Nawal Houhou
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Biomedical Engineering
- Oncology
- Co-authors
- Jean‐Philippe ThiranXavier BressonValérie DuayMeritxell Bach CuadraAbdelkarim S. AllalSubrahmanyam GorthiMinerva BeckerUlrike Schick
- Topics
- Medical Image Segmentation Techniques (11 papers)Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionOtorhinolaryngologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- SwitzerlandUnited StatesRomania
In The Last Decade
Nawal Houhou
12 papers receiving 225 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 154
- Radiology, Nuclear Medicine and Imaging 58
- Artificial Intelligence 45
- Biomedical Engineering 29
- Oncology 26
Countries citing papers authored by Nawal Houhou
This map shows the geographic impact of Nawal Houhou'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 Nawal Houhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nawal Houhou more than expected).
Fields of papers citing papers by Nawal Houhou
This network shows the impact of papers produced by Nawal Houhou. 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 Nawal Houhou. The network helps show where Nawal Houhou may publish in the future.
Co-authorship network of co-authors of Nawal Houhou
This figure shows the co-authorship network connecting the top 25 collaborators of Nawal Houhou. A scholar is included among the top collaborators of Nawal Houhou 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 Nawal Houhou. Nawal Houhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 32 | |
| 3 | 3 | |
| 4 | 46 | |
| 5 | 49 | |
| 6 | Brain surface segmentation of Magnetic Resonance images of the fetus | 3 |
| 7 | 42 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 16 |
About Nawal Houhou
Nawal Houhou is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Neurology, having authored 12 papers that have together received 238 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Otorhinolaryngology (12 citations) and Radiology, Nuclear Medicine and Imaging (58 citations). Nawal Houhou has collaborated with scholars based in Switzerland, United States and Romania. Frequent co-authors include Jean‐Philippe Thiran, Xavier Bresson, Valérie Duay, Meritxell Bach Cuadra, Abdelkarim S. Allal, Subrahmanyam Gorthi, Minerva Becker, Ulrike Schick, Sergiu Nedevschi and O. Cuisenaire. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and IEEE Journal of Selected Topics in Signal Processing.
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.