Jorge I. Poveda

1.1k total citations
71 papers, 764 citations indexed

About

Jorge I. Poveda is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jorge I. Poveda has authored 71 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Control and Systems Engineering, 18 papers in Computer Networks and Communications and 10 papers in Computational Theory and Mathematics. Recurrent topics in Jorge I. Poveda's work include Advanced Control Systems Optimization (33 papers), Extremum Seeking Control Systems (33 papers) and Distributed Control Multi-Agent Systems (15 papers). Jorge I. Poveda is often cited by papers focused on Advanced Control Systems Optimization (33 papers), Extremum Seeking Control Systems (33 papers) and Distributed Control Multi-Agent Systems (15 papers). Jorge I. Poveda collaborates with scholars based in United States, Colombia and Australia. Jorge I. Poveda's co-authors include Andrew R. Teel, Nicanor Quijano, Mouhacine Benosman, Miroslav Krstić, Na Li, Tamer Başar, Kyriakos G. Vamvoudakis, Ricardo G. Sanfelice, Emiliano Dall’Anese and Dragan Nešić and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Jorge I. Poveda

68 papers receiving 731 citations

Peers

Jorge I. Poveda

CSE

CNC

PHEOH

CTM

Paul Frihauf United States

Xiaofeng Zong China

Bao Wang China

Mohamed-Ali Belabbas United States

Francesca Ceragioli Italy

Fenghua He China

J. J. P. Veerman United States

Bo Meng China

Sonia Martínez United States

Nima Monshizadeh Netherlands

Paul Frihauf United States

Jorge I. Poveda

317 ×0.6

CSE

256 ×1.1

CNC

110 ×1.4

PHEOH

66 ×0.9

CTM

29 ×0.5

Citations per year, relative to Jorge I. Poveda Jorge I. Poveda (= 1×) peers Paul Frihauf

Countries citing papers authored by Jorge I. Poveda

Since Specialization

Citations

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

Fields of papers citing papers by Jorge I. Poveda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge I. Poveda. 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 Jorge I. Poveda. The network helps show where Jorge I. Poveda may publish in the future.

Co-authorship network of co-authors of Jorge I. Poveda

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

All Works

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20 of 20 papers shown

Chen, Xudong, et al.. (2025). Deception in Nash Equilibrium Seeking. IEEE Transactions on Automatic Control. 70(12). 7984–7999. 1 indexed citations

Poveda, Jorge I., et al.. (2025). On Lie-Bracket Averaging for Hybrid Dynamical Systems With Applications to Model-Free Control and Optimization. IEEE Transactions on Automatic Control. 70(7). 4655–4670. 1 indexed citations

Poveda, Jorge I., et al.. (2024). On Hybrid Prescribed-Time Concurrent Learning with Switching Datasets. IFAC-PapersOnLine. 58(11). 207–212. 1 indexed citations

Chen, Xudong, et al.. (2024). Decentralized concurrent learning with coordinated momentum and restart. Systems & Control Letters. 193. 105931–105931. 1 indexed citations

Schoenwald, David, et al.. (2024). Non-cooperative games to control learned inverter dynamics of distributed energy resources. Electric Power Systems Research. 234. 110641–110641. 2 indexed citations

Schoenwald, David, et al.. (2024). Fast frequency regulation of virtual power plants via Droop Reset Integral Control (DRIC). Electric Power Systems Research. 235. 110762–110762. 1 indexed citations

Ochoa, Daniel, Nicolás Espitia, & Jorge I. Poveda. (2024). Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach. Systems & Control Letters. 193. 105910–105910. 1 indexed citations

Krstić, Miroslav, et al.. (2024). On Fixed-Time Stability for a Class of Singularly Perturbed Systems Using Composite Lyapunov Functions. 4783–4788.

Ochoa, Daniel, et al.. (2023). Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems. Annual Reviews in Control. 56. 100926–100926. 6 indexed citations

10.

Poveda, Jorge I., Miroslav Krstić, & Tamer Başar. (2022). Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks. IEEE Transactions on Automatic Control. 68(4). 1954–1969. 45 indexed citations

11.

Dall’Anese, Emiliano, et al.. (2022). Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures. Scientific Reports. 12(1). 4731–4731. 6 indexed citations

12.

Mojica‐Nava, Eduardo, Jorge I. Poveda, & Nicanor Quijano. (2022). Stackelberg Population Learning Dynamics. 2022 IEEE 61st Conference on Decision and Control (CDC). 6395–6400. 2 indexed citations

13.

Dall’Anese, Emiliano, et al.. (2022). Feedback-Based Optimization of Power Systems: Resilience to Persistent Attacks. 2022 IEEE 61st Conference on Decision and Control (CDC). 7103–7108. 1 indexed citations

14.

Poveda, Jorge I., Mouhacine Benosman, Andrew R. Teel, & Ricardo G. Sanfelice. (2021). Robust Coordinated Hybrid Source Seeking With Obstacle Avoidance in Multivehicle Autonomous Systems. IEEE Transactions on Automatic Control. 67(2). 706–721. 27 indexed citations

15.

Poveda, Jorge I. & Miroslav Krstić. (2021). Nonsmooth Extremum Seeking Control With User-Prescribed Fixed-Time Convergence. IEEE Transactions on Automatic Control. 66(12). 6156–6163. 30 indexed citations

16.

Poveda, Jorge I., Mouhacine Benosman, & Kyriakos G. Vamvoudakis. (2020). Data‐enabled extremum seeking: A cooperative concurrent learning‐based approach. International Journal of Adaptive Control and Signal Processing. 35(7). 1256–1284. 19 indexed citations

17.

Poveda, Jorge I. & Na Li. (2019). Inducing Uniform Asymptotic Stability in Time-Varying Accelerated Optimization Dynamics via Hybrid Regularization. arXiv (Cornell University). 3 indexed citations

18.

Poveda, Jorge I. & Na Li. (2019). Robust Hybrid Zero-Order Optimization Algorithms with Acceleration via Averaging in Continuous Time. arXiv (Cornell University). 5 indexed citations

19.

Poveda, Jorge I., Mouhacine Benosman, & Andrew R. Teel. (2018). Hybrid online learning control in networked multiagent systems: A survey. International Journal of Adaptive Control and Signal Processing. 33(2). 228–261. 35 indexed citations

20.

Sepúlveda, Ana Rosa, et al.. (2007). Prevention program for disturbed eating and body dissatisfaction in a Spanish university population: A pilot study. Body Image. 4(3). 317–328. 25 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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