Lassaad Ben Ammar

483 total citations
32 papers, 273 citations indexed

About

Lassaad Ben Ammar is a scholar working on Information Systems, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lassaad Ben Ammar has authored 32 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Human-Computer Interaction and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lassaad Ben Ammar's work include Usability and User Interface Design (10 papers), Model-Driven Software Engineering Techniques (4 papers) and Web Applications and Data Management (4 papers). Lassaad Ben Ammar is often cited by papers focused on Usability and User Interface Design (10 papers), Model-Driven Software Engineering Techniques (4 papers) and Web Applications and Data Management (4 papers). Lassaad Ben Ammar collaborates with scholars based in Saudi Arabia, Tunisia and France. Lassaad Ben Ammar's co-authors include Karim Gasmi, Mahmood A. Mahmood, Hamoud Alshammari, Moez Krichen, Adel Mahfoudhi, A. Trabelsi, Hanen Karamti, Alaeddine Mihoub, Najib Ben Aoun and S. Yahyaoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Alexandria Engineering Journal.

In The Last Decade

Lassaad Ben Ammar

31 papers receiving 261 citations

Peers

Lassaad Ben Ammar

RNMI

CVPR

Osama R. Shahin Saudi Arabia

Karim Gasmi Saudi Arabia

Novanto Yudistira Indonesia

Yuita Arum Sari Indonesia

Suliman Aladhadh Saudi Arabia

Syed Inthiyaz India

Mahmood A. Mahmood Saudi Arabia

Milan Tripathi Nepal

Tamilvizhi Thanarajan India

Riries Rulaningtyas Indonesia

Osama R. Shahin Saudi Arabia

Lassaad Ben Ammar

35 ×0.5

87 ×1.3

54 ×0.9

RNMI

36 ×0.8

CVPR

21 ×0.5

Citations per year, relative to Lassaad Ben Ammar Lassaad Ben Ammar (= 1×) peers Osama R. Shahin

Countries citing papers authored by Lassaad Ben Ammar

Since Specialization

Citations

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

Fields of papers citing papers by Lassaad Ben Ammar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lassaad Ben Ammar. 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 Lassaad Ben Ammar. The network helps show where Lassaad Ben Ammar may publish in the future.

Co-authorship network of co-authors of Lassaad Ben Ammar

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

All Works

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20 of 20 papers shown

Gasmi, Karim, et al.. (2025). Hybrid Feature and Optimized Deep Learning Model Fusion for Detecting Hateful Arabic Content. IEEE Access. 13. 131411–131431. 1 indexed citations

Gasmi, Karim, Adel Alkhalil, Ibrahim Alrashdi, et al.. (2025). Federated and ensemble learning framework with optimized feature selection for heart disease detection. AIMS Mathematics. 10(3). 7290–7318. 1 indexed citations

Boudriga, Noureddine, et al.. (2025). Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords. Frontiers in Physics. 13. 1 indexed citations

Gasmi, Karim, et al.. (2025). Enhanced Multimodal Physiological Signal Analysis for Pain Assessment Using Optimized Ensemble Deep Learning. Computer Modeling in Engineering & Sciences. 143(2). 2459–2489. 1 indexed citations

Gasmi, Karim, et al.. (2024). Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique. Frontiers in Neuroinformatics. 18. 1444650–1444650. 5 indexed citations

Gasmi, Karim, et al.. (2024). Optimal Ensemble Learning Model for Dyslexia Prediction Based on an Adaptive Genetic Algorithm. IEEE Access. 12. 64754–64764. 7 indexed citations

Gasmi, Karim, et al.. (2024). Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection. Diagnostics. 14(24). 2779–2779. 5 indexed citations

Ammar, Lassaad Ben. (2024). Enhanced Diagnosis of Lung Cancer through an Ensemble Learning Model leveraging an Adaptive Optimization Algorithm. Engineering Technology & Applied Science Research. 14(6). 18518–18524. 1 indexed citations

Ammar, Lassaad Ben, et al.. (2024). A survey of jamming vulnerabilities in free space optical communication systems and mitigation techniques. Optical and Quantum Electronics. 56(4). 5 indexed citations

10.

Ammar, Lassaad Ben, et al.. (2024). A survey on machine learning algorithm applications in visible light communication systems. Optical and Quantum Electronics. 56(8). 4 indexed citations

11.

Ammar, Lassaad Ben, et al.. (2024). Machine learning algorithms applied for drone detection and classification: benefits and challenges. SHILAP Revista de lepidopterología. 5. 6 indexed citations

12.

Gasmi, Karim, Ahmed Kharrat, Lassaad Ben Ammar, et al.. (2024). Classification of MRI brain tumors based on registration preprocessing and deep belief networks. AIMS Mathematics. 9(2). 4604–4631. 4 indexed citations

13.

Gasmi, Karim, Hamoud Alshammari, Hanen Karamti, et al.. (2022). Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model. Journal of Healthcare Engineering. 2022. 1–13. 52 indexed citations

14.

Alshammari, Hamoud, et al.. (2022). Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm. Wireless Communications and Mobile Computing. 2022(1). 28 indexed citations

15.

Alshammari, Hamoud, et al.. (2022). Olive Disease Classification Based on Vision Transformer and CNN Models. Computational Intelligence and Neuroscience. 2022. 1–10. 57 indexed citations

16.

Trabelsi, A., et al.. (2019). Search‐based software engineering for optimising usability of user interfaces within model transformations. IET Software. 13(5). 368–378. 1 indexed citations

17.

Ammar, Lassaad Ben. (2019). Towards a Uniform Model Transformation Process for Abstract User Interfaces Generation. 533–538. 1 indexed citations

18.

Ammar, Lassaad Ben. (2019). A Usability Model for Mobile Applications Generated with a Model-Driven Approach. International Journal of Advanced Computer Science and Applications. 10(2). 7 indexed citations

19.

Ammar, Lassaad Ben & Adel Mahfoudhi. (2013). Early Usability Evaluation in Model Driven Framework. 23–30. 3 indexed citations

20.

Ammar, Lassaad Ben, et al.. (2013). Empirical evaluation of an early understandability measurement method. 454–457. 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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