Kazutomo Yunokuchi

820 total citations
42 papers, 613 citations indexed

About

Kazutomo Yunokuchi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Kazutomo Yunokuchi has authored 42 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Control and Systems Engineering. Recurrent topics in Kazutomo Yunokuchi's work include Muscle activation and electromyography studies (7 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Neuroscience and Neural Engineering (6 papers). Kazutomo Yunokuchi is often cited by papers focused on Muscle activation and electromyography studies (7 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Neuroscience and Neural Engineering (6 papers). Kazutomo Yunokuchi collaborates with scholars based in Japan, United States and Poland. Kazutomo Yunokuchi's co-authors include Christopher Purcell, Roman Maniewski, David Cohen, John R. Ives, Donald L. Schomer, G. Rees Cosgrove, B. Neil Cuffin, John G. Kennedy, David I. Cohen and Sei‐ichi Tsujimura and has published in prestigious journals such as Annals of Neurology, Journal of Neurophysiology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Kazutomo Yunokuchi

36 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazutomo Yunokuchi Japan 8 379 134 119 81 67 42 613
Nima Dehghani United States 14 1.0k 2.6× 64 0.5× 443 3.7× 71 0.9× 36 0.5× 22 1.1k
Romain Bouet France 16 594 1.6× 83 0.6× 138 1.2× 25 0.3× 47 0.7× 47 851
Changming Wang China 18 613 1.6× 32 0.2× 97 0.8× 17 0.2× 63 0.9× 63 801
Pedro A. Valdés-Hernández United States 11 559 1.5× 346 2.6× 91 0.8× 15 0.2× 44 0.7× 35 886
Giovanni Piantoni United States 16 879 2.3× 85 0.6× 171 1.4× 105 1.3× 25 0.4× 24 1.0k
Charles-Francois V. Latchoumane South Korea 16 776 2.0× 22 0.2× 367 3.1× 79 1.0× 72 1.1× 30 1.1k
Christophe C. Jouny United States 19 931 2.5× 46 0.3× 236 2.0× 123 1.5× 29 0.4× 28 1.2k
Cesare Magri Germany 10 967 2.6× 112 0.8× 411 3.5× 24 0.3× 17 0.3× 15 1.1k
Tomer Fekete United States 16 484 1.3× 153 1.1× 123 1.0× 15 0.2× 31 0.5× 29 721

Countries citing papers authored by Kazutomo Yunokuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kazutomo Yunokuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutomo Yunokuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutomo Yunokuchi. A scholar is included among the top collaborators of Kazutomo Yunokuchi 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 Kazutomo Yunokuchi. Kazutomo Yunokuchi 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.
Oiwa, Kosuke, et al.. (2016). Examination of the Influence by the Stimulation Coil Arrangement and the Shape of the Stimulation Object in Transcranial Magnetic Stimulation Using a Model. Electronics and Communications in Japan. 99(5). 20–26. 1 indexed citations
2.
Yunokuchi, Kazutomo, et al.. (2016). Speech Replica Based on the Connection Model. 21(2). 11. 1 indexed citations
3.
Yunokuchi, Kazutomo, et al.. (2014). An Augmented Automatic Choosing Control of a Formal Linearization Filter Type for Nonlinear Systems. Journal of Signal Processing. 18(1). 63–70. 1 indexed citations
4.
Yunokuchi, Kazutomo, et al.. (2012). Augmented Automatic Choosing Control of Modified Filter Type for Nonlinear Noisy Measurement Systems. Journal of Signal Processing. 16(6). 563–569. 4 indexed citations
5.
Yamada, Masafumi, et al.. (2011). Study of an interaction between haptic, auditory and visual. IEICE Technical Report; IEICE Tech. Rep.. 110(399). 121–124. 1 indexed citations
6.
Tsujimura, Sei‐ichi, et al.. (2009). Application of Pulsed Magnetic Stimulation for Recovery from Muscle Fatigue in Hypokalemic and Normal Wistar Rats. 47(1). 57–63. 3 indexed citations
7.
Yunokuchi, Kazutomo, et al.. (2005). Magnetic Field Fluctuation Due to Movement of Automobile. IEEJ Transactions on Fundamentals and Materials. 125(2). 92–98. 4 indexed citations
8.
Wang, Gang, et al.. (2004). Analysis of EEG Coherence during Working Memory with Aging. 103(637). 77–82. 1 indexed citations
9.
Wang, Gang & Kazutomo Yunokuchi. (2002). Cuasality of Frontal and Occipital Alpha Activity Revealed by Directed Coherence. IEICE Transactions on Information and Systems. 85(8). 1334–1340. 4 indexed citations
10.
Wang, Gang, et al.. (2002). Properties of EEG Power Spectrum Relating to Working Memory. 40(1). 7–12.
11.
Kamata, Ken, et al.. (2000). Measurements of Geomagnetic Field Caused by the Volcanic Activity of Mount Sakurajima Using a SQUID Magnetometer.. Journal of the Magnetics Society of Japan. 24(4−2). 867–870.
12.
Wang, Gang, et al.. (2000). Different distribution of nifedipine- and ω-conotoxin GVIA-sensitive Ca2+ channels in rat hippocampal neurons. Neuroreport. 11(11). 2419–2423. 4 indexed citations
13.
Kamata, Ken, et al.. (1999). Examination on Magnetic Noises due to Movement of Object Composed of Magnetic Materials.. Journal of the Magnetics Society of Japan. 23(4−2). 1509–1512. 2 indexed citations
14.
Uchida, Sae, et al.. (1999). Frequency response of evoked potential in normal and diseased nerve muscle. IEEE Engineering in Medicine and Biology Magazine. 18(6). 27–32. 2 indexed citations
15.
Yoshida, Hiroshi, Tetsuro Tanaka, & Kazutomo Yunokuchi. (1998). Positive Controllability Test of Discrete-Time Linear Systems. Transactions of the Society of Instrument and Control Engineers. 34(11). 1603–1610. 2 indexed citations
16.
Kamata, Ken, Kazutomo Yunokuchi, Kenichi Yamazaki, et al.. (1998). Examination of Low-Frequency Magnetic Field Noises at Kagoshima University. Journal of the Magnetics Society of Japan. 22(4_2). 749–752. 2 indexed citations
17.
Yoshida, Hiroshi, et al.. (1994). Controllability of Multiple Input Discrete-Time Linear Systems with Positive Controls. Transactions of the Society of Instrument and Control Engineers. 30(3). 243–252. 3 indexed citations
18.
Yunokuchi, Kazutomo & David I. Cohen. (1991). Developing a More Focal Magnetic Stimulator. Part II. Journal of Clinical Neurophysiology. 8(1). 112–120. 39 indexed citations
19.
Cuffin, B. Neil, David Cohen, Kazutomo Yunokuchi, et al.. (1991). Tests of EEG localization accuracy using implanted sources in the human brain. Annals of Neurology. 29(2). 132–138. 105 indexed citations
20.
Cohen, David, B. Neil Cuffin, Kazutomo Yunokuchi, et al.. (1990). MEG versus EEG localization test using implanted sources in the human brain. Annals of Neurology. 28(6). 811–817. 230 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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