Djamel Benazzouz

1.1k total citations
78 papers, 756 citations indexed

About

Djamel Benazzouz is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Djamel Benazzouz has authored 78 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 39 papers in Mechanical Engineering and 15 papers in Mechanics of Materials. Recurrent topics in Djamel Benazzouz's work include Machine Fault Diagnosis Techniques (40 papers), Gear and Bearing Dynamics Analysis (35 papers) and Fault Detection and Control Systems (25 papers). Djamel Benazzouz is often cited by papers focused on Machine Fault Diagnosis Techniques (40 papers), Gear and Bearing Dynamics Analysis (35 papers) and Fault Detection and Control Systems (25 papers). Djamel Benazzouz collaborates with scholars based in Algeria, France and United States. Djamel Benazzouz's co-authors include Chemseddine Rahmoune, Belkacem Ould-Bouamama, Mohamed Arezki Mellal, Salima Alem, Laurent Lemarchand, Jean-Philippe Diguet, Eric Bechhoefer, Edward J. Williams, Khaled Benaggoune and Noureddine Zerhouni and has published in prestigious journals such as Renewable Energy, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

In The Last Decade

Djamel Benazzouz

72 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Djamel Benazzouz Algeria 17 495 374 191 65 54 78 756
Alexander E. Prosvirin South Korea 15 514 1.0× 338 0.9× 183 1.0× 45 0.7× 53 1.0× 21 673
Changchang Che China 14 509 1.0× 287 0.8× 193 1.0× 51 0.8× 30 0.6× 30 739
Purushottam Gangsar India 13 734 1.5× 399 1.1× 293 1.5× 124 1.9× 66 1.2× 17 883
Maogui Niu China 7 699 1.4× 423 1.1× 250 1.3× 53 0.8× 37 0.7× 8 803
Daoming She China 12 511 1.0× 297 0.8× 161 0.8× 67 1.0× 35 0.6× 25 674
Jialin Li China 12 490 1.0× 272 0.7× 192 1.0× 78 1.2× 36 0.7× 30 675
Muhammad Sohaib Pakistan 14 459 0.9× 310 0.8× 191 1.0× 65 1.0× 66 1.2× 37 745
Qiuhua Miao China 8 367 0.7× 259 0.7× 132 0.7× 55 0.8× 44 0.8× 19 577
Qinghua Zhang China 12 567 1.1× 301 0.8× 198 1.0× 67 1.0× 22 0.4× 44 728

Countries citing papers authored by Djamel Benazzouz

Since Specialization
Citations

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

Fields of papers citing papers by Djamel Benazzouz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djamel Benazzouz

This figure shows the co-authorship network connecting the top 25 collaborators of Djamel Benazzouz. A scholar is included among the top collaborators of Djamel Benazzouz 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 Djamel Benazzouz. Djamel Benazzouz 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.
Benazzouz, Djamel, et al.. (2024). Intelligent multi-fault identification and classification of defective bearings in gearbox. Advances in Mechanical Engineering. 16(4). 4 indexed citations
2.
Benazzouz, Djamel, et al.. (2024). Performance Evaluation of Feature Extraction and SVM for Brain Tumor Detection Using MRI Images. Traitement du signal. 41(4). 1967–1979.
3.
Rahmoune, Chemseddine, et al.. (2024). Multi-fault bearing diagnosis under time-varying conditions using Empirical Wavelet Transform, Gaussian mixture model, and Random Forest classifier. Advances in Mechanical Engineering. 16(8). 3 indexed citations
4.
Rahmoune, Chemseddine, et al.. (2023). A new health indicator extracted by unsupervised learning using autoencoder in tandem with t-sne and multi-kernel CNN to enhance the early detection and classification of bearings multi-faults. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(7). 6 indexed citations
5.
Rahmoune, Chemseddine, et al.. (2023). Gearbox Fault Diagnosis Using REMD, EO and Machine Learning Classifiers. Journal of Vibration Engineering & Technologies. 12(3). 4673–4697. 9 indexed citations
6.
Rahmoune, Chemseddine, et al.. (2023). Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(10). 12 indexed citations
7.
8.
Rahmoune, Chemseddine, et al.. (2019). Bearing fault diagnosis based on feature extraction of empirical wavelet transform (EWT) and fuzzy logic system (FLS) under variable operating conditions. Journal of Vibroengineering. 21(6). 1636–1650. 28 indexed citations
9.
Rahmoune, Chemseddine, et al.. (2018). Gear fault feature extraction and classification of singular value decomposition based on Hilbert empirical wavelet transform. Journal of Vibroengineering. 20(4). 1603–1618. 10 indexed citations
10.
Benazzouz, Djamel, et al.. (2018). Augmented analytical redundancy relations to improve the fault isolation. Mechatronics. 55. 129–140. 8 indexed citations
11.
Touati, Youcef, Mohamed Arezki Mellal, & Djamel Benazzouz. (2016). Multi-thresholds for fault isolation in the presence of uncertainties. ISA Transactions. 62. 299–311. 7 indexed citations
12.
Rahmoune, Chemseddine, et al.. (2016). Rolling bearing fault diagnosis based empirical wavelet transform using vibration signal. 526–531. 13 indexed citations
13.
Benazzouz, Djamel, et al.. (2014). A new method based on fast Kurtogram for the identification of pitting fault versus crack fault in gearbox systems. Journal of Vibroengineering. 16(6). 2974–2982. 1 indexed citations
14.
Mellal, Mohamed Arezki, et al.. (2013). Optimal Policy for the Replacement of Industrial Systems Subject to Technological Obsolescence – Using Genetic Algorithm. Acta Polytechnica Hungarica. 10(1). 8 indexed citations
15.
Rahmoune, Chemseddine & Djamel Benazzouz. (2013). Monitoring Gear Fault by Using Motor Current Signature Analysis and Fast Kurtogram Method. International Review of Electrical Engineering (IREE). 8(2). 616–625. 3 indexed citations
16.
Alem, Salima & Djamel Benazzouz. (2013). Optimal sensor placement for fault detection and isolation by the structural adjacency matrix. International Journal of the Physical Sciences. 8(6). 225–230. 5 indexed citations
17.
Alem, Salima, et al.. (2013). Structural Analysis for Fault Detection and Isolation Using the Matching Rank Algorithm for Residual Generation: Application on an Industrial Water Heating System. 15(2). 20–29. 3 indexed citations
18.
Benazzouz, Djamel, et al.. (2011). Damage domains of chemically reacting industrial facilities. An adequate identification model for Bhopal‐like scenarios. Asia-Pacific Journal of Chemical Engineering. 7(6). 892–900. 4 indexed citations
19.
20.
Benazzouz, Djamel. (2001). Performance Evaluation of Distributed Memory Multiprocessor Systems. Intelligent Automation & Soft Computing. 7(2). 89–95.

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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