Imène Jraidi

411 citations
17 papers · 180 · h-index 8

Impact in

Papers in

Imène Jraidi

17 papers receiving 168 citations

Peers

Imène Jraidi
Comparison fields: 5 of 43
  • Human-Computer Interaction 32
  • Computer Science Applications 31
  • Cognitive Neuroscience 79
  • Experimental and Cognitive Psychology 49
  • Family Practice 7
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Franz Wortha Germany
Sidney D’Mello United States
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Citations per year

Countries citing papers authored by Imène Jraidi

Since Specialization
Citations

This map shows the geographic impact of Imène Jraidi'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 Imène Jraidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imène Jraidi more than expected).

Fields of papers citing papers by Imène Jraidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imène Jraidi. 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 Imène Jraidi. The network helps show where Imène Jraidi may publish in the future.

Co-authors

The 5 scholars most cited alongside Imène Jraidi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Imène Jraidi Line = papers co-authored together Imène Jraidi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201935
2 201321
3
Student's Uncertainty Modeling through a Multimodal Sensor-Based Approach
201320
4 201117
5
Affect and Mental Engagement: Towards Adaptability for Intelligent
201016
6 201715
7 201413
8 20189
9
Predicting Learners' Performance Using EEG and Eye Tracking Features.
20196
10
Adapting to Learners’ Mental States Using a Physiological Computing Approach
20155
11 20185
12 20175
13 20194
14 20223
15
Influence of Dominant Electrical Brainwaves on Learning Performance
20092
16 20102
17
Exploring Students’ Eye Movements to Assess Learning Performance in a Serious Game
20182

About Imène Jraidi

Imène Jraidi is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology and Computer Science Applications, having authored 17 papers that have together received 180 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), EEG and Brain-Computer Interfaces (6 papers), Visual and Cognitive Learning Processes (4 papers), Online Learning and Analytics (3 papers), Advanced Text Analysis Techniques (2 papers), Gaze Tracking and Assistive Technology (2 papers), Neural Networks and Applications (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Computer Science Applications (31 citations), Cognitive Neuroscience (79 citations), Experimental and Cognitive Psychology (49 citations) and Family Practice (7 citations). Imène Jraidi has collaborated with scholars based in Canada and France. Frequent co-authors include Claude Frasson, Elena Cabrio, Susanne P. Lajoie, Serena Villata and Fabien Gandon. Their work appears in journals such as Smart Learning Environments, Educational Technology & Society, Advances in Human-Computer Interaction, Computation and International Journal of Information and Education 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.

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