Naoki Kanazawa

4.2k total citations · 1 hit paper
26 papers, 1.5k citations indexed

About

Naoki Kanazawa is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Naoki Kanazawa has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 14 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Naoki Kanazawa's work include Quantum Computing Algorithms and Architecture (10 papers), Magnetic properties of thin films (10 papers) and Quantum Information and Cryptography (10 papers). Naoki Kanazawa is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Magnetic properties of thin films (10 papers) and Quantum Information and Cryptography (10 papers). Naoki Kanazawa collaborates with scholars based in Japan, United States and Russia. Naoki Kanazawa's co-authors include Daiju Nakano, J. B. Héroux, Hidetoshi Numata, Gouhei Tanaka, Akira Hirose, Ryosho Nakane, Seiji Takeda, Toshiyuki Yamane, Mitsuteru Inoue and Taichi Goto and has published in prestigious journals such as Nature, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Naoki Kanazawa

26 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent advances in physical reservoir computing: A review

2019 1.3k citations Gouhei Tanaka, Toshiyuki Yamane et al. Neural Networks profile →

Peers

Naoki Kanazawa

AI

EEE

CN

AMPO

SNP

Hidetoshi Numata Japan

J. B. Héroux United States

Mathieu Riou France

Daiju Nakano Japan

Bruno Romeira Portugal

Mitchell A. Nahmias United States

Yoshihiko Horio Japan

J. M. L. Figueiredo Portugal

Toshiyuki Yamane Japan

Martin Fiers Belgium

Hidetoshi Numata Japan

Naoki Kanazawa

1.1k ×0.9

AI

1.3k ×1.2

EEE

389 ×1.0

CN

125 ×0.5

AMPO

102 ×1.0

SNP

Citations per year, relative to Naoki Kanazawa Naoki Kanazawa (= 1×) peers Hidetoshi Numata

Countries citing papers authored by Naoki Kanazawa

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Kanazawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kanazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kanazawa. A scholar is included among the top collaborators of Naoki Kanazawa 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 Naoki Kanazawa. Naoki Kanazawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Daimon, Shunsuke, et al.. (2024). Dynamics of measurement-induced state transitions in superconducting qubits. Journal of Applied Physics. 136(12). 1 indexed citations

2.

Itoko, Toshinari, et al.. (2024). Three-qubit parity gate via simultaneous cross-resonance drives. Physical Review Applied. 21(3). 8 indexed citations

3.

Malekakhlagh, Moein, et al.. (2024). Floquet analysis of frequency collisions. Physical Review Applied. 21(2). 3 indexed citations

4.

Daimon, Shunsuke, et al.. (2023). Detection of temporal fluctuation in superconducting qubits for quantum error mitigation. Applied Physics Letters. 123(18). 6 indexed citations

5.

Kanazawa, Naoki, Daniel J. Egger, Yael Ben‐Haim, et al.. (2023). Qiskit Experiments: A Python package to characterizeand calibrate quantum computers. The Journal of Open Source Software. 8(84). 5329–5329. 27 indexed citations

6.

Landa, Haggai, et al.. (2022). Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multiqubit devices. Physical Review Research. 4(1). 8 indexed citations

7.

Iiyama, Y., et al.. (2022). Stable Toffoli Gate on Fixed-Frequency Superconducting Qutrits. 96. 869–872. 1 indexed citations

8.

Galda, Alexey, et al.. (2021). Toffoli Gate Depth Reduction in Fixed Frequency Transmon Qutrits. Bulletin of the American Physical Society. 2 indexed citations

9.

Kanazawa, Naoki, et al.. (2021). Cross-Cross Resonance Gate. PRX Quantum. 2(4). 15 indexed citations

10.

Kanazawa, Naoki, Haggai Landa, David McKay, et al.. (2020). Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate. arXiv (Cornell University). 1 indexed citations

11.

Tanaka, Gouhei, Toshiyuki Yamane, J. B. Héroux, et al.. (2019). Recent advances in physical reservoir computing: A review. Neural Networks. 115. 100–123. 1256 indexed citations breakdown →

12.

Héroux, J. B., Hidetoshi Numata, Naoki Kanazawa, & Daiju Nakano. (2018). Optoelectronic Reservoir Computing with VCSEL. 1–6. 6 indexed citations

13.

Kanazawa, Naoki, Taichi Goto, Koji Sekiguchi, et al.. (2017). The role of Snell’s law for a magnonic majority gate. Scientific Reports. 7(1). 7898–7898. 45 indexed citations

14.

Goto, Taichi, Naoki Kanazawa, Hiroyuki Takagi, et al.. (2017). Extremely flat transmission band of forward volume spin wave using gold and yttrium iron garnet. Journal of Physics D Applied Physics. 50(27). 275001–275001. 10 indexed citations

15.

Kanazawa, Naoki, Taichi Goto, Koji Sekiguchi, et al.. (2016). Demonstration of a robust magnonic spin wave interferometer. Nature. 2 indexed citations

16.

Kanazawa, Naoki, Taichi Goto, Koji Sekiguchi, et al.. (2016). Demonstration of a robust magnonic spin wave interferometer. Scientific Reports. 6(1). 30268–30268. 44 indexed citations

17.

Kanazawa, Naoki, et al.. (2015). Metal thickness dependence on spin wave propagation in magnonic crystal using yttrium iron garnet. Journal of Applied Physics. 117(17). 13 indexed citations

18.

Kanazawa, Naoki, Kenji Matsuda, Takashi Hasegawa, et al.. (2015). Spin wave isolator based on frequency displacement nonreciprocity in ferromagnetic bilayer. Journal of Applied Physics. 117(17). 12 indexed citations

19.

Kanazawa, Naoki, Taichi Goto, & Mitsuteru Inoue. (2014). Spin wave localization in one-dimensional magnonic microcavity comprising yttrium iron garnet. Journal of Applied Physics. 116(8). 12 indexed citations

20.

Kanazawa, Naoki, et al.. (1994). Electron Cyclotron Resonance Discharge of Sublimation Gas of Decaborane and Its Application to Preparation of Boron Thin Films. Japanese Journal of Applied Physics. 33(7S). 4251–4251. 5 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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