Amel Ksibi

1.2k total citations
78 papers, 712 citations indexed

About

Amel Ksibi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amel Ksibi has authored 78 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amel Ksibi's work include Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (8 papers). Amel Ksibi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (8 papers). Amel Ksibi collaborates with scholars based in Saudi Arabia, Tunisia and India. Amel Ksibi's co-authors include Manel Ayadi, Ben Othman Soufiene, Mona Jamjoom, Zahid Ullah, Ala Saleh Alluhaidan, Mohammed Zakariah, Amal Al‐Rasheed, Hédi Sakli, Monia Hamdi and Leila Jamel and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Amel Ksibi

72 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amel Ksibi Saudi Arabia 15 192 174 113 90 62 78 712
Ahmed A. Elngar Egypt 14 215 1.1× 326 1.9× 119 1.1× 111 1.2× 41 0.7× 84 855
Himanshu Agrawal India 15 145 0.8× 150 0.9× 141 1.2× 68 0.8× 45 0.7× 80 863
Mona Jamjoom Saudi Arabia 18 204 1.1× 363 2.1× 53 0.5× 107 1.2× 40 0.6× 73 1.0k
Mejdl Safran Saudi Arabia 15 91 0.5× 197 1.1× 90 0.8× 112 1.2× 39 0.6× 92 719
Lubna A. Gabralla Saudi Arabia 17 172 0.9× 207 1.2× 59 0.5× 106 1.2× 65 1.0× 41 758
Munif Alotaibi Saudi Arabia 15 266 1.4× 248 1.4× 115 1.0× 136 1.5× 92 1.5× 32 736
J. Samuel Manoharan India 13 205 1.1× 214 1.2× 82 0.7× 73 0.8× 36 0.6× 35 607
L. Padma Suresh India 15 221 1.2× 145 0.8× 70 0.6× 67 0.7× 34 0.5× 104 811
Sunday Adeola Ajagbe Nigeria 14 116 0.6× 199 1.1× 163 1.4× 88 1.0× 99 1.6× 78 633
Jafar Tanha Iran 13 178 0.9× 512 2.9× 79 0.7× 93 1.0× 56 0.9× 76 841

Countries citing papers authored by Amel Ksibi

Since Specialization
Citations

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

Fields of papers citing papers by Amel Ksibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amel Ksibi

This figure shows the co-authorship network connecting the top 25 collaborators of Amel Ksibi. A scholar is included among the top collaborators of Amel Ksibi 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 Amel Ksibi. Amel Ksibi 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.
Ksibi, Amel, Mohammed Zakariah, Latifah Almuqren, & Ala Saleh Alluhaidan. (2025). Deep Convolution Neural Networks for Image-Based Android Malware Classification. Computers, materials & continua/Computers, materials & continua (Print). 82(3). 4093–4116. 1 indexed citations
2.
Govindarajan, V. S., Tan Fong Ang, Zaffar Ahmed Shaikh, et al.. (2025). MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification. Digital Health. 11. 610005315–610005315. 1 indexed citations
3.
Ayadi, Manel, Oumaima Saidani, Leila Jamel, et al.. (2025). Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women. Computer Modeling in Engineering & Sciences. 142(3). 2959–3001. 1 indexed citations
4.
Laghari, Asif Ali, Abdullah Ayub Khan, Amel Ksibi, et al.. (2025). A novel and secure artificial intelligence enabled zero trust intrusion detection in industrial internet of things architecture. Scientific Reports. 15(1). 26843–26843. 4 indexed citations
5.
6.
Dalal, Surjeet, Umesh Kumar Lilhore, Nidhi Sharma, et al.. (2024). Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency. PeerJ Computer Science. 10. e1939–e1939. 9 indexed citations
7.
Mallik, Saurav, et al.. (2024). An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform. International Journal of Computational Intelligence Systems. 17(1). 6 indexed citations
8.
Ksibi, Amel, et al.. (2024). Empowering e-learning approach by the use of federated edge computing. Cluster Computing. 27(10). 13737–13748. 1 indexed citations
9.
Dalal, Surjeet, Umesh Kumar Lilhore, Neetu Faujdar, et al.. (2023). Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree. Journal of Cloud Computing Advances Systems and Applications. 12(1). 19 indexed citations
10.
Ksibi, Amel, Mohammed Zakariah, Latifah Almuqren, & Ala Saleh Alluhaidan. (2023). Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques. Engineering Applications of Artificial Intelligence. 127. 107390–107390. 11 indexed citations
11.
Sardaraz, Muhammad, et al.. (2023). IDriveGenes: Cancer Driver Genes Prediction Using Machine Learning. IEEE Access. 11. 28439–28453. 4 indexed citations
12.
Hamdi, Monia, Ravikumar Chinthaginjala, Giovanni Pau, et al.. (2023). Reliable Data Transmission in Underwater Wireless Sensor Networks Using a Cluster-Based Routing Protocol Endorsed by Member Nodes. Electronics. 12(6). 1287–1287. 36 indexed citations
13.
Rafique, Adnan Ahmed, Amal Al‐Rasheed, Amel Ksibi, et al.. (2023). Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images. IEEE Access. 11. 2993–3007. 31 indexed citations
14.
Fourati, Rahma, et al.. (2023). Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis. Biomedical Signal Processing and Control. 87. 105359–105359. 24 indexed citations
15.
Shaukat, Kamran, Talha Mahboob Alam, Ibrahim A. Hameed, et al.. (2022). A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics. 12(12). 3138–3138. 20 indexed citations
16.
Hajjej, Fahima, Amel Ksibi, Khaled Alnowaiser, et al.. (2022). Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools. IEEE Access. 10. 116527–116539. 10 indexed citations
17.
Ayadi, Manel, Amel Ksibi, Amal Al‐Rasheed, & Ben Othman Soufiene. (2022). COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images. Healthcare. 10(10). 2072–2072. 10 indexed citations
18.
Ksibi, Amel, et al.. (2020). Insights for Wellbeing: Predicting Personal Air Quality Index Using Regression Approach.. MediaEval. 1 indexed citations
19.
Ksibi, Amel, et al.. (2017). Immune deficiency in patients with methylmalonic acidemia.. Current Pediatric Research. 21(4). 533–534. 1 indexed citations
20.
Ksibi, Amel, et al.. (2012). REGIMvid at ImageCLEF2012: Improving Diversity in Personal Photo Ranking Using Fuzzy Logic. 7 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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