Mohammed Khalil

1.1k citations
51 papers · 625 · h-index 13

Impact in

Papers in

Mohammed Khalil

48 papers receiving 600 citations

Peers

Mohammed Khalil
Comparison fields: 5 of 74
  • Signal Processing 131
  • Cognitive Neuroscience 209
  • Human-Computer Interaction 40
  • Neurology 51
  • Computer Vision and Pattern Recognition 133
Replace Amine Naït‐Ali with:
Amine Naït‐Ali France
Mehmet Akif Özdemir Türkiye
Md. Asadur Rahman Bangladesh
Vinayak K. Bairagi India
Yatindra Kumar India
Mohammad Mikaeili Iran
Maxime Bérar France
Ming Meng China
Young-Seok Choi South Korea
Ajat Shatru Arora India
Mohammed Khalil relative to Amine Naït‐Ali France Amine Naït‐Ali's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed Khalil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mohammed Khalil Line = papers co-authored together Mohammed Khalil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202084
2 200963
3 201845
4 202045
5 202037
6 202134
7 202028
8 201825
9 201921
10 201420
11 202118
12 202217
13 201415
14 201712
15 201811
16 201410
17 201710
18 201910
19 20199
20 20209

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 51 papers that have together received 625 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), ECG Monitoring and Analysis (14 papers), Advanced Steganography and Watermarking Techniques (13 papers), Blind Source Separation Techniques (10 papers), Chaos-based Image/Signal Encryption (10 papers), Speech and Audio Processing (9 papers), Digital Media Forensic Detection (8 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (131 citations), Cognitive Neuroscience (209 citations), Human-Computer Interaction (40 citations), Neurology (51 citations) and Computer Vision and Pattern Recognition (133 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, Daniel R. Pérez, Sachin Kumar, Peter L. Collins, Michael J. Overman, David R. Fogelman and Christopher R. Garrett. Their work appears in journals such as Multimedia Tools and Applications, Neurocomputing, PLoS ONE, Journal of Cachexia Sarcopenia and Muscle and Biomedical Signal Processing and Control.

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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