Ali Moukadem

708 total citations
29 papers, 502 citations indexed

About

Ali Moukadem is a scholar working on Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ali Moukadem has authored 29 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Control and Systems Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ali Moukadem's work include ECG Monitoring and Analysis (9 papers), Phonocardiography and Auscultation Techniques (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Ali Moukadem is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Phonocardiography and Auscultation Techniques (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Ali Moukadem collaborates with scholars based in France, Algeria and Denmark. Ali Moukadem's co-authors include Alain Dieterlen, Christian Brandt, A. Amirou, Zahia Zidelmal, Djaffar Ould Abdeslam, Jean‐Baptiste Courbot, Bruno Colicchio, Samuel Emil Schmidt, Jawad Hajjam and Amir Hajjam El Hassani and has published in prestigious journals such as Expert Systems with Applications, Energies and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ali Moukadem

27 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Moukadem France 10 190 159 132 117 85 29 502
Syed Zohaib Hassan Naqvi Pakistan 12 64 0.3× 115 0.7× 74 0.6× 58 0.5× 39 0.5× 43 355
Yuxi Zhou China 11 453 2.4× 121 0.8× 132 1.0× 287 2.5× 65 0.8× 24 687
S. Poornachandra India 7 220 1.2× 53 0.3× 96 0.7× 78 0.7× 23 0.3× 26 385
F. Bereksi‐Reguig Algeria 15 424 2.2× 473 3.0× 251 1.9× 165 1.4× 23 0.3× 57 888
Zhonghong Yan China 10 89 0.5× 63 0.4× 93 0.7× 90 0.8× 19 0.2× 16 377
Azzedine Dliou Morocco 11 203 1.1× 38 0.2× 129 1.0× 112 1.0× 17 0.2× 39 382
Heng Zhao China 14 163 0.9× 25 0.2× 555 4.2× 36 0.3× 113 1.3× 43 726
Damodar Panigrahy India 11 218 1.1× 39 0.2× 140 1.1× 105 0.9× 43 0.5× 29 365
Georgy Mihov Bulgaria 8 206 1.1× 32 0.2× 142 1.1× 66 0.6× 56 0.7× 41 309
Jikui Liu China 13 583 3.1× 145 0.9× 387 2.9× 310 2.6× 39 0.5× 31 941

Countries citing papers authored by Ali Moukadem

Since Specialization
Citations

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

Fields of papers citing papers by Ali Moukadem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Moukadem

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Moukadem. A scholar is included among the top collaborators of Ali Moukadem 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 Ali Moukadem. Ali Moukadem 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.
Moukadem, Ali, et al.. (2022). sEMG time–frequency features for hand movements classification. Expert Systems with Applications. 210. 118282–118282. 38 indexed citations
2.
Colicchio, Bruno, et al.. (2021). New Time-Frequency Transient Features for Nonintrusive Load Monitoring. Energies. 14(5). 1437–1437. 15 indexed citations
3.
Moukadem, Ali, et al.. (2020). Time-frequency Features for sEMG Signals Classification. 244–249.
4.
Moukadem, Ali, et al.. (2020). Time-frequency Features for sEMG Signals Classification. HAL (Le Centre pour la Communication Scientifique Directe). 244–249. 6 indexed citations
5.
Moukadem, Ali, et al.. (2018). Time-Frequency Domain for BCG Analysis. SPIRE - Sciences Po Institutional REpository. 226–230. 8 indexed citations
6.
Moukadem, Ali, et al.. (2017). Smart wheelchair: integration of multiple sensors. IOP Conference Series Materials Science and Engineering. 254. 72008–72008. 4 indexed citations
7.
Moukadem, Ali, et al.. (2017). Optimized Stockwell transform for the segmentation of ECG signals. SPIRE - Sciences Po Institutional REpository. 14 (4 .)–14 (4 .). 1 indexed citations
8.
Andrès, Emmanuel, Mohamed Hajjam, Ali Moukadem, et al.. (2016). Expérimentation d’une plateforme de détection automatisée des situations à risque de décompensation cardiaque (plateforme E-care) dans une unité de médecine interne. La Revue de Médecine Interne. 37(9). 587–593. 10 indexed citations
9.
Zidelmal, Zahia, et al.. (2016). S-transform based on compact support kernel. Digital Signal Processing. 62. 137–149. 20 indexed citations
10.
Moukadem, Ali, et al.. (2015). Method for the investigation of the Electromechanical Activity of the Heart using Time-Frequency tools. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
11.
Castro, Ana, Ali Moukadem, Samuel Emil Schmidt, Alain Dieterlen, & Miguel Coimbra. (2015). Analysis of the Electromechanical Activity of the Heart from Synchronized ECG and PCG Signals of Subjects Under Stress. VBN Forskningsportal (Aalborg Universitet). 49–56. 6 indexed citations
12.
Moukadem, Ali, et al.. (2015). A new optimized Stockwell transform applied on synthetic and real non-stationary signals. Digital Signal Processing. 46. 226–238. 74 indexed citations
13.
Moukadem, Ali, Samuel Emil Schmidt, & Alain Dieterlen. (2015). High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine. 2015. 1–15. 7 indexed citations
14.
Moukadem, Ali, et al.. (2014). Stockwell transform optimization applied on the detection of split in heart sounds. SPIRE - Sciences Po Institutional REpository. 5 indexed citations
15.
Adolphe, Dominique, et al.. (2014). New method to characterize the sound-generated fabric friction. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
16.
Andrès, Emmanuel, Samy Talha, Mostafa El Hajjam, et al.. (2014). Projet E-care : déploiement d’un système de détection automatisé des situations à risque de décompensation cardiaque dans une unité de médecine interne. La Revue de Médecine Interne. 35. A42–A43. 1 indexed citations
17.
Zidelmal, Zahia, et al.. (2014). QRS detection using S-Transform and Shannon energy. Computer Methods and Programs in Biomedicine. 116(1). 1–9. 121 indexed citations
18.
Fischer, Bernd, et al.. (2014). Time-frequency representation of terahertz time domain spectroscopy signals based on Stockwell transform. SPIRE - Sciences Po Institutional REpository. 1–2.
19.
Moukadem, Ali, et al.. (2013). A robust heart sounds segmentation module based on S-transform. Biomedical Signal Processing and Control. 8(3). 273–281. 122 indexed citations
20.
Moukadem, Ali, Alain Dieterlen, & Christian Brandt. (2012). STUDY OF TWO FEATURE EXTRACTION METHODS TO DISTINGUISH BETWEEN THE FIRST AND THE SECOND HEART SOUNDS. SPIRE - Sciences Po Institutional REpository. 346–350. 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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