Makoto Haraguchi

420 total citations
35 papers, 137 citations indexed

About

Makoto Haraguchi is a scholar working on Rehabilitation, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Makoto Haraguchi has authored 35 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rehabilitation, 11 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Makoto Haraguchi's work include Stroke Rehabilitation and Recovery (15 papers), Muscle activation and electromyography studies (7 papers) and Semantic Web and Ontologies (6 papers). Makoto Haraguchi is often cited by papers focused on Stroke Rehabilitation and Recovery (15 papers), Muscle activation and electromyography studies (7 papers) and Semantic Web and Ontologies (6 papers). Makoto Haraguchi collaborates with scholars based in Japan and United Kingdom. Makoto Haraguchi's co-authors include Junji FURUSHO, Yoshiaki Okubo, Masaharu Yoshioka, Takehito Kikuchi, Ying Jin, Akio Inoue, Etsuji Tomita, Kazuki Fukushima, Hajime Yoshino and Ying Jin and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Engineering Applications of Artificial Intelligence and Theoretical Computer Science.

In The Last Decade

Makoto Haraguchi

25 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Haraguchi Japan 7 55 41 38 21 19 35 137
Bogdan Boteanu Romania 8 43 0.8× 10 0.2× 42 1.1× 9 0.4× 2 0.1× 14 326
Haoyu Ma United States 8 43 0.8× 6 0.1× 17 0.4× 4 0.2× 7 0.4× 16 176
Yufan Wang China 7 52 0.9× 3 0.1× 68 1.8× 8 0.4× 24 216
Ghayth AlMahadin Jordan 6 39 0.7× 4 0.1× 11 0.3× 4 0.2× 44 2.3× 12 127
Pierre Morizet‐Mahoudeaux France 7 50 0.9× 19 0.5× 21 1.0× 29 125
Yoshiyuki Mochizuki Japan 6 14 0.3× 5 0.1× 32 0.8× 9 0.4× 17 230
Chenxia Wu China 8 79 1.4× 3 0.1× 19 0.5× 17 0.8× 12 268
Srijan Das United States 9 150 2.7× 5 0.1× 78 2.1× 6 0.3× 22 308
Venugopal Govindaraju United States 8 47 0.9× 8 0.2× 19 0.9× 3 0.2× 15 307

Countries citing papers authored by Makoto Haraguchi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Haraguchi, Makoto, et al.. (2016). A fast and complete algorithm for enumerating pseudo-cliques in large graphs. International Journal of Data Science and Analytics. 2(3-4). 145–158. 7 indexed citations
2.
Furukawa, Koichi, et al.. (2014). On Skill Acquisition Support by Analogical Rule Abduction. Transactions of the Japanese Society for Artificial Intelligence. 29(1). 188–193.
3.
FURUSHO, Junji & Makoto Haraguchi. (2014). Development of Rehabilitation Systems for the Limbs Using Functional Fluids. Journal of Robotics and Mechatronics. 26(3). 302–309. 5 indexed citations
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Haraguchi, Makoto & Junji FURUSHO. (2013). Passive-type rehabilitation systems for upper limbs with MR fluid brake and its training software. PubMed. 28. 4617–4620. 4 indexed citations
7.
Haraguchi, Makoto & Junji FURUSHO. (2012). Basic Research of “MR-PLEMO”: 2-D Passive-Type Rehabilitation System for Upper Limbs Using MR Fluid Brake. Journal of Robotics and Mechatronics. 24(5). 743–753. 5 indexed citations
8.
Haraguchi, Makoto, et al.. (2012). 2-D Force Display System with Redundant ER Fluid Brake Aimed at Rehabilitation Support System for Upper Limbs. Journal of Robotics and Mechatronics. 24(5). 731–742. 3 indexed citations
9.
Haraguchi, Makoto, Ying Jin, & Junji FURUSHO. (2010). Basic Research of 2-D Rehabilitation System for Upper Limbs with Redundant ER Brakes : 1st Report, Analysis of Its Force Display Ability(Mechanical Systems). TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 76(761). 142–150. 5 indexed citations
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Haraguchi, Makoto, Takehito Kikuchi, Ying Jin, et al.. (2007). 3-D Rehabilitation Systems for Upper Limbs Using ER Actuators/Brakes with High Safety: "EMUL", "Robotherapist" and "PLEMO". 35. 258–263. 10 indexed citations
12.
Yoshioka, Masaharu & Makoto Haraguchi. (2005). On a combination of probabilistic and boolean ir models for WWW document retrieval. ACM Transactions on Asian Language Information Processing. 4(3). 340–356. 1 indexed citations
13.
Yoshioka, Masaharu & Makoto Haraguchi. (2004). Multiple News Articles Summarization based on Event Reference Information. NTCIR. 12 indexed citations
14.
Haraguchi, Makoto, et al.. (2003). Data abstractions for decision tree induction. Theoretical Computer Science. 292(2). 387–416. 8 indexed citations
15.
Haraguchi, Makoto, et al.. (2000). A Logical Foundation of Metaphoric Search Based on Abstraction Approach.. 4. 53–81.
16.
Haraguchi, Makoto, et al.. (1997). A Goal-Dependent Abstraction for Legal Reasoning by Analogy. Artificial Intelligence and Law. 5(1-2). 97–118. 8 indexed citations
17.
Haraguchi, Makoto, et al.. (1996). A Theory of Knowledge Revision using Multiple Generalization. 7–12.
18.
Yoshino, Hajime, et al.. (1993). Towards a legal analogical reasoning system. 110–116. 8 indexed citations
19.
Nitta, Katsumi, et al.. (1992). Representation of legal knowledge. Journal of information processing. 15(3). 364–376. 1 indexed citations
20.
Haraguchi, Makoto, et al.. (1987). REASONING BY ANALOGY AS A PARTIAL IDENTITY BETWEEN MODELS. Kyushu University Institutional Repository (QIR) (Kyushu University). 22(3/4). 131–147. 6 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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