Mohamed Hédi Bedoui

1.5k total citations
124 papers, 927 citations indexed

About

Mohamed Hédi Bedoui is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Hédi Bedoui has authored 124 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Hédi Bedoui's work include EEG and Brain-Computer Interfaces (23 papers), Neural Networks and Applications (22 papers) and Medical Image Segmentation Techniques (18 papers). Mohamed Hédi Bedoui is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Neural Networks and Applications (22 papers) and Medical Image Segmentation Techniques (18 papers). Mohamed Hédi Bedoui collaborates with scholars based in Tunisia, France and Belgium. Mohamed Hédi Bedoui's co-authors include Asma Ben Abdallah, Khaled Ben Khalifa, Mohamed Akil, Yaroub Elloumi, Antoine Manzanera, Carlos Valderrama, Rostom Kachouri, Mohamed Dogui, Frédéric Alexandre and Marcelo A. C. Fernandes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition.

In The Last Decade

Mohamed Hédi Bedoui

112 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Hédi Bedoui Tunisia 15 266 233 194 182 164 124 927
Chuchart Pintavirooj Thailand 16 155 0.6× 280 1.2× 92 0.5× 116 0.6× 240 1.5× 163 816
Lakhan Dev Sharma India 21 121 0.5× 88 0.4× 576 3.0× 148 0.8× 251 1.5× 67 1.1k
R. Sukanesh India 16 93 0.3× 400 1.7× 94 0.5× 187 1.0× 104 0.6× 71 871
Zhao Ren Germany 19 132 0.5× 98 0.4× 53 0.3× 303 1.7× 119 0.7× 64 1.0k
Omneya Attallah Egypt 30 839 3.2× 323 1.4× 123 0.6× 894 4.9× 285 1.7× 72 1.9k
Soumya Jana India 18 346 1.3× 237 1.0× 107 0.6× 62 0.3× 177 1.1× 104 1.4k
Paulo César Cortez Brazil 18 322 1.2× 292 1.3× 133 0.7× 210 1.2× 184 1.1× 64 1.1k
Arūnas Lukoševičius Lithuania 15 103 0.4× 67 0.3× 96 0.5× 50 0.3× 272 1.7× 71 725
Giuseppe Boccignone Italy 17 51 0.2× 574 2.5× 206 1.1× 107 0.6× 124 0.8× 86 966
R. Rajesh India 16 40 0.2× 250 1.1× 129 0.7× 125 0.7× 115 0.7× 88 823

Countries citing papers authored by Mohamed Hédi Bedoui

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Hédi Bedoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Hédi Bedoui. 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 Mohamed Hédi Bedoui. The network helps show where Mohamed Hédi Bedoui may publish in the future.

Co-authorship network of co-authors of Mohamed Hédi Bedoui

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Hédi Bedoui. A scholar is included among the top collaborators of Mohamed Hédi Bedoui 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 Mohamed Hédi Bedoui. Mohamed Hédi Bedoui 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.
Bedoui, Mohamed Hédi, et al.. (2025). Novelty bio-composite of copper oxide NPs-chitosan extract for antibacterial activity. AIP conference proceedings. 3282. 50066–50066. 1 indexed citations
2.
Khalifa, Khaled Ben, et al.. (2024). Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes. Sensors. 24(13). 4256–4256. 2 indexed citations
3.
Abdallah, Asma Ben, et al.. (2024). A fast residual attention network for fine-grained unsupervised anomaly detection and localization. Applied Soft Computing. 165. 112066–112066. 5 indexed citations
4.
Bedoui, Mohamed Hédi, et al.. (2023). Brain Tumor Detection Using Convolutional Neural Network. 282–287. 2 indexed citations
5.
Elloumi, Yaroub, et al.. (2023). Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels. SPIRE - Sciences Po Institutional REpository. 2451–2456.
6.
Abdallah, Asma Ben, et al.. (2023). Revolutionizing Brain Cancer Diagnosis: Automated Prediction of MGMT Methylation Status using Histological Images. SPIRE - Sciences Po Institutional REpository. 149–156.
7.
Khalifa, Khaled Ben, et al.. (2023). Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals. ORBi UMONS. 1–6. 3 indexed citations
8.
Saouli, Rachida, et al.. (2022). Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset. SN Computer Science. 3(4). 2 indexed citations
9.
Saouli, Rachida, et al.. (2022). Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation. Computerized Medical Imaging and Graphics. 104. 102168–102168. 5 indexed citations
10.
Elloumi, Yaroub, et al.. (2022). Automated method for real-time AMD screening of fundus images dedicated for mobile devices. Medical & Biological Engineering & Computing. 60(5). 1449–1479. 13 indexed citations
11.
Saouli, Rachida, et al.. (2021). A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI. IET Image Processing. 15(9). 1845–1868. 14 indexed citations
12.
Mohammed, Mazin Abed, et al.. (2021). Parametric Methods for the Regional Assessment of Cardiac Wall Motion Abnormalities: Comparison Study. Computers, materials & continua/Computers, materials & continua (Print). 69(1). 1233–1252. 7 indexed citations
13.
Khalifa, Khaled Ben, et al.. (2020). Innovative deep learning models for EEG-based vigilance detection. Neural Computing and Applications. 33(12). 6921–6937. 27 indexed citations
14.
Bedoui, Mohamed Hédi, et al.. (2018). 3D Reconstruction of Coronary Arteries from Rotational X-Ray Angiography. Digital Library (University of West Bohemia). 2 indexed citations
15.
Abdallah, Asma Ben, et al.. (2015). Three-dimensional interpolation methods to spatiotemporal EEG mapping during various behavioral states. Signal Image and Video Processing. 10(5). 943–949. 5 indexed citations
16.
Bedoui, Mohamed Hédi, et al.. (2014). VLIW Processor Architecture Exploration for Facial-Feature and component extraction. International Journal of Scientific Engineering and Technology. 3(7). 865–870.
17.
Abdallah, Asma Ben, et al.. (2014). Grammar Formalism for ECG Signal Interpretation and Classification. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Abdallah, Asma Ben, et al.. (2014). Local deformation analysis in the heart left ventricle using the regional volume evolution. 48–51. 1 indexed citations
19.
Khalifa, Khaled Ben, et al.. (2010). Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification. SPIRE - Sciences Po Institutional REpository. 45. 610–614. 6 indexed citations
20.
Alexandre, Frédéric, et al.. (2005). Artificial Neural Networks to extract Knowledge from EEG. HAL (Le Centre pour la Communication Scientifique Directe). 5 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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