Müge Satar

954 citations
30 papers · 514 indexed · h-index 12

Müge Satar

26 papers receiving 464 citations

Peers

Müge Satar
Comparison fields: 5 of 40
  • Language and Linguistics 260
  • Literature and Literary Theory 173
  • Developmental and Educational Psychology 123
  • Human-Computer Interaction 49
  • Education 215
Replace María Camino Bueno Alastuey with:
María Camino Bueno Alastuey Spain
Boning Lyu Hong Kong
Senta Goertler United States
Azizeh Chalak Iran
Fernando Rosell-Aguilar United Kingdom
Ferit Kılıçkaya Türkiye
Mark R. Freiermuth Japan
Ali Farhan AbuSeileek Jordan
Kilryoung Lee South Korea
Raffaella Negretti Sweden
Müge Satar relative to María Camino Bueno Alastuey Spain María Camino Bueno Alastuey's profile →
Citations per field
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María Camino Bueno Alastuey · 1×
Citations per year

Countries citing papers authored by Müge Satar

Since Specialization
Citations

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

Fields of papers citing papers by Müge Satar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Müge Satar, 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 Müge Satar Line = papers co-authored together Müge Satar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20242
4 20230
5 20238
6 20231
7 20232
8 202219
9 20216
10 20211
11 20208
12
English as a Foreign Language Learner Interactions with Chatbots: Negotiation for Meaning.
202028
13 20208
14 201845
15 201811
16 20180
17 201722
18
Effectiveness of Various Oral Feedback Techniques in CALL Vocabulary Learning Materials
20094
19
200813
20 2008153

About Müge Satar

Müge Satar is a scholar working on Literature and Literary Theory, Language and Linguistics and Communication, having authored 30 papers that have together received 514 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (14 papers), Second Language Learning and Teaching (12 papers), Language, Discourse, Communication Strategies (6 papers), Discourse Analysis in Language Studies (6 papers), International Student and Expatriate Challenges (5 papers), Digital Communication and Language (3 papers), Innovative Teaching and Learning Methods (3 papers) and Literacy, Media, and Education (3 papers). The work is most often cited by research in Language and Linguistics (260 citations), Literature and Literary Theory (173 citations) and Developmental and Educational Psychology (123 citations). Müge Satar has collaborated with scholars based in United Kingdom, Türkiye and France. Frequent co-authors include Nesrin Özdener, Ciara R. Wigham, Sumru Akcan, Sedat Akayoğlu, Kenan Dikilitaş, Carola Strobl, Mirjam Hauck, Kelly J. Cunningham, Paul Seedhouse and Sara Ganassin. Their work appears in journals such as SHILAP Revista de lepidopterología, Modern Language Journal and TESOL Quarterly.

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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