Khaled Daqrouq
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
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- ECG Monitoring and Analysis
Papers in
-
- Speech and Audio Processing 26
- Blind Source Separation Techniques 12
- Music and Audio Processing 7
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- Speech Recognition and Synthesis 22
- Co-authors
- Mikhled Alfaouri (4 shared papers)J. F. Vargas‐Bonilla (2 shared papers)Elmar Nöth (2 shared papers)Florian Hönig (2 shared papers)Julián D. Arias-Londoño (2 shared papers)Sabine Skodda (2 shared papers)Jan Rusz (2 shared papers)Juan Rafael Orozco‐Arroyave (2 shared papers)
- Journals
- Journal of Applied Sciences (4 papers)American Journal of Applied Sciences (3 papers)Applied Soft Computing (2 papers)Soft Computing (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- Saudi ArabiaJordanGermany
In The Last Decade
Khaled Daqrouq
56 papers receiving 949 citations
Peers
Comparison fields: 5 of 97
- Signal Processing 347
- Cardiology and Cardiovascular Medicine 301
- Artificial Intelligence 316
- Physiology 205
- Cognitive Neuroscience 159
Countries citing papers authored by Khaled Daqrouq
This map shows the geographic impact of Khaled Daqrouq'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 Khaled Daqrouq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Daqrouq more than expected).
Fields of papers citing papers by Khaled Daqrouq
This network shows the impact of papers produced by Khaled Daqrouq. 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 Khaled Daqrouq. The network helps show where Khaled Daqrouq may publish in the future.
Co-authors
The 25 scholars most cited alongside Khaled Daqrouq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 293 | |
| 2 | 2016 | 146 | |
| 3 | 2015 | 94 | |
| 4 | 2014 | 51 | |
| 5 | 2011 | 39 | |
| 6 | 2012 | 34 | |
| 7 | 2014 | 34 | |
| 8 | 2013 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2017 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2022 | 15 | |
| 16 | 2016 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2008 | 10 | |
| 20 | 2010 | 9 |
About Khaled Daqrouq
Khaled Daqrouq is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (26 papers), Speech Recognition and Synthesis (22 papers), ECG Monitoring and Analysis (13 papers), Blind Source Separation Techniques (12 papers), Music and Audio Processing (7 papers), EEG and Brain-Computer Interfaces (5 papers), Fault Detection and Control Systems (5 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Signal Processing (347 citations), Cardiology and Cardiovascular Medicine (301 citations), Artificial Intelligence (316 citations), Physiology (205 citations) and Cognitive Neuroscience (159 citations). Khaled Daqrouq has collaborated with scholars based in Saudi Arabia, Jordan and Germany. Frequent co-authors include Mikhled Alfaouri, J. F. Vargas‐Bonilla, Elmar Nöth, Florian Hönig, Julián D. Arias-Londoño, Sabine Skodda, Jan Rusz, Juan Rafael Orozco‐Arroyave, Tarek A. Tutunji and Ali Morfeq. Their work appears in journals such as Journal of Applied Sciences, American Journal of Applied Sciences, Applied Soft Computing, Soft Computing and Engineering Applications of Artificial Intelligence.
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.