Sinem Aslan

2.0k citations
65 papers · 825 · h-index 16

Impact in

Papers in

Sinem Aslan

61 papers receiving 793 citations

Peers

Sinem Aslan
Comparison fields: 5 of 123
  • Computer Science Applications 144
  • Experimental and Cognitive Psychology 128
  • Cognitive Neuroscience 171
  • Developmental and Educational Psychology 109
  • Human-Computer Interaction 38
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Derek Lomas Netherlands
Aaron D. Likens United States
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David Cameron United Kingdom
Mathias Funk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Sinem Aslan

Since Specialization
Citations

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

Fields of papers citing papers by Sinem Aslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sinem Aslan, 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 Sinem Aslan Line = papers co-authored together Sinem Aslan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 202186
3 201971
4 202240
5 202035
6 202332
7 201424
8
Human Expert Labeling Process (HELP): Towards a Reliable Higher-order User State Labeling Process and Tool to Assess Student Engagement
201720
9 201520
10 201320
11 201820
12 201920
13 201619
14 201718
15 201115
16 201715
17 201514
18 201713
19
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario?
201613
20 202212

About Sinem Aslan

Sinem Aslan is a scholar working on Education, Computer Vision and Pattern Recognition, Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications, having authored 65 papers that have together received 825 indexed citations. Recurring topics across this work include Online and Blended Learning (11 papers), Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (9 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Education and Technology Integration (6 papers), Image Retrieval and Classification Techniques (5 papers), Emotion and Mood Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Science Applications (144 citations), Experimental and Cognitive Psychology (128 citations), Cognitive Neuroscience (171 citations), Developmental and Educational Psychology (109 citations) and Human-Computer Interaction (38 citations). Sinem Aslan has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Charles M. Reigeluth, Neşe Alyüz, Alice Othmani, Eda Okur, Sana Yasin, Imran Raza, Muhammad Muzammel, Syed Asad Hussain, Elisa Furlan and Andrea Critto. Their work appears in journals such as Educational Technology Research and Development, Contemporary Educational Technology, Computers and Education Artificial Intelligence, Phi Delta Kappan and Online Learning.

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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