Jinane Harmouche

850 total citations
9 papers, 566 citations indexed

About

Jinane Harmouche is a scholar working on Control and Systems Engineering, Analytical Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Jinane Harmouche has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 3 papers in Analytical Chemistry and 2 papers in Civil and Structural Engineering. Recurrent topics in Jinane Harmouche's work include Fault Detection and Control Systems (5 papers), Spectroscopy and Chemometric Analyses (3 papers) and Machine Fault Diagnosis Techniques (3 papers). Jinane Harmouche is often cited by papers focused on Fault Detection and Control Systems (5 papers), Spectroscopy and Chemometric Analyses (3 papers) and Machine Fault Diagnosis Techniques (3 papers). Jinane Harmouche collaborates with scholars based in France and Canada. Jinane Harmouche's co-authors include Demba Diallo, Claude Delpha, Pierre Borgnat, Dominique Fourer, Patrick Flandrin, François Auger, Yann Le Bihan, Sriram Narasimhan and Jérôme Antoni and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Energy Conversion and Signal Processing.

In The Last Decade

Jinane Harmouche

9 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinane Harmouche France 8 434 240 95 77 74 9 566
YU De-jie China 6 507 1.2× 353 1.5× 153 1.6× 26 0.3× 9 0.1× 13 645
Haiyin Zhou China 13 263 0.6× 116 0.5× 44 0.5× 24 0.3× 26 0.4× 63 552
Yuna Pan China 7 431 1.0× 280 1.2× 146 1.5× 28 0.4× 12 0.2× 9 555
Manish Misra United States 8 351 0.8× 186 0.8× 25 0.3× 137 1.8× 60 0.8× 13 459
Han Xiao China 14 248 0.6× 245 1.0× 247 2.6× 40 0.5× 8 0.1× 27 565
Yuping Cao China 14 385 0.9× 206 0.9× 32 0.3× 106 1.4× 70 0.9× 47 484
Thomas Buchegger Austria 11 221 0.5× 132 0.6× 60 0.6× 14 0.2× 25 0.3× 32 577
Jiongqi Wang China 14 291 0.7× 127 0.5× 47 0.5× 26 0.3× 26 0.4× 79 600
Q. Zhang France 8 536 1.2× 69 0.3× 11 0.1× 14 0.2× 53 0.7× 10 704
Roger F. Dwyer United States 8 304 0.7× 207 0.9× 76 0.8× 12 0.2× 13 0.2× 37 554

Countries citing papers authored by Jinane Harmouche

Since Specialization
Citations

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

Fields of papers citing papers by Jinane Harmouche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinane Harmouche

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

All Works

9 of 9 papers shown
1.
Harmouche, Jinane, et al.. (2019). Mean Shift Clustering-Based Analysis of Nonstationary Vibration Signals for Machinery Diagnostics. IEEE Transactions on Instrumentation and Measurement. 69(7). 4056–4066. 19 indexed citations
2.
Harmouche, Jinane, Dominique Fourer, François Auger, Pierre Borgnat, & Patrick Flandrin. (2017). The Sliding Singular Spectrum Analysis: A Data-Driven Nonstationary Signal Decomposition Tool. IEEE Transactions on Signal Processing. 66(1). 251–263. 99 indexed citations
3.
Harmouche, Jinane, Claude Delpha, Demba Diallo, & Yann Le Bihan. (2016). Statistical Approach for Nondestructive Incipient Crack Detection and Characterization Using Kullback-Leibler Divergence. IEEE Transactions on Reliability. 65(3). 1360–1368. 34 indexed citations
4.
Harmouche, Jinane, Claude Delpha, & Demba Diallo. (2015). Incipient fault amplitude estimation using KL divergence with a probabilistic approach. Signal Processing. 120. 1–7. 32 indexed citations
5.
Harmouche, Jinane, Dominique Fourer, Patrick Flandrin, François Auger, & Pierre Borgnat. (2015). One or Two Components ? The Singular Spectrum Analysis answers. 3 indexed citations
6.
Harmouche, Jinane, Claude Delpha, & Demba Diallo. (2014). Incipient fault detection and diagnosis based on Kullback–Leibler divergence using principal component analysis: Part II. Signal Processing. 109. 334–344. 131 indexed citations
7.
Harmouche, Jinane, Claude Delpha, & Demba Diallo. (2014). Improved Fault Diagnosis of Ball Bearings Based on the Global Spectrum of Vibration Signals. IEEE Transactions on Energy Conversion. 30(1). 376–383. 93 indexed citations
8.
Harmouche, Jinane, Claude Delpha, & Demba Diallo. (2013). Incipient fault detection and diagnosis based on Kullback–Leibler divergence using Principal Component Analysis: Part I. Signal Processing. 94. 278–287. 142 indexed citations
9.
Harmouche, Jinane, Claude Delpha, & Demba Diallo. (2013). A global approach for the classification of bearing faults conditions using spectral features. 7352–7357. 13 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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