Rachid Latif
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Co-authors
- Azzedine DliouWissam JenkalAhmed ToumanariAbdelhafid ElouardiG. MazéAli MouddenBouazza FaizMohamed Elhoseny
- Topics
- ECG Monitoring and Analysis (42 papers)Non-Invasive Vital Sign Monitoring (19 papers)Ultrasonics and Acoustic Wave Propagation (14 papers)
- Cited by
- Cardiology and Cardiovascular MedicineSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityMeasurement Science and Technology
In The Last Decade
Rachid Latif
98 papers receiving 810 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 365
- Biomedical Engineering 309
- Computer Vision and Pattern Recognition 166
- Cognitive Neuroscience 152
- Signal Processing 94
Countries citing papers authored by Rachid Latif
This map shows the geographic impact of Rachid Latif'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 Rachid Latif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachid Latif more than expected).
Fields of papers citing papers by Rachid Latif
This network shows the impact of papers produced by Rachid Latif. 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 Rachid Latif. The network helps show where Rachid Latif may publish in the future.
Co-authorship network of co-authors of Rachid Latif
This figure shows the co-authorship network connecting the top 25 collaborators of Rachid Latif. A scholar is included among the top collaborators of Rachid Latif based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachid Latif. Rachid Latif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | A Reliable QRS Detection Method Based on Dual-Tree Wavelet Transform | 1 |
| 11 | 75 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | Improvement of Fetal Electrocardiogram Extraction by Application of Fuzzy Adaptive Resonance Theory to Adaptive Neural Fuzzy System | 1 |
| 15 | Study of MAC Protocols for Mobile Wireless Body Sensor Networks | 4 |
| 16 | 4 | |
| 17 | Energy Efficient Routing Algorithm in Wireless Sensor Networks | 1 |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 1 |
About Rachid Latif
Rachid Latif is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 105 papers that have together received 843 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (42 papers), Non-Invasive Vital Sign Monitoring (19 papers) and Ultrasonics and Acoustic Wave Propagation (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (365 citations), Signal Processing (94 citations) and Computer Vision and Pattern Recognition (166 citations). Rachid Latif has collaborated with scholars based in Morocco, France and Egypt. Frequent co-authors include Azzedine Dliou, Wissam Jenkal, Ahmed Toumanari, Abdelhafid Elouardi, G. Mazé, Ali Moudden, Bouazza Faiz, Mohamed Elhoseny, Samir Bouaziz and Dominique Décultot. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Measurement Science and Technology.
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.