Hiroaki Ogata
Impact in
- Computer Science Applications top 0.05%
- Online Learning and Analytics
- E-Learning and Knowledge Management
- Information Systems top 0.2%
- Mobile Learning in Education
- ICT in Developing Communities
Papers in
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- Online Learning and Analytics 127
-
- Innovative Teaching and Learning Methods 87
- Co-authors
- Y. YanoYoneo YanoBrendan FlanaganStephen J.H. YangRwitajit MajumdarAtsushi ShimadaFumiya OkuboChengjiu Yin
In The Last Decade
Hiroaki Ogata
361 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Science Applications 1.8k
- Information Systems 2.1k
- Developmental and Educational Psychology 1.2k
- Health Informatics 123
- Education 1.4k
Countries citing papers authored by Hiroaki Ogata
This map shows the geographic impact of Hiroaki Ogata'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 Hiroaki Ogata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Ogata more than expected).
Fields of papers citing papers by Hiroaki Ogata
This network shows the impact of papers produced by Hiroaki Ogata. 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 Hiroaki Ogata. The network helps show where Hiroaki Ogata may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Ogata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 193 | |
| 14 | 2021 | 2 | |
| 15 | Automatic Generation of Cloze Items for Repeated Testing to Improve Reading Comprehension | 2021 | 21 |
| 16 | From Human Grading to Machine Grading: Automatic Diagnosis of e-Book Text Marking Skills in Precision Education | 2021 | 1 |
| 17 | 2019 | 1 | |
| 18 | LAView: Learning Analytics Dashboard Towards Evidence-based Education | 2019 | 16 |
| 19 | 2014 | 8 | |
| 20 | 2014 | 14 |
About Hiroaki Ogata
Hiroaki Ogata is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 396 papers that have together received 5.4k indexed citations. Recurring topics across this work include Online Learning and Analytics (127 papers), Mobile Learning in Education (112 papers), Innovative Teaching and Learning Methods (87 papers), Intelligent Tutoring Systems and Adaptive Learning (43 papers), Online and Blended Learning (40 papers), Speech and dialogue systems (36 papers), Context-Aware Activity Recognition Systems (36 papers) and Robotics and Automated Systems (32 papers). The work is most often cited by research in Computer Science Applications (1.8k citations), Information Systems (2.1k citations), Developmental and Educational Psychology (1.2k citations), Health Informatics (123 citations) and Education (1.4k citations). Hiroaki Ogata has collaborated with scholars based in Japan, Taiwan and Türkiye. Frequent co-authors include Y. Yano, Yoneo Yano, Brendan Flanagan, Stephen J.H. Yang, Rwitajit Majumdar, Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Noriko Uosaki and Kousuke Mouri. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, International Journal of Mobile Learning and Organisation, Smart Learning Environments, Interactive Learning Environments and Educational Technology & Society.
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.