Boumediene Hamzi

798 total citations
59 papers, 472 citations indexed

About

Boumediene Hamzi is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Boumediene Hamzi has authored 59 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistical and Nonlinear Physics, 23 papers in Control and Systems Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Boumediene Hamzi's work include Model Reduction and Neural Networks (20 papers), Advanced Differential Equations and Dynamical Systems (13 papers) and Chaos control and synchronization (11 papers). Boumediene Hamzi is often cited by papers focused on Model Reduction and Neural Networks (20 papers), Advanced Differential Equations and Dynamical Systems (13 papers) and Chaos control and synchronization (11 papers). Boumediene Hamzi collaborates with scholars based in United States, United Kingdom and Kuwait. Boumediene Hamzi's co-authors include Houman Owhadi, Wei Kang, Arthur J. Krener, Laurent Praly, Stefan Klus, Feliks Nüske, Jean‐Pierre Barbot, Eyad H. Abed, Romit Maulik and S. Monaco and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Physica D Nonlinear Phenomena.

In The Last Decade

Boumediene Hamzi

55 papers receiving 456 citations

Peers

Boumediene Hamzi

SNP

CSE

SPU

Peter Giesl United Kingdom

Sigurður Hafstein Iceland

J. F. Barrett United Kingdom

Dazhi Zhao China

Daniel Cobb United States

Amol Sasane United Kingdom

Haijun Wang China

David Kelly Canada

Samy Wu Fung United States

Bijan Afsari United States

Peter Giesl United Kingdom

Boumediene Hamzi

286 ×1.1

SNP

53 ×0.4

537 ×3.8

CSE

32 ×0.4

SPU

59 ×0.9

Citations per year, relative to Boumediene Hamzi Boumediene Hamzi (= 1×) peers Peter Giesl

Countries citing papers authored by Boumediene Hamzi

Since Specialization

Citations

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

Fields of papers citing papers by Boumediene Hamzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boumediene Hamzi

This figure shows the co-authorship network connecting the top 25 collaborators of Boumediene Hamzi. A scholar is included among the top collaborators of Boumediene Hamzi 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 Boumediene Hamzi. Boumediene Hamzi 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

Ali, Amira Mohammed, et al.. (2025). Hypertension control in resource-constrained settings: Bridging socioeconomic gaps with predictive insights. International Journal of Cardiology Cardiovascular Risk and Prevention. 27. 200472–200472.

Lee, Jong‐Hyeon, Boumediene Hamzi, Yannis Kevrekidis, & Houman Owhadi. (2025). Gaussian Processes simplify differential equations. Physica D Nonlinear Phenomena. 483. 134988–134988.

Hamzi, Boumediene, et al.. (2025). Kernel Sum of Squares for data adapted kernel learning of dynamical systems from data: A global optimization approach. Physica D Nonlinear Phenomena. 478. 134693–134693.

Hamzi, Boumediene, Marcus Hütter, & Houman Owhadi. (2025). Bridging Algorithmic Information Theory and Machine Learning: Clustering, density estimation, Kolmogorov complexity-based kernels, and kernel learning in unsupervised learning. Physica D Nonlinear Phenomena. 476. 134669–134669. 1 indexed citations

Hamzi, Boumediene, et al.. (2025). Learning dynamical systems from data: A simple cross-validation perspective, part II: Nonparametric kernel flows. Physica D Nonlinear Phenomena. 476. 134641–134641. 2 indexed citations

Lee, Jong‐Hyeon, et al.. (2025). Kernel methods for the approximation of the eigenfunctions of the Koopman operator. Physica D Nonlinear Phenomena. 476. 134662–134662.

Grigoryeva, Lyudmila, et al.. (2024). Data-driven cold starting of good reservoirs. Physica D Nonlinear Phenomena. 469. 134325–134325. 3 indexed citations

Hamzi, Boumediene, et al.. (2024). Innovative Machine Learning Strategies for Early Detection and Prevention of Pregnancy Loss: The Vitamin D Connection and Gestational Health. Diagnostics. 14(9). 920–920. 1 indexed citations

Sun, Xiuwen, et al.. (2024). Learning dynamical systems from data: A simple cross-validation perspective, Part V: Sparse Kernel Flows for 132 chaotic dynamical systems. Physica D Nonlinear Phenomena. 460. 134070–134070. 9 indexed citations

10.

Hamzi, Boumediene, et al.. (2024). Enhancing Clinical Validation for Early Cardiovascular Disease Prediction through Simulation, AI, and Web Technology. Diagnostics. 14(12). 1308–1308. 4 indexed citations

11.

Hamzi, Boumediene & Kamaludin Dingle. (2024). Simplicity bias, algorithmic probability, and the random logistic map. Physica D Nonlinear Phenomena. 463. 134160–134160. 3 indexed citations

12.

Lee, Esther, et al.. (2024). AI-Driven Thoracic X-ray Diagnostics: Transformative Transfer Learning for Clinical Validation in Pulmonary Radiography. Journal of Personalized Medicine. 14(8). 856–856. 5 indexed citations

13.

Hamzi, Boumediene, et al.. (2023). The infinite level normal forms for non-resonant double Hopf singularities. Systems & Control Letters. 176. 105529–105529. 1 indexed citations

14.

Hamzi, Boumediene, et al.. (2022). One-shot learning of stochastic differential equations with data adapted kernels. Physica D Nonlinear Phenomena. 444. 133583–133583. 17 indexed citations

15.

Hamzi, Boumediene, et al.. (2020). Approximation of Lyapunov functions from noisy data. Sussex Research Online (University of Sussex). 25 indexed citations

16.

Hamzi, Boumediene, et al.. (2018). Kernel Methods and the Maximum Mean Discrepancy for Seizure Detection. 1–6. 1 indexed citations

17.

Hamzi, Boumediene, Jeroen S. W. Lamb, & Debra Lewis. (2014). A Characterization of Normal Forms for Control Systems. Journal of Dynamical and Control Systems. 21(2). 273–284. 6 indexed citations

18.

Hamzi, Boumediene, Wei Kang, & Jean‐Pierre Barbot. (2004). Analysis and Control of Hopf Bifurcations. SIAM Journal on Control and Optimization. 42(6). 2200–2220. 31 indexed citations

19.

Hamzi, Boumediene, J.P. Barbot, & Wei Kang. (2003). Normal forms for discrete time parameterized systems with uncontrollable linearization. 2. 2035–2038. 7 indexed citations

20.

Hamzi, Boumediene, Salim Labiod, Djamel Boukhetala, & Farès Boudjema. (1997). Supervised Control Using Dynamical Neural Networks with Application to an Inverted Pendulum. IFAC Proceedings Volumes. 30(6). 1035–1040. 1 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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