Fayçal Hamdaoui

731 citations
25 papers · 448 indexed · 1 hit paper · h-index 8
Topics
Medical Image Segmentation Techniques (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)Advanced Neural Network Applications (6 papers)
Partner nations
Tunisia

In The Last Decade

Fayçal Hamdaoui

23 papers receiving 417 citations

Hit Papers

A survey on deep multimodal learning for computer vision:...2021202620222024202150100150200

Peers

Fayçal Hamdaoui
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 228
  • Artificial Intelligence 146
  • Radiology, Nuclear Medicine and Imaging 62
  • Media Technology 57
  • Automotive Engineering 33
Replace Khaled Bayoudh with:
Khaled Bayoudh Tunisia
R. R. Sedamkar India
Enrique Domínguez Spain
Reecha Sharma India
Kang Zheng United States
Hyunjae Lee South Korea
Miguel A. Molina‐Cabello Spain
Nouf Abdullah Almujally Saudi Arabia
Ahmed Tamtaoui Morocco
Monika Bansal India
Fayçal Hamdaoui relative to Khaled Bayoudh Tunisia Khaled Bayoudh's profile →
Citations per field
00.5×
Khaled Bayoudh · 1×
Citations per year

Countries citing papers authored by Fayçal Hamdaoui

Since Specialization
Citations

This map shows the geographic impact of Fayçal Hamdaoui'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 Fayçal Hamdaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fayçal Hamdaoui more than expected).

Fields of papers citing papers by Fayçal Hamdaoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fayçal Hamdaoui. 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 Fayçal Hamdaoui. The network helps show where Fayçal Hamdaoui may publish in the future.

Co-authorship network of co-authors of Fayçal Hamdaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Fayçal Hamdaoui. A scholar is included among the top collaborators of Fayçal Hamdaoui 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 Fayçal Hamdaoui. Fayçal Hamdaoui 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
#WorkIndexed citations
1 0
2 1
3 6
4 1
5 1
6
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasetsbreakdown →
238
7 35
8 4
9
Robust FPGA Hardware Architecture of DPSO Multilevel Image Segmentation
1
10 24
11 2
12 1
13 2
14 3
15 2
16 0
17 9
18 17
19 15
20 2

About Fayçal Hamdaoui

Fayçal Hamdaoui is a scholar working on Computer Vision and Pattern Recognition, Neurology and General Dentistry, having authored 25 papers that have together received 448 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Media Technology (57 citations) and Health Informatics (8 citations). Fayçal Hamdaoui has collaborated with scholars based in Tunisia. Frequent co-authors include Abdellatif Mtibaa, Khaled Bayoudh, Anis Sakly and Mohamed Hamdaouı. Their work appears in journals such as Electronics, Applied Intelligence and The Visual Computer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026