Rafik Ghali

646 total citations
17 papers, 425 citations indexed

About

Rafik Ghali is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Rafik Ghali has authored 17 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Safety, Risk, Reliability and Quality, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Global and Planetary Change. Recurrent topics in Rafik Ghali's work include Fire Detection and Safety Systems (14 papers), Fire effects on ecosystems (12 papers) and Video Surveillance and Tracking Methods (12 papers). Rafik Ghali is often cited by papers focused on Fire Detection and Safety Systems (14 papers), Fire effects on ecosystems (12 papers) and Video Surveillance and Tracking Methods (12 papers). Rafik Ghali collaborates with scholars based in Canada, Tunisia and Sweden. Rafik Ghali's co-authors include Moulay A. Akhloufi, Wided Souidene Mseddi and Rabah Attia and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Rafik Ghali

16 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafik Ghali Canada 9 288 226 212 34 32 17 425
Jialei Zhan China 8 177 0.6× 175 0.8× 89 0.4× 14 0.4× 18 0.6× 14 327
Yanmin Luo China 11 129 0.4× 244 1.1× 37 0.2× 9 0.3× 27 0.8× 39 369
Miguel Almeida Portugal 13 288 1.0× 77 0.3× 319 1.5× 29 0.9× 44 1.4× 43 496
Xikun Hu China 11 65 0.2× 53 0.2× 134 0.6× 59 1.7× 15 0.5× 27 390
Detian Huang China 7 123 0.4× 212 0.9× 29 0.1× 8 0.2× 22 0.7× 30 318
Vladimir Khryashchev Russia 9 31 0.1× 139 0.6× 44 0.2× 44 1.3× 27 0.8× 45 270
Yalong Pi United States 6 25 0.1× 118 0.5× 52 0.2× 48 1.4× 25 0.8× 12 289
Dejun Feng China 13 76 0.3× 157 0.7× 59 0.3× 106 3.1× 134 4.2× 27 397
Mario M. Valero Spain 10 116 0.4× 30 0.1× 188 0.9× 46 1.4× 16 0.5× 20 281

Countries citing papers authored by Rafik Ghali

Since Specialization
Citations

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

Fields of papers citing papers by Rafik Ghali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafik Ghali

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

All Works

17 of 17 papers shown
1.
Ghali, Rafik, et al.. (2025). Semantic segmentation of human blastocyst images using deep CNNs and vision transformers. Network Modeling Analysis in Health Informatics and Bioinformatics. 14(1).
2.
Ghali, Rafik, et al.. (2024). YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images. Fire. 7(4). 140–140. 22 indexed citations
3.
Ghali, Rafik & Moulay A. Akhloufi. (2024). Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image. Fire. 7(10). 343–343. 4 indexed citations
4.
Ghali, Rafik, et al.. (2024). SWIFT: Simulated Wildfire Images for Fast Training Dataset. Remote Sensing. 16(9). 1627–1627. 4 indexed citations
5.
Ghali, Rafik & Moulay A. Akhloufi. (2023). Vision Transformers for Lung Segmentation on CXR Images. SN Computer Science. 4(4). 414–414. 13 indexed citations
6.
Ghali, Rafik & Moulay A. Akhloufi. (2023). BoucaNet: A CNN-Transformer for Smoke Recognition on Remote Sensing Satellite Images. Fire. 6(12). 455–455. 8 indexed citations
7.
Ghali, Rafik & Moulay A. Akhloufi. (2023). Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction. Fire. 6(5). 192–192. 54 indexed citations
9.
Ghali, Rafik & Moulay A. Akhloufi. (2023). Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation. Remote Sensing. 15(7). 1821–1821. 43 indexed citations
10.
Ghali, Rafik & Moulay A. Akhloufi. (2023). CT-Fire: a CNN-Transformer for wildfire classification on ground and aerial images. International Journal of Remote Sensing. 44(23). 7390–7415. 8 indexed citations
11.
Ghali, Rafik, Moulay A. Akhloufi, & Wided Souidene Mseddi. (2022). Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation. Sensors. 22(5). 1977–1977. 110 indexed citations
12.
Ghali, Rafik & Moulay A. Akhloufi. (2022). ARSeg: An Attention RegSeg Architecture for CXR Lung Segmentation. 291–296. 8 indexed citations
13.
Ghali, Rafik, et al.. (2022). Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture. 149–154. 8 indexed citations
14.
Ghali, Rafik, et al.. (2021). Forest Fires Segmentation using Deep Convolutional Neural Networks. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2109–2114. 22 indexed citations
15.
Ghali, Rafik, et al.. (2021). Wildfire Segmentation Using Deep Vision Transformers. Remote Sensing. 13(17). 3527–3527. 65 indexed citations
16.
Mseddi, Wided Souidene, et al.. (2021). Fire Detection and Segmentation using YOLOv5 and U-NET. 2021 29th European Signal Processing Conference (EUSIPCO). 741–745. 30 indexed citations
17.
Ghali, Rafik, et al.. (2019). Recent Advances in Fire Detection and Monitoring Systems: A Review. Smart innovation, systems and technologies. 332–340. 24 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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