Mohammed Khalil
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
-
- Advanced Steganography and Watermarking Techniques 12
- Chaos-based Image/Signal Encryption 9
- Digital Media Forensic Detection 6
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- Blind Source Separation Techniques 7
- Speech and Audio Processing 5
- Co-authors
- Abdellah Adib (31 shared papers)Siba K. Samal (1 shared paper)Kenneth C. Earhart (1 shared paper)Baibaswata Nayak (1 shared paper)Sachin Kumar (1 shared paper)Peter L. Collins (1 shared paper)Daniel R. Pérez (1 shared paper)Matthew H. G. Katz (1 shared paper)
- Journals
- Multimedia Tools and Applications (3 papers)Neurocomputing (1 paper)PLoS ONE (1 paper)Digital Signal Processing (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)
- Partner nations
- MoroccoUnited StatesCanada
In The Last Decade
Mohammed Khalil
38 papers receiving 494 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 94
- Cognitive Neuroscience 152
- Computer Vision and Pattern Recognition 118
- Neurology 42
- Human-Computer Interaction 30
Countries citing papers authored by Mohammed Khalil
This map shows the geographic impact of Mohammed Khalil'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 Mohammed Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Khalil more than expected).
Fields of papers citing papers by Mohammed Khalil
This network shows the impact of papers produced by Mohammed Khalil. 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 Mohammed Khalil. The network helps show where Mohammed Khalil may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed Khalil, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2009 | 62 | |
| 3 | 2020 | 43 | |
| 4 | 2018 | 39 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2014 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2019 | 7 | |
| 20 | 2017 | 6 |
About Mohammed Khalil
Mohammed Khalil is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Artificial Intelligence, having authored 40 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), ECG Monitoring and Analysis (11 papers), Chaos-based Image/Signal Encryption (9 papers), EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (7 papers), Digital Media Forensic Detection (6 papers), Speech Recognition and Synthesis (5 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (94 citations), Cognitive Neuroscience (152 citations), Computer Vision and Pattern Recognition (118 citations), Neurology (42 citations) and Human-Computer Interaction (30 citations). Mohammed Khalil has collaborated with scholars based in Morocco, United States and Canada. Frequent co-authors include Abdellah Adib, Siba K. Samal, Kenneth C. Earhart, Baibaswata Nayak, Sachin Kumar, Peter L. Collins, Daniel R. Pérez, Matthew H. G. Katz, Robert A. Wolff and Naveen Garg. Their work appears in journals such as Multimedia Tools and Applications, Neurocomputing, PLoS ONE, Digital Signal Processing and Journal of Cachexia Sarcopenia and Muscle.
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.