Jun Oshima

917 total citations
49 papers, 477 citations indexed

About

Jun Oshima is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Jun Oshima has authored 49 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Developmental and Educational Psychology, 18 papers in Education and 15 papers in Computer Science Applications. Recurrent topics in Jun Oshima's work include Innovative Teaching and Learning Methods (35 papers), Online and Blended Learning (11 papers) and Online Learning and Analytics (9 papers). Jun Oshima is often cited by papers focused on Innovative Teaching and Learning Methods (35 papers), Online and Blended Learning (11 papers) and Online Learning and Analytics (9 papers). Jun Oshima collaborates with scholars based in Japan, United States and Hong Kong. Jun Oshima's co-authors include Ritsuko Oshima, Yoshiaki Matsuzawa, Sdenka Zobeida Salas‐Pilco, Kejiang Xiao, Marlene Scardamalia, Carl Bereiter, Shunsuke Saruwatari, Etsuji Yamaguchi, Shigenori Inagaki and David Williamson Shaffer and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

Jun Oshima

42 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Oshima Japan 11 305 233 158 60 51 49 477
Ritsuko Oshima Japan 9 248 0.8× 185 0.8× 118 0.7× 39 0.7× 38 0.7× 34 346
Jan van Aalst Hong Kong 8 312 1.0× 240 1.0× 119 0.8× 41 0.7× 79 1.5× 14 417
Angélique Dimitracopoulou Greece 12 285 0.9× 205 0.9× 155 1.0× 57 0.9× 76 1.5× 34 466
Martin Muehlenbrock Germany 4 254 0.8× 115 0.5× 145 0.9× 52 0.9× 59 1.2× 6 377
Nathan Dwyer United States 9 297 1.0× 171 0.7× 109 0.7× 38 0.6× 182 3.6× 18 460
Judithe Sheard Australia 13 175 0.6× 270 1.2× 215 1.4× 124 2.1× 79 1.5× 32 521
Kariane Mari Nemer United States 5 281 0.9× 293 1.3× 44 0.3× 36 0.6× 40 0.8× 7 431
Martin Wessner Germany 9 197 0.6× 88 0.4× 94 0.6× 43 0.7× 79 1.5× 32 308
Sarah Manlove Netherlands 7 357 1.2× 279 1.2× 108 0.7× 49 0.8× 30 0.6× 12 496
Padraig Nash United States 5 199 0.7× 125 0.5× 120 0.8× 27 0.5× 12 0.2× 6 315

Countries citing papers authored by Jun Oshima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Oshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Oshima

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Oshima. A scholar is included among the top collaborators of Jun Oshima 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 Jun Oshima. Jun Oshima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Oshima, Jun, et al.. (2024). University Students’ Knowledge Creation Practices in Face-to-Face and Hybrid Blended Learning: Development of Epistemic Views and Perceptions of the Community of Inquiry. Journal of Science Education and Technology. 34(5). 1193–1212. 1 indexed citations
3.
Minematsu, Tsubasa, et al.. (2024). Use of Generative AI for Boundary Crossing in Interdisciplinary Collaborative Research. Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference. 67–74. 1 indexed citations
4.
Oshima, Ritsuko, et al.. (2022). Web Services for Collaboration Analysis With IoT Badges. IEEE Access. 10. 121318–121328. 5 indexed citations
5.
Oshima, Jun, Ritsuko Oshima, & Shunsuke Saruwatari. (2020). Analysis of students’ ideas and conceptual artifacts in knowledge‐building discourse. British Journal of Educational Technology. 51(4). 1308–1321. 21 indexed citations
6.
Oshima, Jun, et al.. (2020). Differences in Idea Improvement Processes between High and Low Learning-Outcome Groups in Project-based Learning.. ICLS. 1 indexed citations
7.
Oshima, Jun, et al.. (2019). Collective Knowledge Advancement through Shared Epistemic Agency: Socio-Semantic Network Analyses.. Computer Supported Collaborative Learning. 4 indexed citations
8.
Oshima, Jun, et al.. (2018). Socio-Emotional Regulation in Knowledge Building Mediated by CSCL Reflection.. ICLS. 1 indexed citations
9.
Oshima, Jun, et al.. (2017). Collective Knowledge Advancement and Conceptual Understanding of Complex Scientific Concepts in the Jigsaw Instruction. Computer Supported Collaborative Learning. 6 indexed citations
10.
Oshima, Ritsuko & Jun Oshima. (2015). Collaboration Scenario-based Scale for Emotion Regulation: Measuring Learners’ Agency to Regulate Own, Others’ and Group Emotions. EdMedia: World Conference on Educational Media and Technology. 2015(1). 796–801. 1 indexed citations
11.
Oshima, Jun, Ritsuko Oshima, & Keita Fujii. (2014). Student Regulation of Collaborative Learning in Multiple Document Integration.. ICLS. 2 indexed citations
12.
Oshima, Jun & Ritsuko Oshima. (2013). Robot-Mediated Collaborative Learning. Society for Information Technology & Teacher Education International Conference. 2341–2348. 1 indexed citations
13.
Oshima, Jun & Makoto Tsunoda. (2013). A STUDY ON DESIGN CORRESPONDING TO THE BUILDING CODES IN COMPREHENSIVE RENOVATION WITH SEISMIC RETROFITTING. Journal of Architecture and Planning (Transactions of AIJ). 78(685). 565–571. 1 indexed citations
14.
Oshima, Jun, Yoshiaki Matsuzawa, Ritsuko Oshima, Carol K. K. Chan, & Jan van Aalst. (2012). Social Network Analysis for Knowledge Building: Establishment of Indicators for Collective Knowledge Advancement. International Conference of Learning Sciences. 2. 465–466. 2 indexed citations
15.
Oshima, Jun, Ritsuko Oshima, & Naomi Miyake. (2012). Collaborative Reading Comprehension with Communication Robots as Learning Partner.. ICLS. 1 indexed citations
16.
Oshima, Jun, et al.. (2011). KBDeX: A Platform for Exploring Discourse in Collaborative Learning. Procedia - Social and Behavioral Sciences. 26. 198–207. 15 indexed citations
17.
Oshima, Jun & Ritsuko Oshima. (2007). Complex network theory approach to the assessment on collective knowledge advancement through scientific discourse in CSCL. Computer-supported collaborative learning/˜The œComputer-Supported Collaborative Learning Conference. 567–569. 5 indexed citations
18.
Oshima, Jun, et al.. (2004). Learning behind the scenes: development of mentors through their participation in design research. International Conference of Learning Sciences. 18(4). 388–395. 1 indexed citations
19.
Oshima, Jun & Ritsuko Oshima. (1999). Scaffolding for Progressive Discourse in CSILE: Case Study of University Undergraduate Programs. American Educational Research Association Annual Meeting. 1999(1). 2 indexed citations
20.
Oshima, Jun & Marlene Scardamalia. (1996). Knowledge-building and conceptual change: an inquiry into student-directed construction of scientific explanations. International Conference of Learning Sciences. 256–263. 4 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.

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