Mohamed Nounou

4.7k total citations
228 papers, 3.4k citations indexed

About

Mohamed Nounou is a scholar working on Control and Systems Engineering, Analytical Chemistry and Mechanical Engineering. According to data from OpenAlex, Mohamed Nounou has authored 228 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Control and Systems Engineering, 51 papers in Analytical Chemistry and 39 papers in Mechanical Engineering. Recurrent topics in Mohamed Nounou's work include Fault Detection and Control Systems (135 papers), Spectroscopy and Chemometric Analyses (51 papers) and Mineral Processing and Grinding (35 papers). Mohamed Nounou is often cited by papers focused on Fault Detection and Control Systems (135 papers), Spectroscopy and Chemometric Analyses (51 papers) and Mineral Processing and Grinding (35 papers). Mohamed Nounou collaborates with scholars based in Qatar, United States and Tunisia. Mohamed Nounou's co-authors include Hazem Nounou, Majdi Mansouri, Mohamed Faouzi Harkat, Mansour Hajji, Fouzi Harrou, Mohamed Trabelsi, Kamaleldin Abodayeh, Bhavik R. Bakshi, Khaled Dhibi and Abdelmalek Kouadri and has published in prestigious journals such as Bioinformatics, Automatica and IEEE Access.

In The Last Decade

Mohamed Nounou

216 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Nounou Qatar 32 2.1k 762 631 571 560 228 3.4k
Hazem Nounou Qatar 32 2.2k 1.1× 740 1.0× 737 1.2× 634 1.1× 487 0.9× 239 3.5k
Junghui Chen Taiwan 35 3.2k 1.5× 1.7k 2.3× 341 0.5× 590 1.0× 774 1.4× 287 4.8k
Nina F. Thornhill United Kingdom 39 3.9k 1.9× 1.3k 1.7× 901 1.4× 498 0.9× 607 1.1× 183 5.2k
Zhiwen Chen China 32 2.2k 1.1× 1.1k 1.4× 819 1.3× 545 1.0× 401 0.7× 212 3.6k
Weihua Gui China 44 3.9k 1.8× 1.5k 2.0× 863 1.4× 1.3k 2.2× 364 0.7× 293 6.5k
R. Bhushan Gopaluni Canada 30 2.0k 1.0× 410 0.5× 1.1k 1.8× 603 1.1× 128 0.2× 176 3.8k
Shankar Narasimhan India 31 1.8k 0.9× 522 0.7× 315 0.5× 493 0.9× 291 0.5× 130 3.0k
Jie Yu China 30 2.2k 1.1× 1.4k 1.8× 410 0.6× 389 0.7× 791 1.4× 123 3.5k
Lei Xie China 29 2.1k 1.0× 860 1.1× 269 0.4× 382 0.7× 442 0.8× 274 3.0k
Jing Wang China 28 1.4k 0.6× 549 0.7× 1.1k 1.8× 490 0.9× 184 0.3× 316 3.5k

Countries citing papers authored by Mohamed Nounou

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Nounou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Nounou

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Nounou. A scholar is included among the top collaborators of Mohamed Nounou 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 Mohamed Nounou. Mohamed Nounou 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.
Kouadri, Abdelmalek, et al.. (2024). Kernel Principal Component Analysis Improvement based on Data-Reduction via Class Interval. IFAC-PapersOnLine. 58(4). 390–395. 1 indexed citations
2.
Kravaris, Costas, et al.. (2024). Guided experimental design for static nonparametric modeling. Chemical Engineering Science. 298. 120327–120327.
3.
Choudhury, Hanif A., et al.. (2023). Bayesian optimization of multiscale kernel principal component analysis and its application to model Gas-to-liquid (GTL) process data. Energy. 284. 129221–129221. 8 indexed citations
4.
Choudhury, Hanif A., et al.. (2023). Multiscale Bayesian PCA for robust process modeling of a Fischer–Tropsch bench scale process. Chemometrics and Intelligent Laboratory Systems. 240. 104921–104921. 2 indexed citations
5.
Kravaris, Costas, et al.. (2023). Bayesian-optimized Gaussian process-based fault classification in industrial processes. Computers & Chemical Engineering. 170. 108126–108126. 15 indexed citations
6.
Sheriff, M. Ziyan, Mohammad Azizur Rahman, Adolfo Delgado, et al.. (2023). Research on pinhole accidental gas release in pipelines: Statistical modeling, real gas CFD simulation, and validation. Process Safety and Environmental Protection. 176. 786–796. 7 indexed citations
7.
Ashok, Anchu, Stijn Van Daele, Nikolai Nesterenko, et al.. (2023). Forced periodic operation via pulsing and feed switching to address methane dehydroaromatization catalyst deactivation challenge. Process Safety and Environmental Protection. 196. 542–555. 1 indexed citations
8.
Hajji, Mansour, et al.. (2023). Fault detection and diagnosis in grid-connected PV systems under irradiance variations. Energy Reports. 9. 4005–4017. 48 indexed citations
9.
Nounou, Mohamed, et al.. (2022). Quantified Database for Methane Dehydroaromatization Reaction. ChemCatChem. 14(21). 6 indexed citations
10.
Dhibi, Khaled, Majdi Mansouri, Kais Bouzrara, Hazem Nounou, & Mohamed Nounou. (2021). An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems. IEEE Access. 9. 155622–155633. 57 indexed citations
11.
Fezai, Radhia, Kamaleldin Abodayeh, Majdi Mansouri, et al.. (2020). Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS. IEEE Access. 8. 78343–78353. 17 indexed citations
12.
Abodayeh, Kamaleldin, Majdi Mansouri, Mohamed Trabelsi, et al.. (2019). Machine learning-based statistical testing hypothesis for fault detection in photovoltaic systems. Solar Energy. 190. 405–413. 87 indexed citations
13.
Mansouri, Majdi, et al.. (2018). Monitoring biological processes using univariate statistical process control. The Canadian Journal of Chemical Engineering. 97(4). 859–868. 2 indexed citations
14.
Harkat, Mohamed Faouzi, Majdi Mansouri, Mohamed Nounou, & Hazem Nounou. (2017). Enhanced data validation strategy of air quality monitoring network. Environmental Research. 160. 183–194. 35 indexed citations
15.
Mansouri, Majdi, Hazem Nounou, & Mohamed Nounou. (2014). State estimation and application to induction machines - A comparative study. 3. 1–6. 3 indexed citations
16.
Mansouri, Majdi, Hazem Nounou, & Mohamed Nounou. (2014). Kullback-Leibler divergence -based improved particle filter. 1–6. 3 indexed citations
17.
Vangelista, Lorenzo, et al.. (2013). A distributed algorithm for network-wide clock synchronization in wireless sensor networks. Research Padua Archive (University of Padua). 1037–1043. 2 indexed citations
18.
Nounou, Mohamed, Hazem Nounou, & Ahmed Abdel‐Wahab. (2009). Improved Estimation of the Langmuir Adsorption Isotherm Using Multiscale Filtering. Separation Science and Technology. 44(11). 2510–2525. 1 indexed citations
19.
Nounou, Mohamed, et al.. (2001). Proceedings of the American Control Conference. American Control Conference. 12 indexed citations
20.
Nounou, Mohamed. (2000). Multiscale bayesian linear modeling and applications /. OhioLink ETD Center (Ohio Library and Information Network). 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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