Ritsuko Oshima

580 total citations
34 papers, 346 citations indexed

About

Ritsuko Oshima is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education. According to data from OpenAlex, Ritsuko Oshima has authored 34 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Developmental and Educational Psychology, 13 papers in Computer Science Applications and 11 papers in Education. Recurrent topics in Ritsuko Oshima's work include Innovative Teaching and Learning Methods (25 papers), Online Learning and Analytics (8 papers) and Online and Blended Learning (6 papers). Ritsuko Oshima is often cited by papers focused on Innovative Teaching and Learning Methods (25 papers), Online Learning and Analytics (8 papers) and Online and Blended Learning (6 papers). Ritsuko Oshima collaborates with scholars based in Japan, Finland and Hong Kong. Ritsuko Oshima's co-authors include Jun Oshima, Yoshiaki Matsuzawa, Shunsuke Saruwatari, Etsuji Yamaguchi, Shigenori Inagaki, Takuya Fujihashi, Yuki Yamada, Takashi Watanabe, Yasunori Okada and Keita Fujii and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

Ritsuko Oshima

29 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritsuko Oshima Japan 9 248 185 118 39 38 34 346
Jan van Aalst Hong Kong 8 312 1.3× 240 1.3× 119 1.0× 41 1.1× 79 2.1× 14 417
Melody Siadaty Canada 8 204 0.8× 125 0.7× 186 1.6× 33 0.8× 57 1.5× 14 308
Padraig Nash United States 5 199 0.8× 125 0.7× 120 1.0× 27 0.7× 12 0.3× 6 315
Chris Teplovs Canada 8 154 0.6× 123 0.7× 118 1.0× 16 0.4× 44 1.2× 12 266
Claire Scoular Australia 8 197 0.8× 184 1.0× 67 0.6× 64 1.6× 35 0.9× 29 354
Diler Öner Türkiye 12 147 0.6× 240 1.3× 94 0.8× 56 1.4× 10 0.3× 25 348
Luigi Sarti Italy 7 112 0.5× 124 0.7× 83 0.7× 27 0.7× 25 0.7× 31 218
Juliette Culver United Kingdom 6 95 0.4× 124 0.7× 95 0.8× 58 1.5× 49 1.3× 10 257
Karin Lundgren-Cayrol Canada 7 99 0.4× 99 0.5× 79 0.7× 26 0.7× 14 0.4× 16 224
J. Terry Mayes United Kingdom 5 114 0.5× 108 0.6× 43 0.4× 23 0.6× 17 0.4× 9 216

Countries citing papers authored by Ritsuko Oshima

Since Specialization
Citations

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

Fields of papers citing papers by Ritsuko Oshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritsuko Oshima

This figure shows the co-authorship network connecting the top 25 collaborators of Ritsuko Oshima. A scholar is included among the top collaborators of Ritsuko 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 Ritsuko Oshima. Ritsuko 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
1.
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.
Oshima, Ritsuko, et al.. (2022). Web Services for Collaboration Analysis With IoT Badges. IEEE Access. 10. 121318–121328. 5 indexed citations
4.
Oshima, Ritsuko, et al.. (2021). Speaker Identification for Business-Card-Type Sensors. SHILAP Revista de lepidopterología. 2. 216–226. 4 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.. (2019). Collective Knowledge Advancement through Shared Epistemic Agency: Socio-Semantic Network Analyses.. Computer Supported Collaborative Learning. 4 indexed citations
7.
Oshima, Jun, et al.. (2018). Socio-Emotional Regulation in Knowledge Building Mediated by CSCL Reflection.. ICLS. 1 indexed citations
8.
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
9.
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
10.
Oshima, Jun, Ritsuko Oshima, & Keita Fujii. (2014). Student Regulation of Collaborative Learning in Multiple Document Integration.. ICLS. 2 indexed citations
11.
Oshima, Jun & Ritsuko Oshima. (2013). Robot-Mediated Collaborative Learning. Society for Information Technology & Teacher Education International Conference. 2341–2348. 1 indexed citations
12.
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
13.
Oshima, Jun, Ritsuko Oshima, & Naomi Miyake. (2012). Collaborative Reading Comprehension with Communication Robots as Learning Partner.. ICLS. 1 indexed citations
14.
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
15.
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
16.
Oshima, Jun, et al.. (2006). Changing Teachers’ Epistemological Perspectives: A case study of teacher–researcher collaborative lesson studies in Japan. Teaching Education. 17(1). 43–57. 10 indexed citations
17.
Oshima, Jun, et al.. (2006). Knowledge-building activity structures in Japanese elementary science pedagogy. International Journal of Computer-Supported Collaborative Learning. 1(2). 229–246. 28 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, et al.. (2004). Design experiments in Japanese elementary science education with computer support for collaborative learning: hypothesis testing and collaborative construction. International Journal of Science Education. 26(10). 1199–1221. 16 indexed citations
20.
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

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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