H. Nishimura

6.8k total citations
291 papers, 4.1k citations indexed

About

H. Nishimura is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, H. Nishimura has authored 291 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Nuclear and High Energy Physics, 89 papers in Mechanics of Materials and 65 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in H. Nishimura's work include Laser-Plasma Interactions and Diagnostics (83 papers), Laser-induced spectroscopy and plasma (79 papers) and Neural dynamics and brain function (56 papers). H. Nishimura is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (83 papers), Laser-induced spectroscopy and plasma (79 papers) and Neural dynamics and brain function (56 papers). H. Nishimura collaborates with scholars based in Japan, United States and Germany. H. Nishimura's co-authors include Nobuyuki Matsui, Sou Nobukawa, Teijiro Isokawa, Teruya Yamanishi, Shinsuke Fujioka, Ferdinand Peper, H. Shiraga, Katsunobu Nishihara, Naotake Kamiura and K. Mima and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

H. Nishimura

268 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Nishimura Japan 35 1.5k 1.4k 1.1k 841 581 291 4.1k
Akira Hirose Japan 40 1.7k 1.2× 895 0.6× 756 0.7× 2.5k 3.0× 2.4k 4.2× 554 8.7k
Abhijit Sen India 35 1.4k 0.9× 230 0.2× 2.8k 2.4× 108 0.1× 573 1.0× 265 5.7k
H. R. Wilson United Kingdom 45 7.5k 5.1× 86 0.1× 368 0.3× 243 0.3× 578 1.0× 179 9.0k
R. G. Jahn United States 25 422 0.3× 372 0.3× 711 0.6× 137 0.2× 1.5k 2.6× 155 2.9k
V. I. Arnold Russia 2 573 0.4× 220 0.2× 1000 0.9× 170 0.2× 149 0.3× 3 5.6k
Laurent Daudet France 24 154 0.1× 116 0.1× 470 0.4× 648 0.8× 326 0.6× 100 3.6k
M. Bertero Italy 31 137 0.1× 300 0.2× 960 0.8× 210 0.2× 515 0.9× 160 5.4k
N. Andersen Denmark 30 208 0.1× 452 0.3× 2.5k 2.2× 243 0.3× 219 0.4× 185 3.9k
I. M. Gel'fand Russia 40 578 0.4× 141 0.1× 663 0.6× 170 0.2× 101 0.2× 152 6.5k
Juan Campos Spain 32 152 0.1× 654 0.5× 2.5k 2.2× 220 0.3× 845 1.5× 375 5.5k

Countries citing papers authored by H. Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by H. Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of H. Nishimura. A scholar is included among the top collaborators of H. Nishimura 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 H. Nishimura. H. Nishimura 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.
Nobukawa, Sou, et al.. (2024). Controlling Chaotic Resonance with Extremely Local-Specific Feedback Signals. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E107.A(8). 1106–1114.
2.
Nobukawa, Sou, et al.. (2024). Emergence of chaotic resonance controlled by extremely weak feedback signals in neural systems. Frontiers in Applied Mathematics and Statistics. 10.
3.
Nobukawa, Sou, H. Nishimura, & Teruya Yamanishi. (2019). Pattern Classification by Spiking Neural Networks Combining Self-Organized and Reward-Related Spike-Timing-Dependent Plasticity. Journal of Artificial Intelligence and Soft Computing Research. 9(4). 283–291. 9 indexed citations
4.
Arikawa, Yasunobu, Y. Abe, Akifumi Yogo, et al.. (2018). A large-aperture high-sensitivity avalanche image intensifier panel. Review of Scientific Instruments. 89(10). 10I128–10I128. 2 indexed citations
5.
Abe, Y., N. Nakajima, Yoshifumi Sakaguchi, et al.. (2018). A multichannel gated neutron detector with reduced afterpulse for low-yield neutron measurements in intense hard X-ray backgrounds. Review of Scientific Instruments. 89(10). 10I114–10I114. 3 indexed citations
6.
Matsubara, Yoshitomo, et al.. (2015). A New Biometrics Technique with Flick Operation on Electronic Device. IEICE Technical Report; IEICE Tech. Rep.. 115(266). 91–96. 1 indexed citations
7.
Matsubara, Yoshitomo, et al.. (2013). Performance assessment in keystroke dynamics by combined profile documents for free text typing. Society of Instrument and Control Engineers of Japan. 265–270. 5 indexed citations
8.
Nobukawa, Sou & H. Nishimura. (2013). Characteristic of signal response in coupled inferior olive neurons with Velarde-Llinás model. Society of Instrument and Control Engineers of Japan. 1367–1374. 5 indexed citations
9.
Nishimura, H., et al.. (2011). Keystroke timing analysis for personal authentication in Japanese long text input. Society of Instrument and Control Engineers of Japan. 2121–2126. 5 indexed citations
10.
Nobukawa, Sou, H. Nishimura, Teruya Yamanishi, & Jian‐Qin Liu. (2011). Signal response efficiency in Izhikevich neuron model. Society of Instrument and Control Engineers of Japan. 1242–1247. 3 indexed citations
11.
Liu, Jian‐Qin, et al.. (2011). Decoding an Unknown Channel with Correlated Signals. IEICE Technical Report; IEICE Tech. Rep.. 111(275). 1–4.
12.
Isokawa, Teijiro, et al.. (2010). Performance analysis of complex-valued neural networks with stochastic resonance. Society of Instrument and Control Engineers of Japan. 233–237.
13.
Nishimura, H., et al.. (2009). Keystroke timing analysis for individual identification in Japanese free text typing. 2009 ICCAS-SICE. 3166–3170. 14 indexed citations
14.
Isokawa, Teijiro, et al.. (2008). On the Scheme of Quaternionic Multistate Hopfield Neural Network. 2008. 809–813. 34 indexed citations
15.
Matsui, Nobuyuki, et al.. (2004). Reinforcement learning using chaotic exploration in maze world. Society of Instrument and Control Engineers of Japan. 2. 1368–1371.
16.
Nishimura, H., et al.. (2001). A Fractal Evaluation of School Movement Patterns Using Fish Behavior Models. 42(6). 1592–1600. 3 indexed citations
17.
Matsui, Nobuyuki, et al.. (1999). A Learning Network Based on Qubit-Like Neuron Model.. Applied Informatics. 679–682. 7 indexed citations
18.
Nishimura, H., et al.. (1999). A Scheme of Reinforcement Adaptation Based on a Chaotic Neural Network. Transactions of the Institute of Systems Control and Information Engineers. 12(10). 604–613. 2 indexed citations
19.
Nishimura, H., et al.. (1997). A Perception Model of Ambiguous Figures Based on the Neural Chaos.. International Conference on Neural Information Processing. 89–92. 2 indexed citations
20.
Nishimura, H., et al.. (1995). Fractal Analysis of One - dimensional Cellular Automata as Time - series Vectors. 36(4). 787–796. 1 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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