Rédouane Seraoui

475 total citations
14 papers, 375 citations indexed

About

Rédouane Seraoui is a scholar working on Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Rédouane Seraoui has authored 14 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 4 papers in Mechanics of Materials and 4 papers in Artificial Intelligence. Recurrent topics in Rédouane Seraoui's work include Fault Detection and Control Systems (13 papers), Nuclear Engineering Thermal-Hydraulics (4 papers) and Engineering Diagnostics and Reliability (4 papers). Rédouane Seraoui is often cited by papers focused on Fault Detection and Control Systems (13 papers), Nuclear Engineering Thermal-Hydraulics (4 papers) and Engineering Diagnostics and Reliability (4 papers). Rédouane Seraoui collaborates with scholars based in Italy, France and United Kingdom. Rédouane Seraoui's co-authors include Enrico Zio, Piero Baraldi, Francesco Di Maio, Valeria Vitelli, Jie Liu, Marco Rigamonti, Sameer Al‐Dahidi and Ahmed Shokry and has published in prestigious journals such as Mechanical Systems and Signal Processing, Applied Soft Computing and IEEE Transactions on Reliability.

In The Last Decade

Rédouane Seraoui

14 papers receiving 366 citations

Peers

Rédouane Seraoui
Önder Uluyol United States
Emine Ayaz Türkiye
Manuel Arias Chao Switzerland
Önder Uluyol United States
Rédouane Seraoui
Citations per year, relative to Rédouane Seraoui Rédouane Seraoui (= 1×) peers Önder Uluyol

Countries citing papers authored by Rédouane Seraoui

Since Specialization
Citations

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

Fields of papers citing papers by Rédouane Seraoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rédouane Seraoui

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

All Works

14 of 14 papers shown
1.
Baraldi, Piero, et al.. (2020). A semi-supervised method for the characterization of degradation of nuclear power plants steam generators. Progress in Nuclear Energy. 131. 103580–103580. 8 indexed citations
2.
Al‐Dahidi, Sameer, Francesco Di Maio, Piero Baraldi, Enrico Zio, & Rédouane Seraoui. (2020). A Novel Ensemble Clustering for Operational Transients Classification with Application to a Nuclear Power Plant Turbine. International Journal of Prognostics and Health Management. 6(3). 6 indexed citations
3.
Al‐Dahidi, Sameer, Francesco Di Maio, Piero Baraldi, Enrico Zio, & Rédouane Seraoui. (2018). A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis. Applied Soft Computing. 69. 213–231. 21 indexed citations
4.
Baraldi, Piero, Francesco Di Maio, Marco Rigamonti, Enrico Zio, & Rédouane Seraoui. (2015). Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients. Mechanical Systems and Signal Processing. 58-59. 160–178. 43 indexed citations
5.
Baraldi, Piero, Francesco Di Maio, Marco Rigamonti, Enrico Zio, & Rédouane Seraoui. (2015). Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine. Journal of Intelligent & Fuzzy Systems. 28(4). 1723–1731. 14 indexed citations
6.
Liu, Jie, Valeria Vitelli, Enrico Zio, & Rédouane Seraoui. (2015). A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. IEEE Transactions on Reliability. 64(4). 1203–1213. 56 indexed citations
7.
Liu, Jie, Valeria Vitelli, Rédouane Seraoui, & Enrico Zio. (2014). Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components. PHM Society European Conference. 2(1). 4 indexed citations
8.
Seraoui, Rédouane, et al.. (2013). Nuclear power plant components condition monitoring by probabilistic support vector machine. SPIRE - Sciences Po Institutional REpository. 4 indexed citations
9.
Liu, Jie, Rédouane Seraoui, Valeria Vitelli, & Enrico Zio. (2013). Nuclear power plant components condition monitoring by probabilistic support vector machine. Annals of Nuclear Energy. 56. 23–33. 66 indexed citations
10.
Maio, Francesco Di, Piero Baraldi, Enrico Zio, & Rédouane Seraoui. (2013). Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods. IEEE Transactions on Reliability. 62(4). 833–845. 68 indexed citations
11.
Baraldi, Piero, et al.. (2012). A Wavelet-Based Approach for Condition Monitoring of a Gas Turbine During Start-Up Transients. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
12.
Baraldi, Piero, et al.. (2012). Condition monitoring of electrical power plant components during operational transients. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 226(6). 568–583. 23 indexed citations
13.
Baraldi, Piero, et al.. (2011). Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components. Integrated Computer-Aided Engineering. 18(3). 221–234. 58 indexed citations
14.
Baraldi, Piero, et al.. (2010). Signal Grouping for Condition Monitoring of Nuclear Power Plant Components. SPIRE - Sciences Po Institutional REpository. 3 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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