Y. Nakamura

2.0k total citations
158 papers, 1.5k citations indexed

About

Y. Nakamura is a scholar working on Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Y. Nakamura has authored 158 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Atomic and Molecular Physics, and Optics, 49 papers in Computer Networks and Communications and 48 papers in Computational Theory and Mathematics. Recurrent topics in Y. Nakamura's work include Cellular Automata and Applications (47 papers), Magnetic properties of thin films (43 papers) and Physics of Superconductivity and Magnetism (39 papers). Y. Nakamura is often cited by papers focused on Cellular Automata and Applications (47 papers), Magnetic properties of thin films (43 papers) and Physics of Superconductivity and Magnetism (39 papers). Y. Nakamura collaborates with scholars based in Japan, China and United States. Y. Nakamura's co-authors include Yuh Shiohara, Yoshihiro Okamoto, Hisashi Osawa, H. Muraoka, T. Izumi, Yasushi Kanai, Teruo Izumi, Ayumi Endo, Hiroyuki Fujimoto and Masato Yamashita and has published in prestigious journals such as Journal of Applied Physics, Journal of Materials Processing Technology and Japanese Journal of Applied Physics.

In The Last Decade

Y. Nakamura

137 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Nakamura Japan 20 607 422 344 337 311 158 1.5k
M. Fatih Erden United States 18 201 0.3× 1.1k 2.6× 313 0.9× 287 0.9× 386 1.2× 50 1.9k
A. Alan Middleton United States 26 1.4k 2.3× 619 1.5× 542 1.6× 177 0.5× 244 0.8× 47 2.5k
Yasushi Kanai Japan 17 163 0.3× 929 2.2× 110 0.3× 302 0.9× 413 1.3× 210 1.3k
M. Williams United States 12 129 0.2× 533 1.3× 76 0.2× 195 0.6× 173 0.6× 43 911
C. Serpico Italy 24 691 1.1× 1.8k 4.2× 155 0.5× 71 0.2× 808 2.6× 172 2.4k
Guolin Yu China 15 388 0.6× 308 0.7× 315 0.9× 132 0.4× 401 1.3× 106 1.1k
Peter Oswald Germany 24 114 0.2× 151 0.4× 55 0.2× 492 1.5× 372 1.2× 80 2.0k
Tatsuya Yamamoto Japan 18 179 0.3× 1.1k 2.5× 377 1.1× 30 0.1× 908 2.9× 100 1.7k
Takashi Hikihara Japan 35 1.2k 2.0× 1.1k 2.5× 110 0.3× 43 0.1× 2.0k 6.5× 284 4.1k
J. Mallinson United States 17 179 0.3× 479 1.1× 70 0.2× 59 0.2× 264 0.8× 57 953

Countries citing papers authored by Y. Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Y. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Nakamura. A scholar is included among the top collaborators of Y. Nakamura 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 Y. Nakamura. Y. Nakamura 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.
Nakamura, Y., et al.. (2025). A study on applying GA for performance improvement of SP decoder in SMR. AIP Advances. 15(3).
2.
Nakamura, Y., et al.. (2024). Improvement of SP Decoding Considering the Influence of Recording Patterns by Neural Network in SMR. IEEE Transactions on Magnetics. 60(9). 1–5.
3.
Nakamura, Y., et al.. (2023). A Study on Accelerating SP decoding by Neural Network in SMR System. j86 c. 1–2.
4.
Nakamura, Y., et al.. (2023). A Study on Accelerating SP Decoding by Neural Network in SMR System. IEEE Transactions on Magnetics. 59(11). 1–5. 1 indexed citations
5.
Nakamura, Y., et al.. (2022). A Study of Three-Dimensional Equalization for Reproducing a Double-Layer Magnetic Recording Medium. IEEE Transactions on Magnetics. 58(8). 1–4. 5 indexed citations
6.
Matsumoto, Kunio, Takahiro Nakayama, & Y. Nakamura. (2022). Construction Report of RC Viaduct in Yokosuka Line Musashi-Kosugi Station Platform Expansion Work. Concrete Journal. 60(8). 676–681.
7.
Nakamura, Y., et al.. (2022). Performance Evaluation of Burst Error Correction by LDPC Coding and Iterative Decoding System in Magnetic Tape Drive. IEEE Transactions on Magnetics. 59(3). 1–5.
8.
Nakamura, Y., et al.. (2021). A Study on Performance Evaluation With Neural Network Detector in SMR System. IEEE Transactions on Magnetics. 58(4). 1–5.
9.
Nakamura, Y., et al.. (2021). A Study of Channel Time-Domain Response on Equalization for Reproducing a Double-Layer Magnetic Recording Medium. IEEE Transactions on Magnetics. 58(4). 1–5. 6 indexed citations
10.
Nakamura, Y., et al.. (2020). A Study on Neural Network Detector in SMR System. IEEE Transactions on Magnetics. 57(3). 1–5. 4 indexed citations
11.
Nakamura, Y., et al.. (2020). Improvement of Iterative Decoding With LLR Modulator by Neural Network Using Magnetic Transition Information in SMR System. IEEE Transactions on Magnetics. 57(2). 1–5. 10 indexed citations
12.
Nakamura, Y., et al.. (2020). A Study on AM–FM Combined Detection for Magnetic Recording Using STO Reading. IEEE Transactions on Magnetics. 57(2). 1–5. 3 indexed citations
13.
Nakamura, Y., et al.. (2020). Performance Improvement of Dual STO Reading With AM–FM Combined Detection for 3-D Magnetic Recording. IEEE Transactions on Magnetics. 57(3). 1–5. 4 indexed citations
14.
Nakamura, Y., et al.. (2019). A Study on Two-Dimensional Signal Processing for Barium Ferrite Magnetic Tape Medium. IEICE Technical Report; IEICE Tech. Rep.. 119(79). 59–64. 1 indexed citations
15.
16.
Okamoto, Yoshihiro, et al.. (2010). Neural Network Equalization for LDPC Coding and Iterative Decoding System. IEICE Technical Report; IEICE Tech. Rep.. 110. 1 indexed citations
17.
Nakamura, Y., et al.. (2007). Performance Evaluation of LDPC Coding and Iterative Decoding System Using Burst Information. 90(5). 437–446. 1 indexed citations
18.
Hagihara, Yoshihisa, et al.. (2004). Timing optimization by replacing flip-flops to latches. Asia and South Pacific Design Automation Conference. 186–191. 8 indexed citations
19.
Abe, Shigeru, et al.. (1987). Symbol recognition of equipment location maps with raster operation.. IEEJ Transactions on Industry Applications. 107(4). 472–478. 4 indexed citations
20.
Nakamura, Y., et al.. (1987). The Reachability of Complementary-Places Petri Nets. Transactions of the Society of Instrument and Control Engineers. 23(1). 72–78. 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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