Abdallah El Ali
- Human-Computer Interaction top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Pablo CésarSusanne BollWilko HeutenTianyi ZhangUwe GruenefeldAlan HanjalićSwamy AnanthanarayanChen Wang
- Topics
- Emotion and Mood Recognition (22 papers)Virtual Reality Applications and Impacts (16 papers)Innovative Human-Technology Interaction (12 papers)
- Cited by
- Human-Computer InteractionExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- SensorsIEEE Transactions on Visualization and Computer GraphicsIEEE Transactions on Multimedia
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Abdallah El Ali
68 papers receiving 998 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Human-Computer Interaction 518
- Computer Vision and Pattern Recognition 296
- Social Psychology 236
- Cognitive Neuroscience 234
- Experimental and Cognitive Psychology 225
Countries citing papers authored by Abdallah El Ali
This map shows the geographic impact of Abdallah El 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 Abdallah El Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdallah El Ali more than expected).
Fields of papers citing papers by Abdallah El Ali
This network shows the impact of papers produced by Abdallah El 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 Abdallah El Ali. The network helps show where Abdallah El Ali may publish in the future.
Co-authorship network of co-authors of Abdallah El Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Abdallah El Ali. A scholar is included among the top collaborators of Abdallah El 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 Abdallah El Ali. Abdallah El 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 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | User Experience Design Professionals’ Perceptions of Generative Artificial Intelligencebreakdown → | 42 |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 25 | |
| 12 | 40 | |
| 13 | 47 | |
| 14 | 42 | |
| 15 | 30 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 1 |
About Abdallah El Ali
Abdallah El Ali is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Social Psychology, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (22 papers), Virtual Reality Applications and Impacts (16 papers) and Innovative Human-Technology Interaction (12 papers). The work is most often cited by research in Human-Computer Interaction (518 citations), Experimental and Cognitive Psychology (225 citations) and Computer Vision and Pattern Recognition (296 citations). Abdallah El Ali has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Pablo César, Susanne Boll, Wilko Heuten, Tianyi Zhang, Uwe Gruenefeld, Alan Hanjalić, Swamy Ananthanarayan, Chen Wang, Tong Xue and F. Simone. Their work appears in journals such as Sensors, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Multimedia.
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.