Shinya Mizokami

440 total citations
41 papers, 251 citations indexed

About

Shinya Mizokami is a scholar working on Materials Chemistry, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shinya Mizokami has authored 41 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 21 papers in Aerospace Engineering and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shinya Mizokami's work include Nuclear Materials and Properties (27 papers), Nuclear reactor physics and engineering (18 papers) and Nuclear and radioactivity studies (16 papers). Shinya Mizokami is often cited by papers focused on Nuclear Materials and Properties (27 papers), Nuclear reactor physics and engineering (18 papers) and Nuclear and radioactivity studies (16 papers). Shinya Mizokami collaborates with scholars based in Japan, United States and South Korea. Shinya Mizokami's co-authors include Takeshi Honda, Marco Pellegrini, Koji Okamoto, Takuya Yamashita, Randall O. Gauntt, Ikken Sato, Didier Jacquemain, Jin Ho Song, Daisuke Yamauchi and Christophe Journeau and has published in prestigious journals such as Applied Physics Letters, International Journal of Heat and Mass Transfer and Energy.

In The Last Decade

Shinya Mizokami

31 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Mizokami Japan 11 153 126 72 52 30 41 251
William Charlton United States 10 133 0.9× 201 1.6× 50 0.7× 28 0.5× 36 1.2× 62 317
O.K. Kveton Canada 12 266 1.7× 130 1.0× 22 0.3× 25 0.5× 65 2.2× 26 321
F. Gabrielli Germany 11 217 1.4× 259 2.1× 32 0.4× 8 0.2× 12 0.4× 66 292
L. Carénini France 9 321 2.1× 273 2.2× 61 0.8× 21 0.4× 4 0.1× 26 415
P. Chatelard France 9 306 2.0× 332 2.6× 82 1.1× 31 0.6× 3 0.1× 15 410
Ian C Gauld United States 11 387 2.5× 411 3.3× 161 2.2× 35 0.7× 21 0.7× 56 479
J. P. Van Dorsselaere France 9 240 1.6× 247 2.0× 57 0.8× 18 0.3× 2 0.1× 27 309
R. Moormann Germany 13 388 2.5× 156 1.2× 157 2.2× 5 0.1× 35 1.2× 34 472
C.M. Allison India 11 266 1.7× 331 2.6× 37 0.5× 13 0.3× 5 0.2× 59 405
Neill Taylor France 11 248 1.6× 146 1.2× 73 1.0× 35 0.7× 64 2.1× 22 318

Countries citing papers authored by Shinya Mizokami

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Mizokami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Mizokami

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Mizokami. A scholar is included among the top collaborators of Shinya Mizokami 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 Shinya Mizokami. Shinya Mizokami 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.
Pellegrini, Marco, et al.. (2024). Evaluation of Fukushima Daiichi Unit 1 Ex-Vessel Phenomenon Leveraging on Primary Containment Vessel Robotic Inspections. Nuclear Technology. 211(3). 513–530. 1 indexed citations
2.
Sato, Ikken, et al.. (2023). MAAP code analysis focusing on the fuel debris conditions in the lower head of the pressure vessel in Fukushima-Daiichi Nuclear Power Station Unit 3. Nuclear Engineering and Design. 414. 112574–112574. 1 indexed citations
3.
Pellegrini, Marco, et al.. (2022). RECENT FINDINGS FROM FUKUSHIMA DAIICHI UNIT 1 PRIMARY CONTAINMENT VESSEL INVESTIGATIONS. 2022(0). 1060–1060.
4.
Pellegrini, Marco, et al.. (2022). Validation and application of numerical modeling for in-vessel melt retention in corium pools. International Journal of Heat and Mass Transfer. 196. 123313–123313. 4 indexed citations
5.
6.
Pellegrini, Marco, L.E. Herranz, M. Sonnenkalb, et al.. (2020). Main Findings, Remaining Uncertainties and Lessons Learned from the OECD/NEA BSAF Project. Nuclear Technology. 206(9). 1449–1463. 43 indexed citations
7.
Mizokami, Shinya. (2020). Current Understanding of Fukushima Daiichi Accident and Fuel Debris Information Obtained from Decommissioning Activities. 1 indexed citations
8.
Onishi, Takashi, et al.. (2019). Investigation of in-reactor cesium chemical behavior in TEPCO's Fukushima Daiichi Nuclear Power Station accident 12 - Analysis of nuclides in samples collected from primary containment vessel of Unit 1. 2 indexed citations
9.
Pellegrini, Marco, et al.. (2019). Confirmation of severe accident code modeling in light of the findings at Fukushima Daiichi NPPs. Nuclear Engineering and Design. 354. 110217–110217. 11 indexed citations
10.
Yamauchi, Daisuke, et al.. (2017). Additional examination on station blackout caused by Tsunami in Fukushima Daiichi NPS. Journal of the Atomic Energy Society of Japan. 59(11). 626–632.
11.
Rempe, J. L., Michael L. Corradini, M. T. Farmer, et al.. (2016). Safety insights from forensics evaluations at Daiichi. Nuclear Materials and Energy. 10. 18–34. 8 indexed citations
12.
Mizokami, Shinya, et al.. (2014). Update of the First TEPCO MAAP Accident Analysis of Units 1, 2, and 3 at Fukushima Daiichi Nuclear Power Station. Nuclear Technology. 186(2). 263–279. 16 indexed citations
13.
Sakai, Norio, et al.. (2014). Validation of MAAP model enhancement for Fukushima Dai-ichi accident analysis with Phenomena Identification and Ranking Table (PIRT). Journal of Nuclear Science and Technology. 51(7-8). 951–963. 12 indexed citations
14.
Borozdin, K., Yoshiji Karino, Haruo Miyadera, et al.. (2014). Cosmic-ray muon radiography of UO2fuel assembly. Journal of Nuclear Science and Technology. 51(7-8). 1024–1031. 15 indexed citations
15.
Miyadera, Haruo, K. Fujita, Yoshiji Karino, et al.. (2014). Noninvasive Reactor Imaging Using Cosmic-Ray Muons. 177–186. 1 indexed citations
16.
Miyadera, Haruo, C. L. Morris, K. Borozdin, et al.. (2013). Imaging of a reactor with muons. 183. 1–5. 1 indexed citations
17.
Furuya, Masahiro, et al.. (2005). Development of BWR Regional Stability Experimental Facility SIRIUS-F, which Simulates. Transactions of the Atomic Energy Society of Japan. 4(2). 93–105.
18.
Mizokami, Shinya, et al.. (2004). Evaluation of Stability and Transient Characteristics of ABWR-II Large Bundle Core and SSR Influence for Transient phenomena by TRACG Code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
19.
Hara, Takashi, et al.. (2003). Current Status of the Post Boiling Transition Research in Japan. Journal of Nuclear Science and Technology. 40(10). 852–861. 3 indexed citations
20.
Hara, Takashi, et al.. (2003). Current Status of the Post Boiling Transition Research in Japan. Journal of Nuclear Science and Technology. 40(10). 852–861. 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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