Wajdi Elhamzi

739 citations
21 papers · 475 indexed · 1 hit paper · h-index 7
Topics
Brain Tumor Detection and Classification (8 papers)Advanced Neural Network Applications (7 papers)Advanced Data Compression Techniques (7 papers)

In The Last Decade

Wajdi Elhamzi

21 papers receiving 434 citations

Hit Papers

Deep CNN for Brain Tumor Classification2021202620222024202150100150200

Peers

Wajdi Elhamzi
Comparison fields: 5 of 53
  • Neurology 348
  • Computer Vision and Pattern Recognition 328
  • Artificial Intelligence 196
  • Radiology, Nuclear Medicine and Imaging 83
  • Biomedical Engineering 30
Replace T. Kalaiselvi with:
T. Kalaiselvi India
Imen Charfi Tunisia
Ramdas Vankdothu India
Rajat Mehrotra United States
Asim Munir Pakistan
Tian Lan China
Muhammad Sharif Pakistan
Bala Venkateswarlu Isunuri India
Sudeb Das India
P. Sriramakrishnan India
Wajdi Elhamzi relative to T. Kalaiselvi India T. Kalaiselvi's profile →
Citations per field
00.5×1.5×2.5×
T. Kalaiselvi · 1×
Citations per year

Countries citing papers authored by Wajdi Elhamzi

Since Specialization
Citations

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

Fields of papers citing papers by Wajdi Elhamzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wajdi Elhamzi

This figure shows the co-authorship network connecting the top 25 collaborators of Wajdi Elhamzi. A scholar is included among the top collaborators of Wajdi Elhamzi 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 Wajdi Elhamzi. Wajdi Elhamzi 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 1
2 1
3 4
4 4
5 3
6 1
7 1
8 4
9
Deep CNN for Brain Tumor Classificationbreakdown →
247
10 74
11 6
12 13
13 56
14 5
15 3
16 1
17 3
18 13
19 1
20
Hardware Co-simulation For Video Processing Using Xilinx System Generator
31

About Wajdi Elhamzi

Wajdi Elhamzi is a scholar working on Neurology, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Neurology (348 citations), Computer Vision and Pattern Recognition (328 citations) and Artificial Intelligence (196 citations). Wajdi Elhamzi has collaborated with scholars based in Tunisia, Saudi Arabia and France. Frequent co-authors include Mohamed Atri, Wadhah Ayadi, Imen Charfi, Rached Tourki, Taoufik Saidani, Julien Dubois, Johel Mitéran, Abdessalem Ben Abdelali, Dominique Ginhac and Barthélémy Heyrman. Their work appears in journals such as Neural Computing and Applications, Biomedical Signal Processing and Control 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.

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