Walid Barhoumi
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Image Retrieval and Classification Techniques 34
- Advanced Image and Video Retrieval Techniques 28
- Medical Image Segmentation Techniques 18
- Face and Expression Recognition 14
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- AI in cancer detection 29
- Co-authors
- Ezzeddine Zagrouba (46 shared papers)Haythem Ghazouani (26 shared papers)Sami Dhahbi (8 shared papers)Bartosz Świderski (6 shared papers)Michał Kruk (6 shared papers)Jarosław Kurek (5 shared papers)S. Osowski (4 shared papers)Amr Ahmed (2 shared papers)
In The Last Decade
Walid Barhoumi
117 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 569
- Artificial Intelligence 468
- Neurology 89
- Radiology, Nuclear Medicine and Imaging 232
- Experimental and Cognitive Psychology 119
Countries citing papers authored by Walid Barhoumi
This map shows the geographic impact of Walid Barhoumi'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 Walid Barhoumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Barhoumi more than expected).
Fields of papers citing papers by Walid Barhoumi
This network shows the impact of papers produced by Walid Barhoumi. 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 Walid Barhoumi. The network helps show where Walid Barhoumi may publish in the future.
Co-authors
The 25 scholars most cited alongside Walid Barhoumi, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 94 | |
| 2 | 2018 | 77 | |
| 3 | 2016 | 54 | |
| 4 | 2017 | 51 | |
| 5 | 2018 | 47 | |
| 6 | 2019 | 45 | |
| 7 | 2007 | 45 | |
| 8 | 2011 | 44 | |
| 9 | 2020 | 38 | |
| 10 | 2021 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2021 | 32 | |
| 13 | 2017 | 30 | |
| 14 | 2017 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 25 | |
| 17 | 2018 | 25 | |
| 18 | 2018 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2005 | 19 |
About Walid Barhoumi
Walid Barhoumi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Experimental and Cognitive Psychology, having authored 129 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (34 papers), AI in cancer detection (29 papers), Advanced Image and Video Retrieval Techniques (28 papers), Medical Image Segmentation Techniques (18 papers), Face and Expression Recognition (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Cutaneous Melanoma Detection and Management (12 papers) and Emotion and Mood Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Artificial Intelligence (468 citations), Neurology (89 citations), Radiology, Nuclear Medicine and Imaging (232 citations) and Experimental and Cognitive Psychology (119 citations). Walid Barhoumi has collaborated with scholars based in Tunisia, France and Poland. Frequent co-authors include Ezzeddine Zagrouba, Haythem Ghazouani, Sami Dhahbi, Bartosz Świderski, Michał Kruk, Jarosław Kurek, S. Osowski, Amr Ahmed, Fernando Charrua-Santos and Christine Robin. Their work appears in journals such as Computers in Biology and Medicine, Expert Systems with Applications, Multimedia Tools and Applications, The Visual Computer and Information Fusion.
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.