Gülsüm Aşıksoy

816 citations
26 papers · 558 indexed · 1 hit paper · h-index 12

Gülsüm Aşıksoy

25 papers receiving 509 citations

Hit Papers

Flipped Classroom adapted to the ARCS Model of Motivation...14920162026201920224080120

Peers

Gülsüm Aşıksoy
Comparison fields: 5 of 67
  • Computer Science Applications 92
  • Education 396
  • Media Technology 90
  • Developmental and Educational Psychology 127
  • Human-Computer Interaction 33
Replace Taotao Long with:
Taotao Long China
Nadia Jaramillo Cherrez United States
Yinghui Shi China
Eva Heinrich New Zealand
Sakunthala Yatigammana Ekanayake Sri Lanka
Stylianos Sergis Greece
Derya Orhan Göksün Türkiye
Carmen Fies United States
Gülden Gürsoy Türkiye
Gülsüm Aşıksoy relative to Taotao Long China Taotao Long's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gülsüm Aşıksoy

Since Specialization
Citations

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

Fields of papers citing papers by Gülsüm Aşıksoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Gülsüm Aşıksoy, 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 Gülsüm Aşıksoy Line = papers co-authored together Gülsüm Aşıksoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20242
4 202423
5 20242
6 20235
7 202318
8 202130
9 20212
10 20201
11 201917
12 20192
13
THE EFFECTS OF CLICKER-AIDED FLIPPED CLASSROOM MODEL ON LEARNING ACHIEVEMENT, PHYSICS ANXIETY AND STUDENTS’ PERCEPTIONS
201820
14
ELT students’ attitudes and awareness towards the use of WEB 2.0 technologies for language learning
201814
15 201711
16
Flipped Classroom adapted to the ARCS Model of Motivation and applied to a Physics Coursebreakdown →
2016149
17 2016131
18 20159
19 20157
20 201412

About Gülsüm Aşıksoy

Gülsüm Aşıksoy is a scholar working on Health Informatics, Education and Philosophy, having authored 26 papers that have together received 558 indexed citations. Recurring topics across this work include Innovative Teaching Methods (12 papers), Education Practices and Challenges (4 papers), Online and Blended Learning (4 papers), Technology-Enhanced Education Studies (4 papers), Education and Learning Interventions (3 papers), Educational Methods and Analysis (3 papers), Educational Games and Gamification (3 papers) and Science Education and Pedagogy (3 papers). The work is most often cited by research in Computer Science Applications (92 citations), Education (396 citations) and Media Technology (90 citations). Gülsüm Aşıksoy has collaborated with scholars based in Cyprus, Türkiye and Taiwan. Frequent co-authors include Fezile Özdamlı, Lütfi Sürücü, Hüseyin Uzunboylu, Çiğdem Hürsen, Murat Tezer and Hüseyin Gökçekuş. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Quality & Quantity.

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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