Koichi Miyamoto

663 total citations
39 papers, 337 citations indexed

About

Koichi Miyamoto is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Nuclear and High Energy Physics. According to data from OpenAlex, Koichi Miyamoto has authored 39 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Astronomy and Astrophysics and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Koichi Miyamoto's work include Quantum Computing Algorithms and Architecture (13 papers), Cosmology and Gravitation Theories (12 papers) and Quantum Information and Cryptography (9 papers). Koichi Miyamoto is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Cosmology and Gravitation Theories (12 papers) and Quantum Information and Cryptography (9 papers). Koichi Miyamoto collaborates with scholars based in Japan, France and United Kingdom. Koichi Miyamoto's co-authors include Toyokazu Sekiguchi, Kazunori Nakayama, Masahiro Kawasaki, Sachiko Kuroyanagi, Keitaro Takahashi, Joseph Silk, Naoyuki Takeda, Shuichiro Yokoyama, M. Aoyama and Hiroyuki Tashiro and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Chemistry Letters and IEEE Software.

In The Last Decade

Koichi Miyamoto

32 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Miyamoto Japan 12 178 110 91 40 26 39 337
Bryan Ostdiek United States 13 196 1.1× 360 3.3× 91 1.0× 33 0.8× 10 0.4× 23 475
A. P. Kryukov Russia 9 95 0.5× 490 4.5× 44 0.5× 10 0.3× 35 1.3× 62 611
Alexander Mück Germany 13 136 0.8× 532 4.8× 55 0.6× 8 0.2× 14 0.5× 25 586
K. Kajda Poland 6 54 0.3× 309 2.8× 19 0.2× 20 0.5× 20 0.8× 12 358
J. Klappert Germany 8 57 0.3× 419 3.8× 18 0.2× 11 0.3× 17 0.7× 9 496
Eugene Tang United States 4 32 0.2× 37 0.3× 202 2.2× 66 1.6× 21 0.8× 4 253
Sean J. Weinberg United States 12 237 1.3× 238 2.2× 39 0.4× 57 1.4× 12 0.5× 19 337
Rob Verheyen United Kingdom 11 64 0.4× 635 5.8× 91 1.0× 17 0.4× 19 0.7× 20 686
Bradley Mitchell United States 6 30 0.2× 58 0.5× 191 2.1× 181 4.5× 27 1.0× 11 296
C. Studerus Switzerland 9 41 0.2× 721 6.6× 29 0.3× 20 0.5× 27 1.0× 10 772

Countries citing papers authored by Koichi Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Miyamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Miyamoto. A scholar is included among the top collaborators of Koichi Miyamoto 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 Koichi Miyamoto. Koichi Miyamoto 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.
Miyamoto, Koichi, et al.. (2025). Learning Parameter Dependence for Fourier-Based Option Pricing with Tensor Trains. Mathematics. 13(11). 1828–1828.
2.
Miyamoto, Koichi, et al.. (2024). Quantum algorithm for the Vlasov simulation of the large-scale structure formation with massive neutrinos. Physical Review Research. 6(1). 2 indexed citations
3.
4.
Miyamoto, Koichi & Hiroshi Ueda. (2023). Extracting a function encoded in amplitudes of a quantum state by tensor network and orthogonal function expansion. Quantum Information Processing. 22(6). 3 indexed citations
5.
Kobayashi, Nozomu, et al.. (2023). The cross-sectional stock return predictions via quantum neural network and tensor network. Quantum Machine Intelligence. 5(2). 1 indexed citations
6.
Miyamoto, Koichi, Naoki Yamamoto, & Yasubumi Sakakibara. (2023). Quantum Algorithm for Position Weight Matrix Matching. IEEE Transactions on Quantum Engineering. 4. 1–14. 2 indexed citations
7.
Miyamoto, Koichi. (2023). Quantum Metropolis-Hastings algorithm with the target distribution calculated by quantum Monte Carlo integration. Physical Review Research. 5(3). 1 indexed citations
8.
Miyamoto, Koichi, Gonzalo Morrás, Takahiro Yamamoto, Sachiko Kuroyanagi, & Savvas Nesseris. (2022). Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification. Physical Review Research. 4(3). 3 indexed citations
9.
Miyamoto, Koichi. (2022). Bermudan option pricing by quantum amplitude estimation and Chebyshev interpolation. EPJ Quantum Technology. 9(1). 12 indexed citations
10.
Miyamoto, Koichi, Gonzalo Morrás, Takahiro Yamamoto, Sachiko Kuroyanagi, & Savvas Nesseris. (2022). Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification. 788–790. 2 indexed citations
11.
Miyamoto, Koichi. (2021). Quantum algorithms for Monte Carlo integration using pseudo-random numbers. 471. 454–455. 1 indexed citations
12.
Miyamoto, Koichi, et al.. (2021). Linear regression by quantum amplitude estimation and its extension to convex optimization. Physical review. A. 104(2). 5 indexed citations
13.
Miyamoto, Koichi & Kazunori Nakayama. (2013). Cosmological and astrophysical constraints on superconducting cosmic strings. Journal of Cosmology and Astroparticle Physics. 2013(7). 12–12. 16 indexed citations
14.
Kawasaki, Masahiro, et al.. (2012). Non-Gaussian isocurvature perturbations in dark radiation. Journal of Cosmology and Astroparticle Physics. 2012(7). 37–37. 8 indexed citations
15.
Ichige, Koichi, et al.. (2010). C-2-51 Automated Microwave Filter Tuning by Successive Optimization of Zeros of Return Loss Characteristics. 2010(1). 87.
16.
Kawasaki, Masahiro, Koichi Miyamoto, & Kazunori Nakayama. (2010). Gravitational waves from kinks on infinite cosmic strings. Physical review. D. Particles, fields, gravitation, and cosmology. 81(10). 27 indexed citations
17.
Kawasaki, Masahiro, Koichi Miyamoto, & Kazunori Nakayama. (2010). B-mode polarization induced by gravitational waves from kinks on infinite cosmic strings. Physical review. D. Particles, fields, gravitation, and cosmology. 82(10). 4 indexed citations
18.
Hasebe, Koichi, et al.. (2007). Ultrahigh Molecular Weight Ethene Copolymers from Metallocene and Ziegler Catalysts. Macromolecular Symposia. 260(1). 161–164. 8 indexed citations
19.
Miyamoto, Koichi, et al.. (2007). Toyota's New Six-Speed Automatic Transmission AB60E for RWD Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
20.
Nakayama, Masato, et al.. (2003). A 750MHz 144Mb cache DRAM LSI with speed scalable design and programmable at-speed function-array BIST. 1. 458–508. 7 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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