Jamil Fayyad

581 total citations · 1 hit paper
10 papers, 360 citations indexed

About

Jamil Fayyad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jamil Fayyad has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Jamil Fayyad's work include Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (3 papers) and Robotic Path Planning Algorithms (3 papers). Jamil Fayyad is often cited by papers focused on Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (3 papers) and Robotic Path Planning Algorithms (3 papers). Jamil Fayyad collaborates with scholars based in Canada, France and United Arab Emirates. Jamil Fayyad's co-authors include Homayoun Najjaran, Dominique Gruyer, Mohammad A. Jaradat, Younes Al Younes, Jaehoon Chung, Rached Dhaouadi, S. Mukhopadhyay, Nasser Qaddoumi and Kashish Gupta and has published in prestigious journals such as Sensors, Computer Methods and Programs in Biomedicine and Image and Vision Computing.

In The Last Decade

Jamil Fayyad

8 papers receiving 349 citations

Hit Papers

Deep Learning Sensor Fusion for Autonomous Vehicle Percep... 2020 2026 2022 2024 2020 100 200 300
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. Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
    2020 312 citations Jamil Fayyad, Mohammad A. Jaradat et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamil Fayyad Canada 5 145 121 100 77 70 10 360
Jelena Kocić Serbia 5 122 0.8× 120 1.0× 65 0.7× 65 0.8× 56 0.8× 8 321
Jinlong Li United States 5 212 1.5× 153 1.3× 71 0.7× 73 0.9× 81 1.2× 9 400
Peter Ondrúška United Kingdom 9 202 1.4× 188 1.6× 99 1.0× 99 1.3× 62 0.9× 13 429
Véronique Cherfaoui France 11 145 1.0× 111 0.9× 108 1.1× 94 1.2× 65 0.9× 29 327
Yiqi Zhong China 8 261 1.8× 100 0.8× 87 0.9× 122 1.6× 53 0.8× 12 459
Daniel Meyer-Delius Germany 8 143 1.0× 61 0.5× 178 1.8× 80 1.0× 71 1.0× 10 301
Ángel Llamazares Spain 12 172 1.2× 74 0.6× 121 1.2× 37 0.5× 77 1.1× 26 313
Lili Fan China 14 182 1.3× 68 0.6× 58 0.6× 61 0.8× 35 0.5× 49 472
Yuki Kitsukawa Japan 5 148 1.0× 182 1.5× 119 1.2× 58 0.8× 71 1.0× 8 439
Kyounghwan An South Korea 8 215 1.5× 185 1.5× 104 1.0× 44 0.6× 50 0.7× 10 423

Countries citing papers authored by Jamil Fayyad

Since Specialization
Citations

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

Fields of papers citing papers by Jamil Fayyad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamil Fayyad

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

All Works

10 of 10 papers shown
1.
Fayyad, Jamil, et al.. (2024). Vision transformers in domain adaptation and domain generalization: a study of robustness. Neural Computing and Applications. 36(29). 17979–18007. 16 indexed citations
2.
Chung, Jaehoon, Jamil Fayyad, Younes Al Younes, & Homayoun Najjaran. (2024). Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding. Artificial Intelligence Review. 57(2). 13 indexed citations
3.
Fayyad, Jamil, et al.. (2024). Empirical validation of Conformal Prediction for trustworthy skin lesions classification. Computer Methods and Programs in Biomedicine. 253. 108231–108231. 3 indexed citations
4.
5.
Fayyad, Jamil, et al.. (2023). Exploiting classifier inter-level features for efficient out-of-distribution detection. Image and Vision Computing. 142. 104897–104897. 2 indexed citations
6.
Fayyad, Jamil, et al.. (2023). Model Compression Methods for YOLOv5: A Review. arXiv (Cornell University). 8 indexed citations
7.
Fayyad, Jamil, et al.. (2023). DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic Environment. Sensors. 23(9). 4364–4364. 5 indexed citations
8.
Chung, Jaehoon, Jamil Fayyad, Younes Al Younes, & Homayoun Najjaran. (2023). Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding. arXiv (Cornell University).
9.
Fayyad, Jamil, Mohammad A. Jaradat, Dominique Gruyer, & Homayoun Najjaran. (2020). Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review. Sensors. 20(15). 4220–4220. 312 indexed citations breakdown →
10.
Fayyad, Jamil, et al.. (2019). Optimal Coil Design for a Quadrotor Wireless Charging System. 1–5. 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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