Khalid Daoudi

613 citations
28 papers · 330 · h-index 13

Impact in

Papers in

    • Music and Audio Processing 5
    • Speech and Audio Processing 4
    • Blind Source Separation Techniques 3
    • Neural Networks and Applications 5
    • Speech Recognition and Synthesis 4

Khalid Daoudi

25 papers receiving 314 citations

Peers

Khalid Daoudi
Comparison fields: 5 of 72
  • Signal Processing 67
  • Mathematical Physics 54
  • Oceanography 68
  • Statistical and Nonlinear Physics 47
  • Media Technology 27
Replace Jacopo Grazzini with:
Jacopo Grazzini France
S. M. Prigarin Russia
K. Revathy India
Huaqing Cai United States
Sucharita Ghosh Switzerland
Catherine Gloaguen France
Grace Chan United States
Bernard Garel France
Ethan Anderes United States
V‎. ‎A‎. Menegatto Brazil
Khalid Daoudi relative to Jacopo Grazzini France Jacopo Grazzini's profile →
Citations per field
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Jacopo Grazzini · 1×
Citations per year

Countries citing papers authored by Khalid Daoudi

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Daoudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Khalid Daoudi, 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 Khalid Daoudi Line = papers co-authored together Khalid Daoudi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199758
2 199434
3 201422
4 201421
5 202220
6 200220
7 202015
8 202015
9 201914
10 201913
11 201513
12 201512
13 201112
14 202011
15 201810
16 201910
17 20136
18 20196
19 20026
20 20025

About Khalid Daoudi

Khalid Daoudi is a scholar working on Signal Processing, Artificial Intelligence, Oceanography, Molecular Biology and Statistical and Nonlinear Physics, having authored 28 papers that have together received 330 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (6 papers), Music and Audio Processing (5 papers), Neural Networks and Applications (5 papers), Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (4 papers), Blind Source Separation Techniques (3 papers), Marine and coastal ecosystems (3 papers) and Marine and fisheries research (2 papers). The work is most often cited by research in Signal Processing (67 citations), Mathematical Physics (54 citations), Oceanography (68 citations), Statistical and Nonlinear Physics (47 citations) and Media Technology (27 citations). Khalid Daoudi has collaborated with scholars based in France, Morocco and Czechia. Frequent co-authors include Jacques Lévy Véhel, Hussein Yahia, Yves Meyer, Khalid Minaoui, Évelyne Lutton, Oriol Pont, Jiří Klempíř, Biswajit Das, Jan Rusz and Driss Aboutajdine. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, IEEE Geoscience and Remote Sensing Letters, International Journal of Remote Sensing, Physics of Fluids and Constructive Approximation.

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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