Ryuichi Nishiyama

749 total citations
29 papers, 342 citations indexed

About

Ryuichi Nishiyama is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Radiation. According to data from OpenAlex, Ryuichi Nishiyama has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 6 papers in Electrical and Electronic Engineering and 5 papers in Radiation. Recurrent topics in Ryuichi Nishiyama's work include Particle Detector Development and Performance (17 papers), Particle physics theoretical and experimental studies (14 papers) and Astrophysics and Cosmic Phenomena (11 papers). Ryuichi Nishiyama is often cited by papers focused on Particle Detector Development and Performance (17 papers), Particle physics theoretical and experimental studies (14 papers) and Astrophysics and Cosmic Phenomena (11 papers). Ryuichi Nishiyama collaborates with scholars based in Japan, Italy and Switzerland. Ryuichi Nishiyama's co-authors include Seigo Miyamoto, Shuhei Okubo, A. Ariga, David Mair, A. Ereditato, Fritz Schlunegger, A. Taketa, P. Scampoli, T. Ariga and Mykhailo Vladymyrov and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Earth-Science Reviews.

In The Last Decade

Ryuichi Nishiyama

28 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuichi Nishiyama Japan 11 228 109 76 39 28 29 342
L. Oláh Hungary 11 275 1.2× 151 1.4× 50 0.7× 34 0.9× 46 1.6× 32 361
L. Bonechi Italy 14 369 1.6× 153 1.4× 53 0.7× 34 0.9× 35 1.3× 53 480
G. Saracino Italy 11 218 1.0× 132 1.2× 40 0.5× 19 0.5× 28 1.0× 27 278
P. Noli Italy 8 212 0.9× 113 1.0× 42 0.6× 15 0.4× 30 1.1× 14 257
Seigo Miyamoto Japan 7 144 0.6× 68 0.6× 45 0.6× 7 0.2× 12 0.4× 18 198
Etsuro Koyama Japan 5 170 0.7× 64 0.6× 141 1.9× 7 0.2× 20 0.7× 11 315
G. Hamar Hungary 11 287 1.3× 155 1.4× 35 0.5× 42 1.1× 42 1.5× 42 373
L. Consiglio Italy 8 176 0.8× 88 0.8× 26 0.3× 30 0.8× 16 0.6× 19 251
M. Bongi Italy 10 232 1.0× 59 0.5× 24 0.3× 23 0.6× 16 0.6× 38 305
C. Cârloganu France 8 181 0.8× 63 0.6× 58 0.8× 9 0.2× 14 0.5× 20 226

Countries citing papers authored by Ryuichi Nishiyama

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichi Nishiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuichi Nishiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Nishiyama. A scholar is included among the top collaborators of Ryuichi Nishiyama 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 Ryuichi Nishiyama. Ryuichi Nishiyama 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.
Tanaka, Yoshiyuki, Ryuichi Nishiyama, A. Araya, et al.. (2025). A possibility of fluid migration due to the 2023 M6.5 Noto Peninsula earthquake suggested from precise gravity measurements. Earth Planets and Space. 77(1). 3 indexed citations
2.
Tamura, Yoshiaki, et al.. (2023). Postseismic gravity changes after the 2011 Tohoku earthquake observed by superconducting gravimeters at Mizusawa, Japan. Earth Planets and Space. 75(1). 1 indexed citations
3.
Mair, David, A. Ariga, T. Ariga, et al.. (2022). SMAUG v1.0 – a user-friendly muon simulator for the imaging of geological objects in 3-D. Geoscientific model development. 15(6). 2441–2473. 1 indexed citations
4.
Cosburn, Katherine, Mousumi Roy, & Ryuichi Nishiyama. (2022). A machine learning approach to joint gravity and cosmic-ray muon inversion at Mt Usu, Japan. Geophysical Journal International. 233(2). 1081–1096. 3 indexed citations
5.
Nishiyama, Ryuichi. (2022). Deformation of an infinite elastic cone due to a point pressure source buried on the axis: implications to volcanic deformation. Geophysical Journal International. 232(2). 1129–1139.
6.
Taketa, A., et al.. (2022). Radiography using cosmic-ray electromagnetic showers and its application in hydrology. Scientific Reports. 12(1). 20395–20395. 2 indexed citations
7.
Mair, David, A. Ariga, T. Ariga, et al.. (2021). SMAUG v1.0 – a user-friendly muon simulator for transmission tomography of geological objects in 3D. 1 indexed citations
8.
Tioukov, V., A. Alexandrov, C. Bozza, et al.. (2019). First muography of Stromboli volcano. Scientific Reports. 9(1). 6695–6695. 55 indexed citations
9.
Nishiyama, Ryuichi, A. Ariga, T. Ariga, et al.. (2019). Bedrock sculpting under an active alpine glacier revealed from cosmic-ray muon radiography. Scientific Reports. 9(1). 6970–6970. 20 indexed citations
10.
Mair, David, A. Ariga, T. Ariga, et al.. (2018). The effect of rock composition on muon tomography measurements. Biogeosciences (European Geosciences Union). 1 indexed citations
11.
Mair, David, A. Ariga, T. Ariga, et al.. (2018). The effect of rock composition on muon tomography measurements. Solid Earth. 9(6). 1517–1533. 14 indexed citations
12.
Ariga, A., T. Ariga, A. Ereditato, et al.. (2018). A Nuclear Emulsion Detector for the Muon Radiography of a Glacier Structure. Instruments. 2(2). 7–7. 9 indexed citations
13.
Hashimoto, T., et al.. (2017). An Adaptive-Clocking-Control Circuit With 7.5% Frequency Gain for SPARC Processors. IEEE Journal of Solid-State Circuits. 53(4). 1028–1037. 7 indexed citations
14.
Bozza, C., L. Consiglio, N. D’Ambrosio, et al.. (2017). Nuclear emulsion techniques for muography. Annals of Geophysics. 60(1). S0109–S0109. 4 indexed citations
15.
Nishiyama, Ryuichi, A. Ariga, T. Ariga, et al.. (2017). First measurement of ice‐bedrock interface of alpine glaciers by cosmic muon radiography. Geophysical Research Letters. 44(12). 6244–6251. 34 indexed citations
16.
Hashimoto, T., et al.. (2017). An adaptive clocking control circuit with 7.5% frequency gain for SPARC processors. C112–C113. 1 indexed citations
17.
Miyamoto, Seigo, José Barrancos, C. Bozza, et al.. (2017). Muography of 1949 fault in La Palma, Canary Islands, Spain. Annals of Geophysics. 60(1). S0110–S0110. 6 indexed citations
18.
Nishiyama, Ryuichi, et al.. (2016). 3D Density Modeling with Gravity and Muon-Radiographic Observations in Showa-Shinzan Lava Dome, Usu, Japan. Pure and Applied Geophysics. 174(3). 1061–1070. 23 indexed citations
19.
Nishiyama, Ryuichi, A. Taketa, Seigo Miyamoto, & K. Kasahara. (2016). Monte Carlo simulation for background study of geophysical inspection with cosmic-ray muons. Geophysical Journal International. 206(2). 1039–1050. 37 indexed citations
20.
Nishiyama, Ryuichi, Seigo Miyamoto, & N. Naganawa. (2014). Experimental study of source of background noise in muon radiography using emulsion film detectors. Geoscientific instrumentation, methods and data systems. 3(1). 29–39. 17 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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