.0k total citations · 1 hit paper
177 papers, 3.6k citations indexed

About

Daniel Sbárbaro is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel Sbárbaro has authored 177 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Control and Systems Engineering, 33 papers in Electrical and Electronic Engineering and 30 papers in Artificial Intelligence. Recurrent topics in Daniel Sbárbaro's work include Advanced Control Systems Optimization (53 papers), Fault Detection and Control Systems (32 papers) and Control Systems and Identification (27 papers). Daniel Sbárbaro is often cited by papers focused on Advanced Control Systems Optimization (53 papers), Fault Detection and Control Systems (32 papers) and Control Systems and Identification (27 papers). Daniel Sbárbaro collaborates with scholars based in Chile, France and United Kingdom. Daniel Sbárbaro's co-authors include Kate Hunt, P.J. Gawthrop, R. Żbikowski, Kenneth J. Hunt, Héctor Ramírez, Bernhard Maschke, José Espinoza, L. Morán, Sergio Torres and J.M. Gomes da Silva and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Automatic Control and Journal of Cleaner Production.

In The Last Decade

Daniel Sbárbaro

168 papers receiving 3.4k citations

Hit Papers

Neural networks for control systems—A survey 1992 2026 2003 2014 1992 400 800 1.2k
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.

  1. Neural networks for control systems—A survey
    1992 1.3k citations Daniel Sbárbaro, P.J. Gawthrop et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sbárbaro Chile 24 2.4k 1.1k 654 481 210 177 3.6k
Oliver Nelles Germany 24 2.1k 0.9× 1.3k 1.2× 393 0.6× 605 1.3× 235 1.1× 147 3.8k
Nina F. Thornhill United Kingdom 39 3.9k 1.6× 498 0.5× 901 1.4× 1.3k 2.7× 279 1.3× 183 5.2k
Qinghua Zhang France 27 2.8k 1.2× 1.1k 1.0× 303 0.5× 414 0.9× 159 0.8× 132 4.0k
Bjarne Foss Norway 36 2.8k 1.2× 769 0.7× 422 0.6× 1.0k 2.2× 221 1.1× 233 5.0k
Yi Cao United Kingdom 31 2.4k 1.0× 355 0.3× 535 0.8× 892 1.9× 340 1.6× 200 3.7k
Mohamed Nounou Qatar 32 2.1k 0.9× 571 0.5× 631 1.0× 762 1.6× 98 0.5× 228 3.4k
Zhe Wu United States 33 1.8k 0.7× 433 0.4× 373 0.6× 275 0.6× 344 1.6× 166 3.3k
Maria Gabriella Xibilia Italy 25 1.2k 0.5× 832 0.8× 333 0.5× 321 0.7× 232 1.1× 149 2.6k
Shankar Narasimhan India 31 1.8k 0.8× 493 0.4× 315 0.5× 522 1.1× 133 0.6× 130 3.0k
Paul M.J. Van den Hof Netherlands 43 4.9k 2.1× 495 0.4× 334 0.5× 1.8k 3.8× 206 1.0× 315 7.6k

