Olfa Mourali

577 total citations · 1 hit paper
9 papers, 416 citations indexed

About

Olfa Mourali is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Olfa Mourali has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Media Technology. Recurrent topics in Olfa Mourali's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Image Fusion Techniques (4 papers) and Image and Signal Denoising Methods (2 papers). Olfa Mourali is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Image Fusion Techniques (4 papers) and Image and Signal Denoising Methods (2 papers). Olfa Mourali collaborates with scholars based in Tunisia, France and Algeria. Olfa Mourali's co-authors include Ezzeddine Zagrouba, Haithem Hermessi, Samir Brahim Belhaouari and Nabiha Azizi and has published in prestigious journals such as Expert Systems with Applications, Signal Processing and Neural Computing and Applications.

In The Last Decade

Olfa Mourali

9 papers receiving 405 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multimodal medical image fusion review: Theoretical background and recent advances

2021 197 citations Haithem Hermessi, Olfa Mourali et al. Signal Processing profile →

Peers

Olfa Mourali

MT

CVPR

RNMI

BE

NEURO

Haithem Hermessi Tunisia

Ahmed Atwan Egypt

Yunjie Chen China

Sudeb Das India

Mansur Vafadust Iran

Anas M. Ali Saudi Arabia

Rajeshwar Dass India

Muhammad Sharif Pakistan

Tiep H. Vu United States

Haithem Hermessi Tunisia

Olfa Mourali

199 ×0.8

MT

189 ×0.8

CVPR

69 ×0.8

RNMI

65 ×0.9

BE

50 ×0.8

NEURO

Citations per year, relative to Olfa Mourali Olfa Mourali (= 1×) peers Haithem Hermessi

Countries citing papers authored by Olfa Mourali

Since Specialization

Citations

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

Fields of papers citing papers by Olfa Mourali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olfa Mourali

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

All Works

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9 of 9 papers shown

1.

Azizi, Nabiha, et al.. (2024). Improved Two-Stage Transfer Learning Approach for ViT-Based Myocardial Infarction Detection. Arabian Journal for Science and Engineering. 50(19). 15341–15363. 1 indexed citations

2.

Hermessi, Haithem, Olfa Mourali, & Ezzeddine Zagrouba. (2021). Multimodal medical image fusion review: Theoretical background and recent advances. Signal Processing. 183. 108036–108036. 197 indexed citations breakdown →

3.

Mourali, Olfa, et al.. (2021). Glioma classification via MR images radiomics analysis. The Visual Computer. 38(4). 1427–1441. 14 indexed citations

4.

Hermessi, Haithem, Olfa Mourali, & Ezzeddine Zagrouba. (2019). Transfer learning with multiple convolutional neural networks for soft tissue sarcoma MRI classification. 15–15. 2 indexed citations

5.

Mourali, Olfa, et al.. (2018). Non‐subsampled shearlet transform based MRI and PET brain image fusion using simplified pulse coupled neural network and weight local features in YIQ colour space. IET Image Processing. 12(10). 1873–1880. 49 indexed citations

6.

Hermessi, Haithem, Olfa Mourali, & Ezzeddine Zagrouba. (2018). Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning. Expert Systems with Applications. 120. 116–127. 59 indexed citations

7.

Hermessi, Haithem, Olfa Mourali, & Ezzeddine Zagrouba. (2018). Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain. Neural Computing and Applications. 30(7). 2029–2045. 87 indexed citations

8.

Mourali, Olfa, et al.. (2017). Multimodal Medical Image Fusion Using Modified PCNN Based on Linking Strength Estimation by MSVD Transform. International Journal of Computer and Communication Engineering. 6(3). 201–211. 6 indexed citations

9.

Hermessi, Haithem & Olfa Mourali. (2015). Aided 3D Facial Restoration for Plastic Surgery Planning using Elastic Radial Curves. International Journal of Computer Applications. 127(7). 7–11. 1 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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