Mouhannad Ali
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Co-authors
- Kyandoghere KyamakyaFadi Al MachotAhmad Haj MosaStephan Mühlbacher-KarrerHubert ZanglLisa-Marie FallerZ M RazlanHazry Desa
- Topics
- EEG and Brain-Computer Interfaces (7 papers)Emotion and Mood Recognition (6 papers)Hand Gesture Recognition Systems (5 papers)
In The Last Decade
Mouhannad Ali
16 papers receiving 375 citations
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 229
- Cognitive Neuroscience 195
- Computer Vision and Pattern Recognition 79
- Cardiology and Cardiovascular Medicine 62
- Artificial Intelligence 50
Countries citing papers authored by Mouhannad Ali
This map shows the geographic impact of Mouhannad Ali'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 Mouhannad Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mouhannad Ali more than expected).
Fields of papers citing papers by Mouhannad Ali
This network shows the impact of papers produced by Mouhannad Ali. 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 Mouhannad Ali. The network helps show where Mouhannad Ali may publish in the future.
Co-authorship network of co-authors of Mouhannad Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Mouhannad Ali. A scholar is included among the top collaborators of Mouhannad Ali 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 Mouhannad Ali. Mouhannad Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 88 | |
| 4 | 13 | |
| 5 | 35 | |
| 6 | 63 | |
| 7 | 37 | |
| 8 | 26 | |
| 9 | 67 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | Learning and manipulating human's fingertipbending data for sign language translationusing PCA-BMU classifier | 1 |
| 18 | A Computerized Method to Diagnose Strabismus Based on a Novel Method for Pupil Segmentation | 2 |
About Mouhannad Ali
Mouhannad Ali is a scholar working on Human-Computer Interaction, Anatomy and Experimental and Cognitive Psychology, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Emotion and Mood Recognition (6 papers) and Hand Gesture Recognition Systems (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (229 citations), Cognitive Neuroscience (195 citations) and Human-Computer Interaction (40 citations). Mouhannad Ali has collaborated with scholars based in Austria, Malaysia and Germany. Frequent co-authors include Kyandoghere Kyamakya, Fadi Al Machot, Ahmad Haj Mosa, Stephan Mühlbacher-Karrer, Hubert Zangl, Lisa-Marie Faller, Z M Razlan, Hazry Desa, Wan Khairunizam and Juliana Aida Abu Bakar. Their work appears in journals such as Sensors, Transportation Research Part C Emerging Technologies and IEEE Transactions on Circuits and Systems for Video Technology.
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.