Jamil Fayyad
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Homayoun NajjaranMohammad A. JaradatDominique GruyerYounes Al YounesJaehoon ChungS. MukhopadhyayRached DhaouadiNasser Qaddoumi
- Topics
- Advanced Neural Network Applications (4 papers)Robotics and Sensor-Based Localization (3 papers)Robotic Path Planning Algorithms (3 papers)
- Partner nations
- CanadaUnited Arab EmiratesFrance
In The Last Decade
Jamil Fayyad
8 papers receiving 349 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 145
- Automotive Engineering 121
- Aerospace Engineering 100
- Artificial Intelligence 77
- Electrical and Electronic Engineering 70
Countries citing papers authored by Jamil Fayyad
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Reviewbreakdown → | 312 |
| 10 | 1 |
About Jamil Fayyad
Jamil Fayyad is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 10 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Automotive Engineering (121 citations), Computer Vision and Pattern Recognition (145 citations) and Aerospace Engineering (100 citations). Jamil Fayyad has collaborated with scholars based in Canada, United Arab Emirates and France. Frequent co-authors include Homayoun Najjaran, Mohammad A. Jaradat, Dominique Gruyer, Younes Al Younes, Jaehoon Chung, S. Mukhopadhyay, Rached Dhaouadi, Nasser Qaddoumi and Kashish Gupta. Their work appears in journals such as Sensors, Computer Methods and Programs in Biomedicine and Image and Vision Computing.
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.