Itsuki Miyazato

925 citations
27 papers · 744 indexed · h-index 15
Topics
Machine Learning in Materials Science (19 papers)Catalysis and Oxidation Reactions (15 papers)Catalytic Processes in Materials Science (12 papers)

In The Last Decade

Itsuki Miyazato

27 papers receiving 728 citations

Peers

Itsuki Miyazato
Comparison fields: 5 of 57
  • Materials Chemistry 639
  • Catalysis 342
  • Renewable Energy, Sustainability and the Environment 125
  • Electrical and Electronic Engineering 117
  • Computational Theory and Mathematics 61
Replace Lauren Takahashi with:
Lauren Takahashi Japan
Aini Palizhati United States
Muhammed Shuaibi United States
Junwoong Yoon United States
Jan Kaczmarczyk Poland
Casper Welzel Andersen Denmark
Thanh Nhat Nguyen Japan
Osman Mamun United States
Terry Z. H. Gani United States
Max J. Hoffmann United States
Itsuki Miyazato relative to Lauren Takahashi Japan Lauren Takahashi's profile →
Citations per field
00.5×1.5×
Lauren Takahashi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 6
2 2
3 13
4 10
5 11
6 7
7 23
8 16
9 24
10 3
11 21
12 143
13 14
14 89
15 2
16 87
17 20
18 70
19 30
20 2

About Itsuki Miyazato

Itsuki Miyazato is a scholar working on Catalysis, Materials Chemistry and Metals and Alloys, having authored 27 papers that have together received 744 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (19 papers), Catalysis and Oxidation Reactions (15 papers) and Catalytic Processes in Materials Science (12 papers). The work is most often cited by research in Catalysis (342 citations), Materials Chemistry (639 citations) and Renewable Energy, Sustainability and the Environment (125 citations). Itsuki Miyazato has collaborated with scholars based in Japan, United States and Australia. Frequent 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. Their work appears in journals such as PLoS ONE, Journal of Applied Physics and Scientific Reports.

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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