Shozo Tobimatsu

5.1k total citations
220 papers, 3.8k citations indexed

About

Shozo Tobimatsu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Shozo Tobimatsu has authored 220 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Cognitive Neuroscience, 37 papers in Cellular and Molecular Neuroscience and 33 papers in Molecular Biology. Recurrent topics in Shozo Tobimatsu's work include Neural dynamics and brain function (63 papers), Visual perception and processing mechanisms (54 papers) and EEG and Brain-Computer Interfaces (32 papers). Shozo Tobimatsu is often cited by papers focused on Neural dynamics and brain function (63 papers), Visual perception and processing mechanisms (54 papers) and EEG and Brain-Computer Interfaces (32 papers). Shozo Tobimatsu collaborates with scholars based in Japan, United States and Canada. Shozo Tobimatsu's co-authors include Motohiro Kato, Jun‐ichi Kira, Katsuya Ogata, Yoshinobu Goto, Takao Yamasaki, Gastone G. Celesia, Takayuki Taniwaki, Hiroshi Shigeto, Ritsuko Fukui and Takashi Yoshiura and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shozo Tobimatsu

214 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shozo Tobimatsu Japan 32 2.3k 621 609 528 452 220 3.8k
Peter Dechent Germany 43 2.6k 1.1× 506 0.8× 490 0.8× 988 1.9× 585 1.3× 154 5.4k
Peter H. Weiss Germany 43 4.1k 1.8× 1.1k 1.7× 519 0.9× 780 1.5× 284 0.6× 172 6.6k
Taina Autti Finland 43 1.9k 0.8× 232 0.4× 317 0.5× 345 0.7× 687 1.5× 119 4.7k
Lars Michels Switzerland 37 2.1k 0.9× 296 0.5× 476 0.8× 411 0.8× 156 0.3× 127 3.9k
María A. Pastor Spain 33 2.1k 0.9× 1.2k 1.9× 618 1.0× 810 1.5× 215 0.5× 98 4.1k
Nobukatsu Sawamoto Japan 35 2.0k 0.9× 821 1.3× 513 0.8× 403 0.8× 175 0.4× 113 3.9k
Alain Vighetto France 42 3.8k 1.6× 1.3k 2.0× 833 1.4× 903 1.7× 649 1.4× 191 6.8k
H. Shibasaki Japan 39 3.0k 1.3× 1.5k 2.4× 708 1.2× 1.1k 2.1× 213 0.5× 151 5.4k
Patrick Santens Belgium 36 1.2k 0.5× 1.6k 2.6× 591 1.0× 561 1.1× 561 1.2× 180 4.1k
Benno Gesierich Germany 30 2.1k 0.9× 703 1.1× 211 0.3× 610 1.2× 255 0.6× 70 4.4k

Countries citing papers authored by Shozo Tobimatsu

Since Specialization
Citations

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

Fields of papers citing papers by Shozo Tobimatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shozo Tobimatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Shozo Tobimatsu. A scholar is included among the top collaborators of Shozo Tobimatsu 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 Shozo Tobimatsu. Shozo Tobimatsu 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.
2.
Sugi, Takenao, et al.. (2019). The effect of stimulus pattern, color combination and flicker frequency on steady-state visual evoked potentials topography. International journal of innovative computing, information & control. 15(4). 1521–1530. 1 indexed citations
3.
Yamasaki, Takao, Toshihiko Aso, Yumiko Kaseda, et al.. (2019). Decreased stimulus-driven connectivity of the primary visual cortex during visual motion stimulation in amnestic mild cognitive impairment: An fMRI study. Neuroscience Letters. 711. 134402–134402. 5 indexed citations
4.
Hironaga, Naruhito, et al.. (2017). Spatiotemporal brain dynamics of auditory temporal assimilation. Scientific Reports. 7(1). 11400–11400. 8 indexed citations
5.
Ogata, Katsuya, et al.. (2016). Phase and Frequency-Dependent Effects of Transcranial Alternating Current Stimulation on Motor Cortical Excitability. PLoS ONE. 11(9). e0162521–e0162521. 45 indexed citations
6.
Nakajima, Yoshitaka, et al.. (2014). An Electrophysiological Study on Intra- and Inter-modal Duration Discrimination: Effects of Performance Level. Cognitive Science. 36(36). 2 indexed citations
7.
Grondin, Simon, et al.. (2014). Does spatiotemporal integration occur with single empty time intervals instead of two neighboring intervals in the visual modality. Cognitive Science. 36(36). 1 indexed citations
8.
Maekawa, Toshihiko, Junji Kishimoto, Toshiaki Onitsuka, et al.. (2013). Altered visual information processing systems in bipolar disorder: evidence from visual MMN and P3. Frontiers in Human Neuroscience. 7. 403–403. 31 indexed citations
9.
Ogata, Katsuya, Takashi Yoshiura, Yoji Hirano, et al.. (2011). Spatiotemporal signatures of an abnormal auditory system in stuttering. NeuroImage. 55(3). 891–899. 58 indexed citations
10.
Holder, Graham E., Gastone G. Celesia, Yozo Miyake, Shozo Tobimatsu, & Richard G. Weleber. (2010). International Federation of Clinical Neurophysiology: Recommendations for visual system testing. Clinical Neurophysiology. 121(9). 1393–1409. 67 indexed citations
11.
Goto, Yoshinobu, Takao Yamasaki, & Shozo Tobimatsu. (2010). Innovation for visual stimuli: From the retina to primary visual cortex. 2003. 142–145. 1 indexed citations
12.
Taniwaki, Takayuki, Akira Okayama, Takashi Yoshiura, et al.. (2007). Age-related alterations of the functional interactions within the basal ganglia and cerebellar motor loops in vivo. NeuroImage. 36(4). 1263–1276. 50 indexed citations
13.
Ge, Sheng, et al.. (2007). NIRS measurement of hemodynamic evoked responses in the primary sensorimotor cortex.. 2492–2495. 1 indexed citations
14.
Yamasaki, Takao, Takayuki Taniwaki, Shozo Tobimatsu, et al.. (2004). Electrophysiological correlates of associative visual agnosia lesioned in the ventral pathway. Journal of the Neurological Sciences. 221(1-2). 53–60. 16 indexed citations
15.
Goto, Yoshinobu, et al.. (2000). Recovery of brain dysfunction after methylmercury exposure in rats. Journal of the Neurological Sciences. 182(1). 61–68. 11 indexed citations
16.
Goto, Yoshinobu, et al.. (1999). Properties of rat cone-mediated electroretinograms during light adaptation. Current Eye Research. 19(3). 248–253. 11 indexed citations
17.
Tobimatsu, Shozo, et al.. (1995). Parvocellular and magnocellular contributions to visual evoked potentials in humans: stimulation with chromatic and achromatic gratings and apparent motion. Journal of the Neurological Sciences. 134(1-2). 73–82. 57 indexed citations
18.
Tobimatsu, Shozo, et al.. (1990). Research report: Changes in pupillary diameter to checkerboard pattern-reversal stimulation. 5(4). 427–431. 2 indexed citations
19.
Tobimatsu, Shozo, et al.. (1988). Effects of pupil diameter and luminance changes on pattern electroretinograms and visual evoked potentials. 2(4). 293–302. 21 indexed citations
20.

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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