Toshimitsu Musha

2.5k total citations · 1 hit paper
89 papers, 1.9k citations indexed

About

Toshimitsu Musha is a scholar working on Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Toshimitsu Musha has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 22 papers in Cognitive Neuroscience and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Toshimitsu Musha's work include EEG and Brain-Computer Interfaces (14 papers), Radar Systems and Signal Processing (13 papers) and Neural dynamics and brain function (13 papers). Toshimitsu Musha is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Radar Systems and Signal Processing (13 papers) and Neural dynamics and brain function (13 papers). Toshimitsu Musha collaborates with scholars based in Japan, Sweden and United States. Toshimitsu Musha's co-authors include Masanori Kobayashi, S. Homma, Bin He, Yoshiwo Okamoto, Yoshio Nakajima, Matsuo Sekine, Toshio Sato, Kenichi Harumi, Gen Matsumoto and Yasuaki Teramachi and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Toshimitsu Musha

82 papers receiving 1.8k citations

Hit Papers

1/f Fluctuation of Heartbeat Period 1982 2026 1996 2011 1982 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshimitsu Musha Japan 21 606 508 267 266 253 89 1.9k
А. Н. Павлов Russia 23 774 1.3× 221 0.4× 397 1.5× 174 0.7× 122 0.5× 181 2.0k
Б. П. Безручко Russia 26 508 0.8× 433 0.9× 606 2.3× 321 1.2× 70 0.3× 106 1.6k
B. Galdrikian United States 10 1.1k 1.7× 421 0.8× 1.1k 4.0× 175 0.7× 153 0.6× 15 3.3k
Sebastiano Stramaglia Italy 28 1.7k 2.8× 289 0.6× 405 1.5× 117 0.4× 39 0.2× 143 3.0k
Sylvie Oliffson Kamphorst Brazil 11 581 1.0× 277 0.5× 1.5k 5.6× 229 0.9× 124 0.5× 19 3.4k
V. Protopopescu United States 19 274 0.5× 56 0.1× 395 1.5× 88 0.3× 130 0.5× 90 1.6k
Govindan Rangarajan India 26 953 1.6× 55 0.1× 676 2.5× 101 0.4× 111 0.4× 82 2.7k
Mark L. Spano United States 32 1.0k 1.7× 513 1.0× 2.9k 11.0× 172 0.6× 261 1.0× 90 5.0k
L.M. Hively United States 17 401 0.7× 69 0.1× 286 1.1× 87 0.3× 62 0.2× 59 1.3k
William M. Carey United States 20 182 0.3× 124 0.2× 60 0.2× 269 1.0× 275 1.1× 101 2.5k

Countries citing papers authored by Toshimitsu Musha

Since Specialization
Citations

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

Fields of papers citing papers by Toshimitsu Musha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimitsu Musha

This figure shows the co-authorship network connecting the top 25 collaborators of Toshimitsu Musha. A scholar is included among the top collaborators of Toshimitsu Musha 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 Toshimitsu Musha. Toshimitsu Musha 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.
Musha, Toshimitsu, et al.. (2003). Dynamic simulation of electrical phenomena in the human heart. 181–182.
2.
Nakao, Mitsuyuki, et al.. (1993). Further study on 1/f fluctuations observed in central single neurons during REM sleep. Biological Cybernetics. 68(3). 193–198. 22 indexed citations
3.
Nakajima, Yoshio, et al.. (1992). Estimation of neural architecture in human brain by means of the dipole tracing method. Neuroscience Letters. 136(2). 169–172. 5 indexed citations
4.
He, Bin & Toshimitsu Musha. (1992). Equivalent dipole estimation of spontaneous EEG alpha activity: two-moving dipole approach. Medical & Biological Engineering & Computing. 30(3). 324–332. 19 indexed citations
5.
Homma, S., Yoshikata Nakajima, Toshimitsu Musha, et al.. (1990). Generator mechanisms of epileptic potentials analyzed by dipole tracing method. Neuroscience Letters. 113(2). 181–186. 20 indexed citations
6.
Musha, Toshimitsu & S. Homma. (1990). Do optimal Dipoles obtained by the Dipole Tracing Method slways suggest true source locations?. Brain Topography. 3(1). 143–150. 39 indexed citations
7.
Wei, Daming, et al.. (1990). Clinical application of electrocardiographic computer model. Journal of Electrocardiology. 22. 54–63. 14 indexed citations
8.
Nakao, Mitsuyuki, et al.. (1989). An interpretation of 1/f fluctuations in neuronal spike trains during dream sleep. Biological Cybernetics. 60(3). 161–169. 28 indexed citations
9.
Aoki, Masanori, et al.. (1988). On the relations between the excitation fronts propagating in the heart and the equivalent dipoles. IEEE Transactions on Biomedical Engineering. 35(5). 352–356.
10.
He, Bin, Toshimitsu Musha, Yoshiwo Okamoto, et al.. (1987). Electric Dipole Tracing in the Brain by Means of the Boundary Element Method and Its Accuracy. IEEE Transactions on Biomedical Engineering. BME-34(6). 406–414. 265 indexed citations
11.
Homma, S., Yoshio Nakajima, Toshimitsu Musha, Yoshio Okamoto, & Bin He. (1987). Dipole-tracing method applied to human brain potentials. Journal of Neuroscience Methods. 21(2-4). 195–200. 39 indexed citations
12.
Sekine, Matsuo, et al.. (1986). Discrimination of radar clutter by texture analysis. IEE Proceedings F Communications, Radar and Signal Processing. 133(3). 257–263.
13.
Sekine, Matsuo, et al.. (1985). Weibull-distributed ground clutter in the frequency domain. 68(6). 365–370. 5 indexed citations
14.
Harumi, Kenichi, et al.. (1985). Dipolarity and dipole location during QRS and T waves in normal men estimated from body surface potential distribution.. Japanese Heart Journal. 26(3). 319–334. 10 indexed citations
15.
Musha, Toshimitsu, et al.. (1984). Noise and clutter rejection in radars and imaging sensors : proceedings of the 1984 International Symposium on noise and clutter rejection in radars and imaging sensors, October 22-24, Tokyo, Japan. North-Holland eBooks. 1 indexed citations
16.
Homma, S., Toshimitsu Musha, Yoshio Nakajima, & Yoshio Okamoto. (1984). Estimation of the rising phase of EPSP analyzed by computer simulation of the coding process. Neuroscience Research. 1(1). 53–65. 7 indexed citations
17.
Sekine, Matsuo, et al.. (1983). Weibull-Distributed sea clutter. IEE Proceedings F Communications, Radar and Signal Processing. 130(5). 476. 17 indexed citations
18.
Nakazawa, Masataka, et al.. (1981). Preliminary experiment for optical heterodyne communication with a single-mode optical fiber by using frequency-stabilized He–Ne lasers. Optics Letters. 6(10). 508–508. 1 indexed citations
19.
Teramachi, Yasuaki, et al.. (1979). Frequency Response of a Quartz Oscillator to Temperature Fluctuation. 235–238. 2 indexed citations
20.
Nakazawa, Masataka, Toshiharu Tako, & Toshimitsu Musha. (1979). Observation of Saturated Absorption of the 3.39 µm Line in an External CH4Cell. Japanese Journal of Applied Physics. 18(3). 597–602. 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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