Masashi Hamaya

637 total citations
43 papers, 432 citations indexed

About

Masashi Hamaya is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masashi Hamaya has authored 43 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 24 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masashi Hamaya's work include Robot Manipulation and Learning (29 papers), Soft Robotics and Applications (14 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Masashi Hamaya is often cited by papers focused on Robot Manipulation and Learning (29 papers), Soft Robotics and Applications (14 papers) and Prosthetics and Rehabilitation Robotics (11 papers). Masashi Hamaya collaborates with scholars based in Japan, Australia and Switzerland. Masashi Hamaya's co-authors include Tomoyuki Noda, Jun Morimoto, Tatsuya Teramae, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Barkan Uğurlu, Ryo Yonetani, Yifei Huang and Atsushi Hashimoto and has published in prestigious journals such as IEEE Access, The International Journal of Robotics Research and Pattern Recognition Letters.

In The Last Decade

Masashi Hamaya

38 papers receiving 423 citations

Peers

Masashi Hamaya
Comparison fields: 5 of 57
  • Biomedical Engineering 268
  • Control and Systems Engineering 207
  • Rehabilitation 73
  • Mechanical Engineering 61
  • Cognitive Neuroscience 53
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Citations per field, relative to Masashi Hamaya
Masashi Hamaya · 1×
Citations per year, relative to Masashi Hamaya
Masashi Hamaya · 1×

Countries citing papers authored by Masashi Hamaya

Since Specialization
Citations

This map shows the geographic impact of Masashi Hamaya'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 Masashi Hamaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Hamaya more than expected).

Fields of papers citing papers by Masashi Hamaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masashi Hamaya. 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 Masashi Hamaya. The network helps show where Masashi Hamaya may publish in the future.

Co-authorship network of co-authors of Masashi Hamaya

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Hamaya. A scholar is included among the top collaborators of Masashi Hamaya 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 Masashi Hamaya. Masashi Hamaya 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
# Work Indexed citations
1 0
2 10
3 5
4 5
5 0
6 1
7 1
8 1
9 7
10 2
11 5
12 5
13 10
14 14
15 4
16 3
17 12
18
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer
2
19 20
20 9

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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