Kaïs Ouni

487 total citations
76 papers, 271 citations indexed

About

Kaïs Ouni is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kaïs Ouni has authored 76 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 29 papers in Artificial Intelligence and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kaïs Ouni's work include Speech and Audio Processing (33 papers), Speech Recognition and Synthesis (24 papers) and Music and Audio Processing (21 papers). Kaïs Ouni is often cited by papers focused on Speech and Audio Processing (33 papers), Speech Recognition and Synthesis (24 papers) and Music and Audio Processing (21 papers). Kaïs Ouni collaborates with scholars based in Tunisia, Saudi Arabia and France. Kaïs Ouni's co-authors include Noureddine Ellouze, Bilel Benjdira, Anis Koubâa, Adel Ammar, R. Ben Salah, R. de la Rosa, Abdulrahman Albakr, Amro Al-Habib, Mohamad Mahmoud Al Rahhal and Slim Ouni and has published in prestigious journals such as International Journal of Hydrogen Energy, IEEE Access and Biomass and Bioenergy.

In The Last Decade

Kaïs Ouni

59 papers receiving 250 citations

Peers

Kaïs Ouni
Kaïs Ouni
Citations per year, relative to Kaïs Ouni Kaïs Ouni (= 1×) peers Swanirbhar Majumder

Countries citing papers authored by Kaïs Ouni

Since Specialization
Citations

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

Fields of papers citing papers by Kaïs Ouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaïs Ouni

This figure shows the co-authorship network connecting the top 25 collaborators of Kaïs Ouni. A scholar is included among the top collaborators of Kaïs Ouni 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 Kaïs Ouni. Kaïs Ouni 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.
Kumar, Abhinav, Lilia El Amraoui, & Kaïs Ouni. (2025). Study of novel hydride perovskites D2CaGeH6 (D = Na, K, Rb, and Cs): Computational designed of materials for hydrogen energy storage technological applications. International Journal of Hydrogen Energy. 176. 151414–151414. 2 indexed citations
2.
Ali, Ali B.M., Lilia El Amraoui, Ravinder Pal Singh, et al.. (2025). A thermodynamic model for co-gasification of Parthenium hysterophorus (weed biomass) and plastic wastes: Assessing syngas quality and energy potential. Biomass and Bioenergy. 205. 108504–108504.
4.
Kumar, Abhinav, Lilia El Amraoui, & Kaïs Ouni. (2025). Study of the physical properties of hydride double perovskite CsD2Nb3H10 (D = Ba and Sr) materials: computational insights for hydrogen storage applications. New Journal of Chemistry. 49(34). 14961–14977. 1 indexed citations
6.
Ouni, Kaïs, et al.. (2024). Pushing the boundaries of deepfake audio detection with a hybrid MFCC and spectral contrast approach. Multimedia Tools and Applications. 84(18). 20249–20268. 3 indexed citations
8.
Ouni, Kaïs, et al.. (2023). A new time–frequency representation based on the tight framelet packet for telephone-band speech coding. Speech Communication. 152. 102954–102954.
9.
Ouni, Kaïs, et al.. (2023). Power Normalized Gammachirp Cepstral (PNGC) coefficients-based approach for robust speaker recognition. Applied Acoustics. 205. 109272–109272. 5 indexed citations
10.
Benjdira, Bilel, Adel Ammar, Anis Koubâa, & Kaïs Ouni. (2020). Data-Efficient Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Generative Adversarial Networks. Applied Sciences. 10(3). 1092–1092. 33 indexed citations
11.
Ouni, Kaïs, et al.. (2018). Enhancement of esophageal speech obtained by a voice conversion technique using time dilated Fourier cepstra. International Journal of Speech Technology. 22(1). 99–110. 9 indexed citations
12.
Salah, R. Ben, et al.. (2016). Determination of cardiovascular parameters from bioimpedance signal. 2. 403–407. 1 indexed citations
13.
Ouni, Kaïs, et al.. (2015). Noise Robust Speech Parameterization using Relative Spectra and Auditory Filterbank. Research Journal of Applied Sciences Engineering and Technology. 9(9). 755–759. 1 indexed citations
14.
Ouni, Kaïs, et al.. (2014). A bio-inspired feature extraction for robust speech recognition. SpringerPlus. 3(1). 651–651. 9 indexed citations
15.
17.
Ouni, Kaïs, et al.. (2010). Implementation of a Speech Coding Strategy for Auditory Implants. The International Arab Journal of Information Technology. 7. 388–394. 1 indexed citations
18.
Ouni, Kaïs, et al.. (2007). Isolated Word Recognition Using Asymmetric Gammachirp Parameters (Special Issue on Nonlinear Circuits and Signal Processing). 11(1). 75–81. 1 indexed citations
19.
Ouni, Kaïs, et al.. (2007). T-Wave Detection Based On An Adjusted Wavelet Transform Modulus Maxima. Zenodo (CERN European Organization for Nuclear Research). 1(3). 200–204. 11 indexed citations
20.
Ouni, Kaïs, et al.. (2005). Realization Of A Psychoacoustic Model For Mpeg 1 Using Gammachirp Wavelet Transform. Zenodo (CERN European Organization for Nuclear Research). 1–4. 3 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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