Khalid El Asnaoui
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Informatics top 2%
- Pulmonary and Respiratory Medicine
- Topics
- Image Retrieval and Classification Techniques (11 papers)Advanced Image and Video Retrieval Techniques (9 papers)Video Analysis and Summarization (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Biomolecular Structure and DynamicsInternational Journal of Multimedia Information Retrieval
- Partner nations
- PortugalMoroccoUnited States
In The Last Decade
Khalid El Asnaoui
15 papers receiving 337 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 273
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 78
- Health Informatics 51
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Khalid El Asnaoui
This map shows the geographic impact of Khalid El Asnaoui'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 El Asnaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid El Asnaoui more than expected).
Fields of papers citing papers by Khalid El Asnaoui
This network shows the impact of papers produced by Khalid El Asnaoui. 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 El Asnaoui. The network helps show where Khalid El Asnaoui may publish in the future.
Co-authorship network of co-authors of Khalid El Asnaoui
This figure shows the co-authorship network connecting the top 25 collaborators of Khalid El Asnaoui. A scholar is included among the top collaborators of Khalid El Asnaoui 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 Khalid El Asnaoui. Khalid El Asnaoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | Using X-ray images and deep learning for automated detection of coronavirus diseasebreakdown → | 256 |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | A Content Based Image Retrieval Approach Based On Color and Shape | 2 |
| 9 | Efficient Use of Texture and Color features in Content Based Image Retrieval (CBIR) | 6 |
| 10 | 1 | |
| 11 | Two New Methods for Image Compression | 2 |
| 12 | 5 | |
| 13 | Color Image Retrieval Based on a two-Dimensional Histogram | 2 |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 7 |
About Khalid El Asnaoui
Khalid El Asnaoui is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (273 citations) and Artificial Intelligence (177 citations). Khalid El Asnaoui has collaborated with scholars based in Portugal, Morocco and United States. Frequent co-authors include Youness Chawki, Mohammed Ouanan, Brahim Aksasse and Petia Radeva. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Biomolecular Structure and Dynamics and International Journal of Multimedia Information Retrieval.
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.