Makoto Haraguchi
- Co-authors
- Junji FURUSHOYoshiaki OkuboMasaharu YoshiokaYing JinTakehito KikuchiAkio InoueHajime YoshinoEtsuji Tomita
- Topics
- Stroke Rehabilitation and Recovery (15 papers)Muscle activation and electromyography studies (7 papers)Semantic Web and Ontologies (6 papers)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper seriesEngineering Applications of Artificial IntelligenceTheoretical Computer Science
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Makoto Haraguchi
25 papers receiving 105 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 55
- Rehabilitation 41
- Biomedical Engineering 38
- Information Systems 21
- Neurology 19
Countries citing papers authored by Makoto Haraguchi
This map shows the geographic impact of Makoto Haraguchi'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 Makoto Haraguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Haraguchi more than expected).
Fields of papers citing papers by Makoto Haraguchi
This network shows the impact of papers produced by Makoto Haraguchi. 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 Makoto Haraguchi. The network helps show where Makoto Haraguchi may publish in the future.
Co-authorship network of co-authors of Makoto Haraguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Haraguchi. A scholar is included among the top collaborators of Makoto Haraguchi 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 Makoto Haraguchi. Makoto Haraguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | Multiple News Articles Summarization based on Event Reference Information | 12 |
| 14 | 8 | |
| 15 | A Logical Foundation of Metaphoric Search Based on Abstraction Approach. | 0 |
| 16 | 8 | |
| 17 | A Theory of Knowledge Revision using Multiple Generalization | 0 |
| 18 | 8 | |
| 19 | Representation of legal knowledge | 1 |
| 20 | 6 |
About Makoto Haraguchi
Makoto Haraguchi is a scholar working on Rehabilitation, Theoretical Computer Science and Physical Therapy, Sports Therapy and Rehabilitation, having authored 35 papers that have together received 137 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (15 papers), Muscle activation and electromyography studies (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Rehabilitation (41 citations), Artificial Intelligence (55 citations) and Human-Computer Interaction (8 citations). Makoto Haraguchi has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Junji FURUSHO, Yoshiaki Okubo, Masaharu Yoshioka, Ying Jin, Takehito Kikuchi, Akio Inoue, Hajime Yoshino, Etsuji Tomita, Kazuki Fukushima and Masahito Mihara. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Engineering Applications of Artificial Intelligence 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.