Noboru Matsuda
About
In The Last Decade
Noboru Matsuda
39 papers receiving 433 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 307
- Computer Science Applications 217
- Developmental and Educational Psychology 139
- Education 92
- Information Systems 65
Countries citing papers authored by Noboru Matsuda
This map shows the geographic impact of Noboru Matsuda'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 Noboru Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Matsuda more than expected).
Fields of papers citing papers by Noboru Matsuda
This network shows the impact of papers produced by Noboru Matsuda. 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 Noboru Matsuda. The network helps show where Noboru Matsuda may publish in the future.
Co-authorship network of co-authors of Noboru Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Matsuda. A scholar is included among the top collaborators of Noboru Matsuda 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 Noboru Matsuda. Noboru Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. | 2 |
| 5 | 36 | |
| 6 | How quickly can wheel spinning be detected | 8 |
| 7 | Methods for Evaluating Simulated Learners: Examples from SimStudent. | 6 |
| 8 | Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Course Refinement. | 10 |
| 9 | Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. | 4 |
| 10 | 39 | |
| 11 | Impact of Prior Knowledge and Teaching Strategies on Learning by Teaching. | 4 |
| 12 | 18 | |
| 13 | Toward a reflective SimStudent: Using experience to avoid generalization errors. | 1 |
| 14 | Shallow learning as a pathway for successful learning both for tutors and tutees | 3 |
| 15 | A Machine Learning Approach for Automatic Student Model Discovery | 65 |
| 16 | Towards a Computational Model of Why Some Students Learn Faster than Others | 1 |
| 17 | A Computational Model of How Learner Errors Arise from Weak Prior Knowledge | 18 |
| 18 | Student Modelling for Procedural Problem Solving | 1 |
| 19 | 0 | |
| 20 | A STUDY ON THE FREQUENCY OF 'ATYPICAL' MYCOBACTERIA AND OF 'ATYPICAL' MYCOBACTERIOSES IN JAPANESE NATIONAL CHEST HOSPITALS | 0 |
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.