Itsuki Miyazato

925 total citations
27 papers, 744 citations indexed

About

Itsuki Miyazato is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Itsuki Miyazato has authored 27 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 15 papers in Catalysis and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Itsuki Miyazato's work include Machine Learning in Materials Science (19 papers), Catalysis and Oxidation Reactions (15 papers) and Catalytic Processes in Materials Science (12 papers). Itsuki Miyazato is often cited by papers focused on Machine Learning in Materials Science (19 papers), Catalysis and Oxidation Reactions (15 papers) and Catalytic Processes in Materials Science (12 papers). Itsuki Miyazato collaborates with scholars based in Japan, United States and Australia. Itsuki Miyazato's co-authors include Keisuke Takahashi, Lauren Takahashi, Shun Nishimura, Junya Ohyama, Yuzuru Tanaka, Jun Fujima, Toshiaki Taniike, Thanh Nhat Nguyen, Ashutosh Thakur and Kenji Hirai and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Itsuki Miyazato

27 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Itsuki Miyazato Japan	15	639	342	125	117	61	27	744
Lauren Takahashi Japan	19	743 1.2×	351 1.0×	129 1.0×	129 1.1×	85 1.4×	44	873
Pei‐Lin Kang China	13	601 0.9×	216 0.6×	163 1.3×	87 0.7×	121 2.0×	16	790
Jan Kaczmarczyk Poland	16	440 0.7×	145 0.4×	98 0.8×	114 1.0×	124 2.0×	35	966
Sergio Pablo‐García Canada	11	318 0.5×	163 0.5×	220 1.8×	90 0.8×	77 1.3×	23	634
Casper Welzel Andersen Denmark	7	488 0.8×	161 0.5×	54 0.4×	124 1.1×	32 0.5×	11	623
Max J. Hoffmann United States	13	826 1.3×	514 1.5×	366 2.9×	148 1.3×	25 0.4×	15	1.1k
Steen Lysgaard Denmark	12	317 0.5×	96 0.3×	135 1.1×	112 1.0×	56 0.9×	17	492
Junwoong Yoon United States	6	610 1.0×	142 0.4×	240 1.9×	107 0.9×	136 2.2×	7	694
Jonathan E. Sutton United States	16	687 1.1×	434 1.3×	295 2.4×	78 0.7×	40 0.7×	21	926
Javier Heras‐Domingo Spain	12	698 1.1×	137 0.4×	375 3.0×	205 1.8×	142 2.3×	17	900

Countries citing papers authored by Itsuki Miyazato

Since Specialization

Citations

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

Fields of papers citing papers by Itsuki Miyazato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itsuki Miyazato

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

All Works

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20 of 20 papers shown

Nishimura, Shun, Junya Ohyama, Xinyue Li, et al.. (2022). Machine Learning-Aided Catalyst Modification in Oxidative Coupling of Methane via Manganese Promoter. Industrial & Engineering Chemistry Research. 61(24). 8462–8469. 6 indexed citations

Takahashi, Keisuke, Itsuki Miyazato, Satoshi Maeda, & Lauren Takahashi. (2022). Designing transformer oil immersion cooling servers for machine learning and first principle calculations. PLoS ONE. 17(5). e0266880–e0266880. 2 indexed citations

Nishimura, Shun, Itsuki Miyazato, Jun Fujima, et al.. (2022). High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La₂O₃-based catalysts for the oxidative coupling of methane. Catalysis Science & Technology. 12(9). 2766–2774. 13 indexed citations

Takahashi, Keisuke, Jun Fujima, Itsuki Miyazato, et al.. (2021). Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts. The Journal of Physical Chemistry Letters. 12(30). 7335–7341. 7 indexed citations

Ohyama, Junya, Hiroshi Yoshida, Masato Machida, et al.. (2021). Catalytic direct oxidation of methane to methanol by redox of copper mordenite. Catalysis Science & Technology. 11(10). 3437–3446. 23 indexed citations

Suzuki, Hajime, Itsuki Miyazato, Tanveer Hussain, et al.. (2021). Designing two-dimensional dodecagonal boron nitride. CrystEngComm. 24(3). 471–474. 10 indexed citations

Miyazato, Itsuki, Thanh Nhat Nguyen, Lauren Takahashi, Toshiaki Taniike, & Keisuke Takahashi. (2021). Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine Learning. The Journal of Physical Chemistry Letters. 12(2). 808–814. 11 indexed citations

Ohyama, Junya, Hiroshi Yoshida, Masato Machida, et al.. (2021). Data science assisted investigation of catalytically active copper hydrate in zeolites for direct oxidation of methane to methanol using H2O2. Scientific Reports. 11(1). 2067–2067. 16 indexed citations

Ohyama, Junya, Hiroshi Yoshida, Masato Machida, et al.. (2020). Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining. Catalysis Science & Technology. 11(2). 524–530. 24 indexed citations

10.

Miyazato, Itsuki, et al.. (2020). Rising Sun Envelope Method: An Automatic and Accurate Peak Location Technique for XANES Measurements. The Journal of Physical Chemistry A. 124(9). 1754–1762. 3 indexed citations

11.

Fujima, Jun, Yuzuru Tanaka, Itsuki Miyazato, Lauren Takahashi, & Keisuke Takahashi. (2020). Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts. Reaction Chemistry & Engineering. 5(5). 903–911. 35 indexed citations

12.

Nguyen, Thanh Nhat, Ashutosh Thakur, Shun Nishimura, et al.. (2019). High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane. ACS Catalysis. 10(2). 921–932. 143 indexed citations

13.

Miyazato, Itsuki, Sevil Sarikurt, Keisuke Takahashi, & Fatih Ersan. (2019). Controlling electronic structure of single-layered $${\hbox {HfX}}_{3}$$ ($$\hbox {X=S}$$, Se) trichalcogenides through systematic Zr doping. Journal of Materials Science. 55(2). 660–669. 14 indexed citations

14.

Miyazato, Itsuki, Lauren Takahashi, & Keisuke Takahashi. (2019). Automatic oxidation threshold recognition of XAFS data using supervised machine learning. Molecular Systems Design & Engineering. 4(5). 1014–1018. 27 indexed citations

15.

Takahashi, Keisuke, Lauren Takahashi, Itsuki Miyazato, & Yuzuru Tanaka. (2018). Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations. ACS Photonics. 5(3). 771–775. 89 indexed citations

16.

Takahashi, Keisuke, et al.. (2018). Unveiling Hidden Catalysts for the Oxidative Coupling of Methane based on Combining Machine Learning with Literature Data. ChemCatChem. 10(15). 3135–3135. 2 indexed citations

17.

Takahashi, Keisuke, Lauren Takahashi, Itsuki Miyazato, et al.. (2018). The Rise of Catalyst Informatics: Towards Catalyst Genomics. ChemCatChem. 11(4). 1146–1152. 87 indexed citations

18.

Takahashi, Lauren, Itsuki Miyazato, & Keisuke Takahashi. (2018). Redesigning the Materials and Catalysts Database Construction Process Using Ontologies. Journal of Chemical Information and Modeling. 58(9). 1742–1754. 20 indexed citations

19.

Miyazato, Itsuki, Yuzuru Tanaka, & Keisuke Takahashi. (2017). Accelerating the discovery of hidden two-dimensional magnets using machine learning and first principle calculations. Journal of Physics Condensed Matter. 30(6). 06LT01–06LT01. 30 indexed citations

20.

Miyazato, Itsuki & Keisuke Takahashi. (2017). Electronic structure of boron based single and multi-layer two dimensional materials. Journal of Applied Physics. 122(10). 2 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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