Lahouari Ghouti

1.8k total citations · 1 hit paper
69 papers, 1.2k citations indexed

About

Lahouari Ghouti is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Lahouari Ghouti has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 14 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Lahouari Ghouti's work include Advanced Steganography and Watermarking Techniques (17 papers), Software Engineering Research (8 papers) and Image and Signal Denoising Methods (8 papers). Lahouari Ghouti is often cited by papers focused on Advanced Steganography and Watermarking Techniques (17 papers), Software Engineering Research (8 papers) and Image and Signal Denoising Methods (8 papers). Lahouari Ghouti collaborates with scholars based in Saudi Arabia, United Kingdom and Palestinian Territory. Lahouari Ghouti's co-authors include Mohammad Alshayeb, Issam Laradji, Zaid Alyafeai, Ahmed Bouridane, M.K. Ibrahim, Said Boussakta, Tarek Sheltami, Anis Koubâa, Wadii Boulila and Shahid Latif and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Lahouari Ghouti

67 papers receiving 1.1k citations

Hit Papers

Software defect predictio... 2014 2026 2018 2022 2014 50 100 150 200 250
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.

  1. Software defect prediction using ensemble learning on selected features
    2014 288 citations Issam Laradji, Mohammad Alshayeb et al. Information and Software Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lahouari Ghouti Saudi Arabia 18 405 376 367 279 231 69 1.2k
Yanjun Wu China 18 429 1.1× 588 1.6× 390 1.1× 93 0.3× 257 1.1× 100 1.3k
Yuchi Tian China 7 216 0.5× 626 1.7× 253 0.7× 379 1.4× 87 0.4× 19 1.0k
Habib Shah Saudi Arabia 19 83 0.2× 344 0.9× 252 0.7× 59 0.2× 194 0.8× 60 923
Hamad Naeem China 21 155 0.4× 531 1.4× 378 1.0× 109 0.4× 737 3.2× 45 1.3k
Dawei Feng China 12 162 0.4× 434 1.2× 243 0.7× 95 0.3× 275 1.2× 64 1.1k
Tong Jia China 14 337 0.8× 332 0.9× 96 0.3× 39 0.1× 319 1.4× 123 888
Ali Shahrokni Sweden 14 659 1.6× 299 0.8× 154 0.4× 69 0.2× 70 0.3× 36 979
Hong Zhu China 14 133 0.3× 350 0.9× 594 1.6× 827 3.0× 296 1.3× 127 1.6k

Countries citing papers authored by Lahouari Ghouti

Since Specialization
Citations

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

Fields of papers citing papers by Lahouari Ghouti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lahouari Ghouti

This figure shows the co-authorship network connecting the top 25 collaborators of Lahouari Ghouti. A scholar is included among the top collaborators of Lahouari Ghouti 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 Lahouari Ghouti. Lahouari Ghouti 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.
Abdelkader, Mohamed, et al.. (2024). VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction. Drones. 9(1). 8–8. 6 indexed citations
2.
Koubâa, Anis, et al.. (2023). AERO: AI-Enabled Remote Sensing Observation with Onboard Edge Computing in UAVs. Remote Sensing. 15(7). 1873–1873. 34 indexed citations
3.
Alshayeb, Mohammad, et al.. (2022). Detection of Design Smells Using Adaptive Neuro-Fuzzy Approaches. International Journal of Fuzzy Systems. 24(4). 1927–1943. 3 indexed citations
4.
Alshayeb, Mohammad, et al.. (2021). Software refactoring side effects. Journal of Software Evolution and Process. 36(1). 1 indexed citations
5.
Alenezi, Mamdouh, Basit Qureshi, & Lahouari Ghouti. (2020). Welcome from the CDMA 2020 Chairs. 10–13. 1 indexed citations
6.
Ghouti, Lahouari, et al.. (2019). Gender recognition using four statistical feature techniques: a comparative study of performance. Evolutionary Intelligence. 12(4). 633–646. 4 indexed citations
7.
Alyafeai, Zaid & Lahouari Ghouti. (2019). A fully-automated deep learning pipeline for cervical cancer classification. Expert Systems with Applications. 141. 112951–112951. 145 indexed citations
8.
Ghouti, Lahouari. (2014). Mobility Prediction Using Fully-Complex Extreme Learning Machines.. The European Symposium on Artificial Neural Networks. 11 indexed citations
9.
Ghouti, Lahouari, et al.. (2014). NMF-Density: NMF-Based Breast Density Classifier.. The European Symposium on Artificial Neural Networks. 2 indexed citations
10.
Laradji, Issam, Mohammad Alshayeb, & Lahouari Ghouti. (2014). Software defect prediction using ensemble learning on selected features. Information and Software Technology. 58. 388–402. 288 indexed citations breakdown →
11.
Laradji, Issam, et al.. (2014). XML classification using ensemble learning on extracted features. 42. 1–6.
12.
13.
Ghouti, Lahouari, et al.. (2012). Biometric Cryptosystem with Renewable Templates. 1–5. 3 indexed citations
14.
Al-Muhtaseb, Husni, et al.. (2011). Arabic Handwriting Synthesis. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 8 indexed citations
15.
Ghouti, Lahouari & Saeed Albukhitan. (2010). Hybrid Soft Computing for PVT Properties Prediction. The European Symposium on Artificial Neural Networks. 2 indexed citations
16.
Ghouti, Lahouari, Ahmed Bouridane, & M.K. Ibrahim. (2005). Image Compression Using Texture Modeling. 2313–2316. 6 indexed citations
17.
Ghouti, Lahouari & Ahmed Bouridane. (2005). Two-step variance-adaptive image denoising. III–349. 2 indexed citations
18.
Ghouti, Lahouari, Ahmed Bouridane, & M.K. Ibrahim. (2004). Edge-preserving wavelet-based multisensor image fusion approach. European Signal Processing Conference. 61–64. 1 indexed citations
19.
Al-Duwaish, H., Lahouari Ghouti, T.O. Halawani, & Mohamed Mohandes. (2002). Use of artificial neural networks process analyzers: a case study.. The European Symposium on Artificial Neural Networks. 465–470. 5 indexed citations
20.
Bettayeb, Maâmar, et al.. (1997). High-order spectra-based deconvolution of ultrasonic NDT signals for defect identification. Ultrasonics. 35(7). 525–531. 8 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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