Mohammed Hassanin
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Biomedical Engineering
- Signal Processing
- Co-authors
- Ibrahim RadwanMurat TahtalıSalman KhanSaeed AnwarFahad Shahbaz KhanAjmal MianMarwa KeshkDharmendra Sharma
- Topics
- Anomaly Detection Techniques and Applications (5 papers)Robot Manipulation and Learning (2 papers)Adversarial Robustness in Machine Learning (2 papers)
- Partner nations
- AustraliaEgyptUnited Arab Emirates
In The Last Decade
Mohammed Hassanin
11 papers receiving 264 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 113
- Artificial Intelligence 93
- Control and Systems Engineering 32
- Biomedical Engineering 23
- Signal Processing 21
Countries citing papers authored by Mohammed Hassanin
This map shows the geographic impact of Mohammed Hassanin'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 Hassanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Hassanin more than expected).
Fields of papers citing papers by Mohammed Hassanin
This network shows the impact of papers produced by Mohammed Hassanin. 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 Hassanin. The network helps show where Mohammed Hassanin may publish in the future.
Co-authorship network of co-authors of Mohammed Hassanin
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Hassanin. A scholar is included among the top collaborators of Mohammed Hassanin 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 Hassanin. Mohammed Hassanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 28 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Visual attention methods in deep learning: An in-depth surveybreakdown → | 103 |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 51 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 22 |
About Mohammed Hassanin
Mohammed Hassanin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Robot Manipulation and Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (93 citations) and Media Technology (18 citations). Mohammed Hassanin has collaborated with scholars based in Australia, Egypt and United Arab Emirates. Frequent co-authors include Ibrahim Radwan, Murat Tahtalı, Salman Khan, Saeed Anwar, Fahad Shahbaz Khan, Ajmal Mian, Marwa Keshk, Dharmendra Sharma, Mohammed Bennamoun and Farid Boussaïd. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Information Fusion.
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.