Hiroyuki Kambara

1.3k total citations
48 papers, 958 citations indexed

About

Hiroyuki Kambara is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hiroyuki Kambara has authored 48 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 30 papers in Biomedical Engineering and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hiroyuki Kambara's work include EEG and Brain-Computer Interfaces (28 papers), Muscle activation and electromyography studies (28 papers) and Motor Control and Adaptation (24 papers). Hiroyuki Kambara is often cited by papers focused on EEG and Brain-Computer Interfaces (28 papers), Muscle activation and electromyography studies (28 papers) and Motor Control and Adaptation (24 papers). Hiroyuki Kambara collaborates with scholars based in Japan, United States and Italy. Hiroyuki Kambara's co-authors include Yasuharu Koike, Duk Shin, Makoto Sato, Natsue Yoshimura, Charles S. DaSalla, Yan Li, Masashi Sugiyama, Abdelkader Nasreddine Belkacem, Chao Chen and Ryohei Fukuma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Hiroyuki Kambara

45 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroyuki Kambara Japan 17 850 346 311 160 149 48 958
Zhichuan Tang China 14 442 0.5× 157 0.5× 421 1.4× 77 0.5× 134 0.9× 38 894
Andrés Úbeda Spain 18 838 1.0× 407 1.2× 347 1.1× 61 0.4× 367 2.5× 60 987
Florin Popescu Romania 9 583 0.7× 281 0.8× 142 0.5× 66 0.4× 93 0.6× 34 726
Eduardo Iáñez Spain 20 890 1.0× 431 1.2× 344 1.1× 53 0.3× 348 2.3× 81 1.0k
Andreea Ioana Sburlea Austria 18 862 1.0× 380 1.1× 341 1.1× 50 0.3× 203 1.4× 38 901
Han-Jeong Hwang South Korea 16 849 1.0× 329 1.0× 282 0.9× 72 0.5× 160 1.1× 36 1.1k
Denis Delisle-Rodríguez Brazil 16 411 0.5× 163 0.5× 274 0.9× 66 0.4× 95 0.6× 68 712
Elsa Andrea Kirchner Germany 16 525 0.6× 162 0.5× 293 0.9× 74 0.5× 124 0.8× 54 820
Duk Shin Japan 18 680 0.8× 292 0.8× 328 1.1× 31 0.2× 135 0.9× 50 832
Yunfa Fu China 16 598 0.7× 205 0.6× 164 0.5× 41 0.3× 95 0.6× 91 779

Countries citing papers authored by Hiroyuki Kambara

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Kambara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Kambara

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Kambara. A scholar is included among the top collaborators of Hiroyuki Kambara 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 Hiroyuki Kambara. Hiroyuki Kambara 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.
Kambara, Hiroyuki, et al.. (2021). Investigating Neural Representation of Finger-Movement Directions Using Electroencephalography Independent Components. Journal of Biomedical Science and Engineering. 14(6). 240–265. 1 indexed citations
2.
Kambara, Hiroyuki, Atsushi Takagi, Toshihiro Kawase, et al.. (2021). Computational reproductions of external force field adaption without assuming desired trajectories. Neural Networks. 139. 179–198. 3 indexed citations
3.
Kambara, Hiroyuki, et al.. (2021). Vowel Sound Synthesis from Electroencephalography during Listening and Recalling. SHILAP Revista de lepidopterología. 3(2).
4.
Takagi, Atsushi, Hiroyuki Kambara, & Yasuharu Koike. (2019). Increase in Grasp Force Reflects a Desire to Improve Movement Precision. eNeuro. 6(4). ENEURO.0095–19.2019. 9 indexed citations
5.
Kambara, Hiroyuki, et al.. (2018). Decoding of Ankle Flexion and Extension from Cortical Current Sources Estimated from Non-invasive Brain Activity Recording Methods. Frontiers in Neuroscience. 11. 733–733. 13 indexed citations
6.
Shin, Duk, Hiroyuki Kambara, Natsue Yoshimura, & Yasuharu Koike. (2018). Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate. Computational Intelligence and Neuroscience. 2018. 1–8. 4 indexed citations
7.
Yoshimura, Natsue, et al.. (2017). Decoding finger movement in humans using synergy of EEG cortical current signals. Scientific Reports. 7(1). 11382–11382. 27 indexed citations
8.
Yanagisawa, Takufumi, Duk Shin, Chao Chen, et al.. (2014). Decoding fingertip trajectory from electrocorticographic signals in humans. Neuroscience Research. 85. 20–27. 38 indexed citations
9.
Shin, Duk, et al.. (2014). Control of a Brick-Breaking Game Using Electromyogram. International Journal of Engineering and Technology. 6(2). 128–131. 4 indexed citations
10.
Yoshimura, Natsue, Koji Jimura, Charles S. DaSalla, et al.. (2014). Dissociable neural representations of wrist motor coordinate frames in human motor cortices. NeuroImage. 97. 53–61. 7 indexed citations
11.
Yanagisawa, Takufumi, Duk Shin, Ryohei Fukuma, et al.. (2013). Prediction of Three-Dimensional Arm Trajectories Based on ECoG Signals Recorded from Human Sensorimotor Cortex. PLoS ONE. 8(8). e72085–e72085. 78 indexed citations
12.
Kambara, Hiroyuki, Duk Shin, Toshihiro Kawase, et al.. (2013). The Effect of Temporal Perception on Weight Perception. Frontiers in Psychology. 4. 40–40. 7 indexed citations
13.
Chen, Chao, Duk Shin, Hidenori Watanabe, et al.. (2013). Prediction of Hand Trajectory from Electrocorticography Signals in Primary Motor Cortex. PLoS ONE. 8(12). e83534–e83534. 33 indexed citations
14.
Shin, Duk, Hidenori Watanabe, Hiroyuki Kambara, et al.. (2012). Prediction of Muscle Activities from Electrocorticograms in Primary Motor Cortex of Primates. PLoS ONE. 7(10). e47992–e47992. 56 indexed citations
15.
Kambara, Hiroyuki, et al.. (2011). Learning Strategy in Time-to-Contact Estimation of Falling Objects. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(8). 972–979. 3 indexed citations
16.
Kambara, Hiroyuki, et al.. (2010). A Dictionary-Driven P300 Speller With a Modified Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(1). 6–14. 33 indexed citations
17.
DaSalla, Charles S., Hiroyuki Kambara, Makoto Sato, & Yasuharu Koike. (2009). Single-trial classification of vowel speech imagery using common spatial patterns. Neural Networks. 22(9). 1334–1339. 185 indexed citations
18.
Kambara, Hiroyuki, Kyoungsik Kim, Duk Shin, Makoto Sato, & Yasuharu Koike. (2008). Learning and generation of goal-directed arm reaching from scratch. Neural Networks. 22(4). 348–361. 23 indexed citations
19.
Kambara, Hiroyuki, et al.. (2006). Learning and control model of arm posture.. 938–945. 1 indexed citations
20.
Kambara, Hiroyuki, et al.. (2005). Learning arm's posture control using reinforcement learning and feedback-error-learning. PubMed. 3. 486–489. 7 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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