Hela Mahersia

416 total citations · 1 hit paper
22 papers, 244 citations indexed

About

Hela Mahersia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hela Mahersia has authored 22 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hela Mahersia's work include AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (4 papers). Hela Mahersia is often cited by papers focused on AI in cancer detection (8 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (4 papers). Hela Mahersia collaborates with scholars based in Tunisia, Saudi Arabia and Sudan. Hela Mahersia's co-authors include Kamel Hamrouni, Lubna A. Gabralla, Zied Lachiri, Habib Fathallah and R. Bourguiba and has published in prestigious journals such as Expert Systems with Applications, Information Fusion and Computer Methods and Programs in Biomedicine.

In The Last Decade

Hela Mahersia

17 papers receiving 230 citations

Hit Papers

Emotion recognition from unimodal to multimodal analysis:... 2023 2026 2024 2025 2023 25 50 75

Peers

Hela Mahersia
Comparison fields: 5 of 50
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 94
  • Radiology, Nuclear Medicine and Imaging 80
  • Experimental and Cognitive Psychology 63
  • Cognitive Neuroscience 31
Replace Xuanping Li with:
Xuanping Li China
Veena Mayya India
Nirmala Madian India
Sajid Ali Khan Pakistan
Sohail Masood Bhatti Pakistan
Qiangchang Wang China
Shiba Kuanar United States
Wafaa M. Shalash Saudi Arabia
Xinpeng Ding China
Amir Tahmasebi United States
Xuanping Li China View profile →
Citations per field, relative to Hela Mahersia
Hela Mahersia · 1×
Citations per year, relative to Hela Mahersia
Hela Mahersia · 1×

Countries citing papers authored by Hela Mahersia

Since Specialization
Citations

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

Fields of papers citing papers by Hela Mahersia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hela Mahersia

This figure shows the co-authorship network connecting the top 25 collaborators of Hela Mahersia. A scholar is included among the top collaborators of Hela Mahersia 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 Hela Mahersia. Hela Mahersia 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
# Work Indexed citations
1 0
2 0
3 0
4
Emotion recognition from unimodal to multimodal analysis: A review breakdown →
80
5 2
6 2
7 4
8 5
9 3
10 11
11 33
12 24
13 18
14 0
15 33
16 1
17
Rotation- and scale-invariant texture classification using log-polar and ridgelet transforms
1
18 3
19 1
20 5

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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2026