Fumiya Okubo
- Computer Science Applications top 0.5%
- Artificial Intelligence top 10%
- Education top 5%
- Developmental and Educational Psychology top 5%
- Information Systems top 5%
- Co-authors
- Atsushi ShimadaHiroaki OgataMisato OiMasanori YamadaChengjiu YinTakayoshi YamashitaKentaro KojimaTakashi Yokomori
- Topics
- Online Learning and Analytics (22 papers)DNA and Biological Computing (16 papers)semigroups and automata theory (13 papers)
In The Last Decade
Fumiya Okubo
53 papers receiving 629 citations
Peers
Comparison fields: 5 of 67
- Computer Science Applications 365
- Artificial Intelligence 201
- Education 200
- Developmental and Educational Psychology 162
- Information Systems 139
Countries citing papers authored by Fumiya Okubo
This map shows the geographic impact of Fumiya Okubo'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 Fumiya Okubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiya Okubo more than expected).
Fields of papers citing papers by Fumiya Okubo
This network shows the impact of papers produced by Fumiya Okubo. 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 Fumiya Okubo. The network helps show where Fumiya Okubo may publish in the future.
Co-authorship network of co-authors of Fumiya Okubo
This figure shows the co-authorship network connecting the top 25 collaborators of Fumiya Okubo. A scholar is included among the top collaborators of Fumiya Okubo 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 Fumiya Okubo. Fumiya Okubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | Instructional Design and Evaluation of Science Education to Improve Collaborative Problem Solving Skills | 2 |
| 6 | 117 | |
| 7 | Exploring students' learning journals with web-based interactive report tool | 1 |
| 8 | 54 | |
| 9 | Open Data in Education | 1 |
| 10 | 8 | |
| 11 | 15 | |
| 12 | Analysis of Links among E-books in undergraduates E-Book Logs | 2 |
| 13 | 22 | |
| 14 | Automatic summarization of lecture slides for enhanced student preview | 6 |
| 15 | 14 | |
| 16 | On the Computational Power of Reaction Automata Working in Sequential Manner. | 2 |
| 17 | 11 | |
| 18 | On language classes defined by reaction automata | 0 |
| 19 | Hairpin Incompletion : An Extension of Bounded Hairpin Completion | 1 |
| 20 | 18 |
About Fumiya Okubo
Fumiya Okubo is a scholar working on Computer Science Applications, Computational Theory and Mathematics and Information Systems, having authored 58 papers that have together received 676 indexed citations. Recurring topics across this work include Online Learning and Analytics (22 papers), DNA and Biological Computing (16 papers) and semigroups and automata theory (13 papers). The work is most often cited by research in Computer Science Applications (365 citations), Developmental and Educational Psychology (162 citations) and Education (200 citations). Fumiya Okubo has collaborated with scholars based in Japan and Germany. Frequent co-authors include Atsushi Shimada, Hiroaki Ogata, Misato Oi, Masanori Yamada, Chengjiu Yin, Takayoshi Yamashita, Kentaro Kojima, Takashi Yokomori, Yuta Taniguchi and Shin’ichi Konomi. Their work appears in journals such as IEEE Access, Sustainability and Theoretical Computer Science.
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.