Achraf Benba

30 papers receiving 482 citations

Peers

Achraf Benba
Comparison fields: 5 of 62
  • Signal Processing 179
  • Physiology 330
  • Speech and Hearing 67
  • Artificial Intelligence 194
  • Neurology 79
Replace Tomás Arias‐Vergara with:
Tomás Arias‐Vergara Germany
Hatice Nizam Ozogur Türkiye
Daria Hemmerling Poland
Cenk Demiroğlu Türkiye
Biswajit Karan India
Kang Ren China
Jorge A. Gómez-García Spain
Ritu Sindhu India
Virgilijus Uloza Lithuania
Roberto Rosas-Romero Mexico
Achraf Benba relative to Tomás Arias‐Vergara Germany Tomás Arias‐Vergara's profile →
Citations per field
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Tomás Arias‐Vergara · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Achraf Benba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Achraf Benba Line = papers co-authored together Achraf Benba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201569
3 201657
4 201740
5 201527
6 201626
7 201424
8 201924
9 202018
10 202417
11 202017
12 201616
13 201711
14 20199
15 20238
16 20177
17 20167
18 20156
19 20234
20 20174

About Achraf Benba

Achraf Benba is a scholar working on Physiology, Artificial Intelligence, Speech and Hearing, Signal Processing and Neurology, having authored 36 papers that have together received 503 indexed citations. Recurring topics across this work include Voice and Speech Disorders (20 papers), Speech Recognition and Synthesis (13 papers), Dysphagia Assessment and Management (9 papers), Brain Tumor Detection and Classification (6 papers), Neurological disorders and treatments (4 papers), Music and Audio Processing (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (179 citations), Physiology (330 citations), Speech and Hearing (67 citations), Artificial Intelligence (194 citations) and Neurology (79 citations). Achraf Benba has collaborated with scholars based in Morocco, United States and Malaysia. Frequent co-authors include Ahmed Hammouch, Abdelilah Jilbab, Benayad Nsiri, Hasna Nhaila, Bouchaib Cherradi, Latifa Doudach, Youssef Bakri, Taoufiq Fechtali, Yahia Cherrah and El Mahjoub Chakir. Their work appears in journals such as International Journal of Speech Technology, Intelligence-Based Medicine, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Multimedia Tools and Applications and IET Wireless Sensor Systems.

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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