Achraf Benba

651 total citations
30 papers, 474 citations indexed

About

Achraf Benba is a scholar working on Physiology, Artificial Intelligence and Speech and Hearing. According to data from OpenAlex, Achraf Benba has authored 30 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Artificial Intelligence and 8 papers in Speech and Hearing. Recurrent topics in Achraf Benba's work include Voice and Speech Disorders (16 papers), Speech Recognition and Synthesis (12 papers) and Dysphagia Assessment and Management (8 papers). Achraf Benba is often cited by papers focused on Voice and Speech Disorders (16 papers), Speech Recognition and Synthesis (12 papers) and Dysphagia Assessment and Management (8 papers). Achraf Benba collaborates with scholars based in Morocco, United States and France. Achraf Benba's co-authors include Ahmed Hammouch, Abdelilah Jilbab, Benayad Nsiri, Bouchaib Cherradi and El Mahjoub Chakir and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Multimedia Tools and Applications.

In The Last Decade

Achraf Benba

29 papers receiving 452 citations

Peers

Achraf Benba

PHYSI

NEURO

Jorge A. Gómez-García Spain

Biswajit Karan India

Cenk Demiroğlu Türkiye

Ritu Sindhu India

Kang Ren China

Philipp Klumpp Germany

Roberto Rosas-Romero Mexico

Federica Amato Italy

Patrizia Vizza Italy

T. Kalaycı Türkiye

Jorge A. Gómez-García Spain

Achraf Benba

413 ×1.3

PHYSI

320 ×1.6

239 ×1.3

59 ×0.8

NEURO

100 ×1.4

Citations per year, relative to Achraf Benba Achraf Benba (= 1×) peers Jorge A. Gómez-García

Countries citing papers authored by Achraf Benba

Since Specialization

Citations

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

Fields of papers citing papers by Achraf Benba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achraf Benba

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

All Works

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20 of 20 papers shown

Benba, Achraf, et al.. (2025). Motion detection for patient safety in CT scanner. Results in Engineering. 25. 103938–103938.

Benba, Achraf, et al.. (2024). Comparative Classification of Alzheimer’s Disease. 1–6. 1 indexed citations

Benba, Achraf, et al.. (2023). COMPREHENSIVE MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR PARKINSON'S DISEASE CLASSIFICATION AND SEVERITY ASSESSMENT. SHILAP Revista de lepidopterología. 13(4). 15–20. 5 indexed citations

Benba, Achraf, et al.. (2023). CLASSIFICATION OF PARKINSON’S DISEASE AND OTHER NEUROLOGICAL DISORDERS USING VOICE FEATURES EXTRACTION AND REDUCTION TECHNIQUES. SHILAP Revista de lepidopterología. 13(3). 16–22. 1 indexed citations

Benba, Achraf, et al.. (2021). PlanTech: Early Detection of Plant Disease Based on HWSN Using Deep Learning. 9(3). 162–162. 2 indexed citations

Nsiri, Benayad, et al.. (2020). A hybrid method for the diagnosis and classifying parkinson's patients based on time–frequency domain properties and K-nearest neighbor. Journal of Medical Signals & Sensors. 10(1). 60–60. 17 indexed citations

Benba, Achraf, et al.. (2020). Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection. IET Wireless Sensor Systems. 10(6). 320–332. 16 indexed citations

Benba, Achraf, et al.. (2019). Voice signal processing for detecting possible early signs of Parkinson’s disease in patients with rapid eye movement sleep behavior disorder. International Journal of Speech Technology. 22(1). 121–129. 9 indexed citations

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2017). Voice assessments for detecting patients with neurological diseases using PCA and NPCA. International Journal of Speech Technology. 20(3). 673–683. 10 indexed citations

10.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2017). Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease. IRBM. 38(6). 346–351. 36 indexed citations

11.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2017). Detecting multiple system atrophy, Parkinson and other neurological disorders using voice analysis. International Journal of Speech Technology. 20(2). 281–288. 4 indexed citations

12.

Jilbab, Abdelilah, Achraf Benba, & Ahmed Hammouch. (2017). Quantification system of Parkinson’s disease. International Journal of Speech Technology. 20(1). 143–150. 6 indexed citations

13.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2016). Voice analysis for detecting patients with Parkinson’s disease using the hybridization of the best acoustic features. International Journal on Electrical Engineering and Informatics. 8(1). 108–116. 16 indexed citations

14.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2016). Discriminating Between Patients With Parkinson’s and Neurological Diseases Using Cepstral Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(10). 1100–1108. 91 indexed citations

15.

Benba, Achraf, et al.. (2016). Novel extraction and tumour detection method using histogram study and SVM classification. International Journal of Signal and Imaging Systems Engineering. 9(4/5). 202–202. 1 indexed citations

16.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2015). Detecting Patients with Parkin son’s disease using Mel Frequency Cepstral Coefficients a nd Support Vector Machines. International Journal on Electrical Engineering and Informatics. 7(2). 297–307. 27 indexed citations

17.

Benba, Achraf, Abdelilah Jilbab, & Ahmed Hammouch. (2015). Detecting patients with Parkinson's disease using PLP and VQ. 177–181. 6 indexed citations

18.

Benba, Achraf, et al.. (2015). New tumor detection method using Nl-means filter and histogram study. 12. 1–5. 3 indexed citations

19.

Benba, Achraf, et al.. (2015). Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease. 300–304. 66 indexed citations

20.

Benba, Achraf, et al.. (2015). New Method of Extraction and Tumor Detection Based on a Histogram Study and Support Vector Machine. International Review on Computers and Software (IRECOS). 10(9). 900–900. 1 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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