N. Zerhouni

1.8k total citations · 2 hit papers
25 papers, 1.4k citations indexed

About

N. Zerhouni is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, N. Zerhouni has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 5 papers in Mechanics of Materials. Recurrent topics in N. Zerhouni's work include Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (10 papers) and Engineering Diagnostics and Reliability (5 papers). N. Zerhouni is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Fault Detection and Control Systems (10 papers) and Engineering Diagnostics and Reliability (5 papers). N. Zerhouni collaborates with scholars based in France, Algeria and United Kingdom. N. Zerhouni's co-authors include Kamal Medjaher, Tarak Benkedjouh, Saïd Rechak, Kamal Medjaher, Ahmed Mosallam, Rafael Gouriveau, Daniel Hissel, Simon Morando, Samir Jemeï and Patrick Nectoux and has published in prestigious journals such as International Journal of Hydrogen Energy, Journal of the Franklin Institute and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

N. Zerhouni

24 papers receiving 1.3k citations

Hit Papers

Health assessment and life prediction of cutting tools ba... 2013 2026 2017 2021 2013 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Zerhouni France 14 800 514 340 325 207 25 1.4k
Kamran Javed Pakistan 14 550 0.7× 331 0.6× 269 0.8× 205 0.6× 116 0.6× 36 1.2k
Cheng‐Geng Huang China 21 986 1.2× 540 1.1× 334 1.0× 316 1.0× 107 0.5× 37 1.7k
Van Tung Tran South Korea 13 937 1.2× 491 1.0× 160 0.5× 193 0.6× 114 0.6× 31 1.3k
Joo-Ho Choi South Korea 20 781 1.0× 481 0.9× 176 0.5× 270 0.8× 78 0.4× 114 1.4k
Abdenour Soualhi France 13 1.1k 1.4× 723 1.4× 185 0.5× 175 0.5× 66 0.3× 41 1.5k
Tarak Benkedjouh Algeria 11 570 0.7× 542 1.1× 199 0.6× 166 0.5× 165 0.8× 28 974
Zheng Zhou China 17 888 1.1× 437 0.9× 172 0.5× 186 0.6× 84 0.4× 45 1.3k
Kjell G. Robbersmyr Norway 23 859 1.1× 502 1.0× 467 1.4× 145 0.4× 69 0.3× 127 1.7k
Sheng Xiang China 18 965 1.2× 640 1.2× 137 0.4× 234 0.7× 98 0.5× 40 1.6k

Countries citing papers authored by N. Zerhouni

Since Specialization
Citations

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

Fields of papers citing papers by N. Zerhouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Zerhouni

This figure shows the co-authorship network connecting the top 25 collaborators of N. Zerhouni. A scholar is included among the top collaborators of N. Zerhouni 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 N. Zerhouni. N. Zerhouni 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.
Masry, Zeina Al, et al.. (2021). Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications. Computers in Industry. 127. 103414–103414. 46 indexed citations
2.
Benkedjouh, Tarak, N. Zerhouni, & Saïd Rechak. (2018). Tool wear condition monitoring based on continuous wavelet transform and blind source separation. The International Journal of Advanced Manufacturing Technology. 97(9-12). 3311–3323. 59 indexed citations
3.
Petrone, Raffaele, et al.. (2018). Ageing Integration in PEMFC Range Extender Model for On-Board Prognostic Applications. 42. 1–4. 1 indexed citations
4.
Pahon, Elodie, Simon Morando, Raffaele Petrone, et al.. (2016). Long-term tests duration reduction for PEMFC μ-CHP application. International Journal of Hydrogen Energy. 42(2). 1527–1533. 25 indexed citations
5.
Morando, Simon, Samir Jemeï, Daniel Hissel, Rafael Gouriveau, & N. Zerhouni. (2015). ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network. Mathematics and Computers in Simulation. 131. 283–294. 68 indexed citations
6.
Benkedjouh, Tarak, Kamal Medjaher, N. Zerhouni, & Saïd Rechak. (2013). Health assessment and life prediction of cutting tools based on support vector regression. Journal of Intelligent Manufacturing. 26(2). 213–223. 310 indexed citations breakdown →
7.
Medjaher, Kamal & N. Zerhouni. (2013). Hybrid prognostic method applied to mechatronic systems. The International Journal of Advanced Manufacturing Technology. 69(1-4). 823–834. 33 indexed citations
8.
Camci, Fatih, Kamal Medjaher, N. Zerhouni, & Patrick Nectoux. (2012). Feature Evaluation for Effective Bearing Prognostics. Quality and Reliability Engineering International. 29(4). 477–486. 89 indexed citations
9.
Benkedjouh, Tarak, Kamal Medjaher, N. Zerhouni, & Saïd Rechak. (2012). Fault prognostic of bearings by using support vector data description. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 33 indexed citations
10.
Mosallam, Ahmed, Kamal Medjaher, & N. Zerhouni. (2012). Unsupervised Trend Extraction for Prognostics and Condition Assessment. IFAC Proceedings Volumes. 45(31). 97–102. 7 indexed citations
11.
Chebel‐Morello, Brigitte, et al.. (2011). Feature Selection and Categorization to Design Reliable Fault Detection Systems. Annual Conference of the PHM Society. 3(1). 3 indexed citations
12.
Tobon-Mejia, Diego, Kamal Medjaher, & N. Zerhouni. (2011). CNC machine tool health assessment using Dynamic Bayesian Networks. IFAC Proceedings Volumes. 44(1). 12910–12915. 9 indexed citations
13.
Medjaher, Kamal & N. Zerhouni. (2009). Residual-based failure prognostic in dynamic systems. IFAC Proceedings Volumes. 42(8). 716–721. 22 indexed citations
14.
Gouriveau, Rafael, et al.. (2008). Towards a Neuro-Fuzzy System for Time Series Forecasting in Maintenance Applications. IFAC Proceedings Volumes. 41(2). 12855–12860. 8 indexed citations
15.
Varnier, Christophe, et al.. (2006). Proposition of New Genetic Operator for Solving Joint Production and Maintenance Scheduling: Application to the Flow Shop Problem. HAL (Le Centre pour la Communication Scientifique Directe). 4. 607–613. 1 indexed citations
16.
Chebel‐Morello, Brigitte, et al.. (2003). A genetic algorithm and data mining based meta-heuristic for job shop scheduling problem. vol.7. 6–6. 21 indexed citations
18.
Djennoune, Saïd, et al.. (2002). Digital control design of an optimal regulator of a class of nonlinear singularly perturbed systems. 2. 1755–1760. 2 indexed citations
19.
Djennoune, Saïd, Abdellah El Moudni, & N. Zerhouni. (1998). Stabilization and regulation of a class of nonlinear singularly perturbed systems with discretized composite feedback. International Journal of Systems Science. 29(4). 419–434. 4 indexed citations
20.
Moudni, Abdellah El, et al.. (1996). Reduced order modelling of two-time-scale discrete non-linear systems. Journal of the Franklin Institute. 333(4). 499–512. 5 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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