Kaïs Ouni

518 citations
81 papers · 295 · h-index 10

Impact in

Papers in

Kaïs Ouni

64 papers receiving 278 citations

Peers

Kaïs Ouni
Comparison fields: 5 of 69
  • Signal Processing 107
  • Computer Vision and Pattern Recognition 70
  • Cardiology and Cardiovascular Medicine 65
  • Artificial Intelligence 99
  • Cognitive Neuroscience 48
Replace Swanirbhar Majumder with:
Swanirbhar Majumder India
Musab Coşkun Türkiye
Ruban Nersisson India
P. Dhanalakshmi India
Y. Padma Sai India
Mahesh S. Chavan India
Bilei Zhu China
Sibghatullah I. Khan India
N. Malmurugan India
Kaïs Ouni relative to Swanirbhar Majumder India Swanirbhar Majumder's profile →
Citations per field
00.5×3.5×
Swanirbhar Majumder · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kaïs Ouni, 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 Kaïs Ouni Line = papers co-authored together Kaïs Ouni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202020
3 200918
4 201915
5 200814
6 201613
7 200613
8 200711
9 20189
10 20149
11 20048
12 20237
13 20246
14 20166
15 20206
16 20175
17 20235
18 20205
19 20254
20 20224

About Kaïs Ouni

Kaïs Ouni is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 81 papers that have together received 295 indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Speech Recognition and Synthesis (26 papers), Music and Audio Processing (20 papers), ECG Monitoring and Analysis (11 papers), Image and Signal Denoising Methods (10 papers), Face and Expression Recognition (7 papers), Blind Source Separation Techniques (7 papers) and Advanced Data Compression Techniques (6 papers). The work is most often cited by research in Signal Processing (107 citations), Computer Vision and Pattern Recognition (70 citations), Cardiology and Cardiovascular Medicine (65 citations), Artificial Intelligence (99 citations) and Cognitive Neuroscience (48 citations). Kaïs Ouni has collaborated with scholars based in Tunisia, Saudi Arabia and India. Frequent co-authors include Noureddine Ellouze, Anis Koubâa, Bilel Benjdira, Adel Ammar, R. Ben Salah, Lilia El Amraoui, Mohamad Mahmoud Al Rahhal, Amro Al-Habib, Abdulrahman Albakr and Abhinav Kumar. Their work appears in journals such as International Journal of Hydrogen Energy, New Journal of Chemistry, Multimedia Tools and Applications, Applied Sciences and Applied Acoustics.

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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