Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
2023442 citationsTufan Adıgüzel, Mehmet Haldun Kaya et al.Contemporary Educational Technologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Tufan Adıgüzel
Since
Specialization
Citations
This map shows the geographic impact of Tufan Adıgüzel'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 Tufan Adıgüzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tufan Adıgüzel more than expected).
This network shows the impact of papers produced by Tufan Adıgüzel. 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 Tufan Adıgüzel. The network helps show where Tufan Adıgüzel may publish in the future.
Co-authorship network of co-authors of Tufan Adıgüzel
This figure shows the co-authorship network connecting the top 25 collaborators of Tufan Adıgüzel.
A scholar is included among the top collaborators of Tufan Adıgüzel 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 Tufan Adıgüzel. Tufan Adıgüzel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bahar, Kadir & Tufan Adıgüzel. (2016). Analysis of Factors Influencing Interest in STEM Career: Comparison between High Ability and Motivated American and Turkish High School Students. Journal of STEM education. 17(3).2 indexed citations
8.
Bahar, Kadir & Tufan Adıgüzel. (2016). Analysis of Factors Influencing Interest in STEM Career: Comparison between American and Turkish High School Students with High Ability.. Journal of STEM education. 17(3). 64–69.32 indexed citations
9.
Adıgüzel, Tufan, et al.. (2014). Akıllı Tahtalar Ve Öğretim Uygulamaları/Smart Boards And Their Instructional Uses. DergiPark (Istanbul University). 8(15). 457–472.4 indexed citations
10.
Şahin, Alpaslan, et al.. (2014). Fen, teknoloji, muhendislik ve matematik içerikli okul sonrası etkinlikler ve öğrenciler üzerindeki etkileri. Educational Sciences Theory & Practice. 14(1). 297–322.18 indexed citations
Polat, Elif, Tufan Adıgüzel, & Özcan Erkan Akgün. (2012). Adaptive Web-Assisted Learning System for Students with Specific Learning Disabilities: A Needs Analysis Study.. Educational Sciences Theory & Practice. 12(4). 3243–3258.14 indexed citations
Adıgüzel, Tufan, et al.. (2011). Akıllı tahtalar ve öğretim uygulamaları. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 8(15). 457–471.10 indexed citations
16.
Adıgüzel, Tufan, Robert M. Capraro, & Victor L. Willson. (2011). AN EXAMINATION OF TEACHER ACCEPTANCE OF HANDHELD COMPUTERS. International Journal of Special Education (IJSE). 26(3). 12–27.23 indexed citations
Adıgüzel, Tufan, et al.. (2004). Improving School Children's Mathematical Word Problem Solving Skills through Computer-Based Multiple Representations. 2004(1).7 indexed citations
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.