Walid Barhoumi

1.5k total citations
99 papers, 965 citations indexed

About

Walid Barhoumi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Walid Barhoumi has authored 99 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Walid Barhoumi's work include Image Retrieval and Classification Techniques (27 papers), AI in cancer detection (22 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Walid Barhoumi is often cited by papers focused on Image Retrieval and Classification Techniques (27 papers), AI in cancer detection (22 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Walid Barhoumi collaborates with scholars based in Tunisia, France and Poland. Walid Barhoumi's co-authors include Ezzeddine Zagrouba, Haythem Ghazouani, Sami Dhahbi, Bartosz Świderski, Michał Kruk, S. Osowski, Jarosław Kurek, Amr Ahmed, Fernando Charrua-Santos and Claudio Ferrari and has published in prestigious journals such as Expert Systems with Applications, Sensors and Pattern Recognition.

In The Last Decade

Walid Barhoumi

92 papers receiving 921 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Walid Barhoumi Tunisia 18 460 414 210 153 98 99 965
Siew Chin Neoh Malaysia 15 478 1.0× 553 1.3× 68 0.3× 83 0.5× 147 1.5× 33 1.2k
Sajid Ali Khan Pakistan 17 550 1.2× 394 1.0× 246 1.2× 62 0.4× 42 0.4× 27 1.1k
Jwan Najeeb Saeed Iraq 12 231 0.5× 331 0.8× 81 0.4× 42 0.3× 39 0.4× 17 855
Tripty Singh India 17 393 0.9× 346 0.8× 276 1.3× 34 0.2× 23 0.2× 141 1.1k
M. Arfan Jaffar Pakistan 21 812 1.8× 288 0.7× 136 0.6× 23 0.2× 164 1.7× 98 1.3k
Jaehyuk Cha South Korea 18 219 0.5× 300 0.7× 200 1.0× 100 0.7× 11 0.1× 86 1.2k
Chaosheng Tang China 15 286 0.6× 389 0.9× 239 1.1× 24 0.2× 21 0.2× 55 1.1k
Marwa Obayya Saudi Arabia 15 172 0.4× 283 0.7× 191 0.9× 88 0.6× 18 0.2× 78 725
Abdelmalik Taleb‐Ahmed France 14 212 0.5× 165 0.4× 166 0.8× 26 0.2× 29 0.3× 50 627
Dat Tien Nguyen South Korea 20 509 1.1× 270 0.7× 193 0.9× 23 0.2× 16 0.2× 64 1.1k

Countries citing papers authored by Walid Barhoumi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Walid Barhoumi

This figure shows the co-authorship network connecting the top 25 collaborators of Walid Barhoumi. A scholar is included among the top collaborators of Walid Barhoumi 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 Walid Barhoumi. Walid Barhoumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barhoumi, Walid, et al.. (2025). SoK : Federated Learning and Unlearning for Medical Image Analysis. Expert Systems. 42(6). 1 indexed citations
2.
Ghazouani, Haythem, et al.. (2025). Rank-aware LDL hybrid MetaFormer for Compound Facial Expression Recognition in-the-wild. Information Fusion. 126. 103525–103525.
3.
Barhoumi, Walid, et al.. (2025). Improving skin lesion classification through saliency-guided loss functions. Computers in Biology and Medicine. 192(Pt B). 110299–110299. 1 indexed citations
4.
Barhoumi, Walid, et al.. (2024). Disagreement serves an explainable ensemble model based on Dempster–Shafer evidence-fusion for an improved skin lesion classification. Biomedical Signal Processing and Control. 98. 106761–106761. 3 indexed citations
5.
Barhoumi, Walid, et al.. (2024). Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers. Vietnam Journal of Computer Science. 12(3). 301–328. 1 indexed citations
6.
Ahmed, Imran, et al.. (2024). Intelligent Computing for Crop Monitoring in CIoT : Leveraging AI and Big Data Technologies. Expert Systems. 42(2). 3 indexed citations
7.
8.
Barhoumi, Walid, et al.. (2024). Two-level content-based mammogram retrieval using the ACR BI-RADS assessment code and learning-driven distance selection. The Journal of Supercomputing. 80(11). 15690–15724. 1 indexed citations
9.
Ghazouani, Haythem, et al.. (2024). Label distribution learning for compound facial expression recognition in‐the‐wild: A comparative study. Expert Systems. 42(2). 2 indexed citations
10.
Barhoumi, Walid, et al.. (2024). Fusion of UNet and ResNet decisions for change detection using low and high spectral resolution images. Signal Image and Video Processing. 18(S1). 695–702. 1 indexed citations
11.
Ghazouani, Haythem, et al.. (2024). Potato Leaf Disease Classification Using Transfer Learning and Reweighting-Based Training with Imbalanced Data. SN Computer Science. 5(8). 4 indexed citations
12.
Ghazouani, Haythem, et al.. (2023). Hierarchical Convolutional Neural Networks for Leaf Disease Detection. 1–6. 1 indexed citations
13.
14.
Ghazouani, Haythem & Walid Barhoumi. (2021). Towards non-data-hungry and fully-automated diagnosis of breast cancer from mammographic images. Computers in Biology and Medicine. 139. 105011–105011. 6 indexed citations
15.
Barhoumi, Walid, et al.. (2020). Dynamic distance learning for joint assessment of visual and semantic similarities within the framework of medical image retrieval. Computers in Biology and Medicine. 122. 103833–103833. 5 indexed citations
16.
17.
Barhoumi, Walid, et al.. (2019). Skeleton-based comparison of throwing motion for handball players. Journal of Ambient Intelligence and Humanized Computing. 11(1). 419–431. 19 indexed citations
18.
Ghazouani, Haythem, et al.. (2019). Sparse coding-based representation of LBP difference for 3D/4D facial expression recognition. Multimedia Tools and Applications. 78(16). 22773–22796. 23 indexed citations
19.
Barhoumi, Walid, et al.. (2017). Hybrid PET/MRI co-segmentation based on joint fuzzy connectedness and graph cut. Computer Methods and Programs in Biomedicine. 149. 29–41. 14 indexed citations
20.
Dhahbi, Sami, Walid Barhoumi, & Ezzeddine Zagrouba. (2015). Breast cancer diagnosis in digitized mammograms using curvelet moments. Computers in Biology and Medicine. 64. 79–90. 87 indexed citations

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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