Mohammed Alatiyyah
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Information Systems
- Computer Networks and Communications
- Co-authors
- Jeongmin ParkAhmad JalalKhaled AlnowaiserHanan AljuaidSamia Allaoua ChellougAli RazaM. F. MridhaMd. Anwar Hussen Wadud
- Topics
- Video Surveillance and Tracking Methods (8 papers)Anomaly Detection Techniques and Applications (5 papers)Human Pose and Action Recognition (4 papers)
- Journals
- IEEE AccessSensorsApplied Sciences
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Mohammed Alatiyyah
21 papers receiving 322 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 182
- Artificial Intelligence 88
- Biomedical Engineering 39
- Information Systems 28
- Computer Networks and Communications 28
Countries citing papers authored by Mohammed Alatiyyah
This map shows the geographic impact of Mohammed Alatiyyah'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 Mohammed Alatiyyah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Alatiyyah more than expected).
Fields of papers citing papers by Mohammed Alatiyyah
This network shows the impact of papers produced by Mohammed Alatiyyah. 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 Mohammed Alatiyyah. The network helps show where Mohammed Alatiyyah may publish in the future.
Co-authorship network of co-authors of Mohammed Alatiyyah
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Alatiyyah. A scholar is included among the top collaborators of Mohammed Alatiyyah 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 Mohammed Alatiyyah. Mohammed Alatiyyah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 37 | |
| 14 | 72 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 63 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 37 |
About Mohammed Alatiyyah
Mohammed Alatiyyah is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Artificial Intelligence (88 citations) and Signal Processing (26 citations). Mohammed Alatiyyah has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Jeongmin Park, Ahmad Jalal, Khaled Alnowaiser, Hanan Aljuaid, Samia Allaoua Chelloug, Ali Raza, M. F. Mridha, Md. Anwar Hussen Wadud, Ahmad Jalal and Saud S. Alotaibi. Their work appears in journals such as IEEE Access, Sensors and Applied Sciences.
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.