This map shows the geographic impact of Jeeheon Ryu'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 Jeeheon Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeeheon Ryu more than expected).
This network shows the impact of papers produced by Jeeheon Ryu. 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 Jeeheon Ryu. The network helps show where Jeeheon Ryu may publish in the future.
Co-authorship network of co-authors of Jeeheon Ryu
This figure shows the co-authorship network connecting the top 25 collaborators of Jeeheon Ryu.
A scholar is included among the top collaborators of Jeeheon Ryu 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 Jeeheon Ryu. Jeeheon Ryu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Sanghoon, et al.. (2019). Exploring the influences of immersive virtual reality pre-service teacher training simulations on teacher efficacy. Society for Information Technology & Teacher Education International Conference. 2112–2116.1 indexed citations
7.
Ryu, Jeeheon & Fengfeng Ke. (2018). Increasing Persona Effects: Does It Matter the Voice and Appearance of Animated Pedagogical Agent. 19(1). 61–91.7 indexed citations
8.
Ryu, Jeeheon, et al.. (2016). Developing a 3D Virtual Environment for Hearing Impaired Learners’ Learning of CNC Machine Operation. Society for Information Technology & Teacher Education International Conference. 2016(1). 2450–2454.1 indexed citations
Ryu, Jeeheon, et al.. (2013). The Impact of Gesture and Facial Expression on Learning Comprehension and Persona Effect of Pedagogical Agent. 16(3). 281–292.6 indexed citations
Ryu, Jeeheon. (2012). The Effect of Image Realism and Learner's Expertise on Persona Effect of Pedagogical Agent. 15(1). 47–56.4 indexed citations
13.
Ryu, Jeeheon. (2011). Sensitivity of Cognitive Load Factors and Prediction for Learning Achievement upon the Levels of Task in Multimedia Learning. 17(3). 309–332.2 indexed citations
Ryu, Jeeheon. (2010). The Effects of Screen Layout of PDA and Types of Task on Response Time and Users' Preference. 16(1). 71–94.1 indexed citations
16.
Ryu, Jeeheon. (2009). The Impact of Cognitive Load Factors and Arousal Levels of Galvanic Skin Response on Task Performance in Computer Based Learning. 12(3). 279–288.1 indexed citations
17.
Park, Sanghoon, Minjeong Kim, & Jeeheon Ryu. (2004). Searching for Optimized ROI Process for E-Learning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2004(1). 416–419.1 indexed citations
18.
Park, Sanghoon & Jeeheon Ryu. (2004). The effects of pre-service teacher’s self-reflection and achievement on the satisfaction with E-portfolio.. Society for Information Technology & Teacher Education International Conference. 2004(1). 2528–2530.1 indexed citations
19.
Ryu, Jeeheon, et al.. (2003). Designing Adaptive Learning Objects. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 1152–1155.3 indexed citations
20.
Ryu, Jeeheon, et al.. (2003). Meta-Analysis of the Effectiveness of Pedagogical Agent. EdMedia: World Conference on Educational Media and Technology. 2003(1). 479–486.7 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.