Countries citing papers authored by Daniel Sbárbaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sbárbaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sbárbaro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sbárbaro. A scholar is included among the top collaborators of Daniel Sbárbaro 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 Daniel Sbárbaro. Daniel Sbárbaro 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.
Sbárbaro, Daniel, et al.. (2025). Efficient Energy Management in Seawater Pumping Systems: Solar Hybridization and Storage for Demand Optimization. IEEE Transactions on Industry Applications. 61(2). 1854–1862. 1 indexed citations
2.
Sbárbaro, Daniel, et al.. (2024). Turbidity Control in Sedimentation Columns by Direction-Dependent Models. IEEE Transactions on Control Systems Technology. 33(2). 823–830. 1 indexed citations
3.
Melo, C. A. R. Sá de, Silvia Restrepo, S. Vergara, et al.. (2024). Adaptive-Step Perturb-and-Observe Algorithm for Multidimensional Phase Noise Stabilization in Fiber-Based Multi-Arm Mach–Zehnder Interferometers. Algorithms. 17(12). 534–534.
4.
5.
Fuentes, Rodrigo, et al.. (2022). Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging Data Fusion for improved Mineralogical Analysis of Copper Concentrates. IFAC-PapersOnLine. 55(21). 85–90. 3 indexed citations
6.
Villarroel, Felipe, José Espinoza, Marcelo A. Pérez, et al.. (2021). Stable Shortest Horizon FCS-MPC Output Voltage Control in Non-Minimum Phase Boost-Type Converters Based on Input-State Linearization. IEEE Transactions on Energy Conversion. 36(2). 1378–1391. 34 indexed citations
7.
Behar, Omar, R. Peña, Samir Kouro, et al.. (2021). The use of solar energy in the copper mining processes: A comprehensive review. Cleaner Engineering and Technology. 4. 100259–100259. 32 indexed citations
8.
Myakalwar, Ashwin Kumar, et al.. (2021). Combining prior knowledge with input selection algorithms for quantitative analysis using neural networks in laser induced breakdown spectroscopy. Analytical Methods. 13(9). 1181–1190. 20 indexed citations
9.
10.
Sbárbaro, Daniel, et al.. (2017). Accurate position estimation methods based on electrical impedance tomography measurements. Measurement Science and Technology. 28(8). 84003–84003. 3 indexed citations
11.
Méndez, R. A., Daniel Sbárbaro, & José Espinoza. (2016). High dynamic and static performance FCS-MPC strategy for static power converters. 1–7. 8 indexed citations
12.
Tarbouriech, Sophie, Alexandre Seuret, J.M. Gomes da Silva, & Daniel Sbárbaro. (2016). Observer‐based event‐triggered control co‐design for linear systems. IET Control Theory and Applications. 10(18). 2466–2473. 52 indexed citations
13.
Sbárbaro, Daniel, et al.. (2012). A nonlinear PI controller for optical tweezers system. IFAC Proceedings Volumes. 45(3). 312–316. 1 indexed citations
14.
Sbárbaro, Daniel & Roméo Ortega. (2007). Averaging level control: An approach based on mass balance. Journal of Process Control. 17(7). 621–629. 22 indexed citations
15.
Sbárbaro, Daniel, et al.. (2005). A multi-input-single-output smith predictor for feeders control in SAG grinding plants. IEEE Transactions on Control Systems Technology. 13(6). 1069–1075. 5 indexed citations
16.
Espinoza, José, et al.. (2003). Virtual-sensor-based control of PWM current source rectifiers. 4. 2201–2207. 3 indexed citations
17.
Sbárbaro, Daniel, et al.. (2002). A new approach for tuning PID controllers based on iterative learning. 1. 139–143. 5 indexed citations
18.
Espinoza, José, et al.. (2002). Decoupled control of PWM active-front rectifiers using only DC bus sensing. 4. 2169–2176. 23 indexed citations
19.
Pizarro, Oscar & Daniel Sbárbaro. (1998). Parameter subset identification by recursive least squares. 3590–3591 vol.6. 1 indexed citations
20.
Gawthrop, P.J. & Daniel Sbárbaro. (1990). Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm.. Complex Systems. 4. 6 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 Oliver Nelles Breakdown of academic impact, for papers by Nina F. Thornhill Breakdown of academic impact, for papers by Qinghua Zhang Breakdown of academic impact, for papers by Bjarne Foss Breakdown of academic impact, for papers by Yi Cao Breakdown of academic impact, for papers by Mohamed Nounou Breakdown of academic impact, for papers by Zhe Wu Breakdown of academic impact, for papers by Maria Gabriella Xibilia Breakdown of academic impact, for papers by Shankar Narasimhan Breakdown of academic impact, for papers by Paul M.J. Van den Hof
Rankless by CCL
2026