Daiki Wakimoto

21 total papers · 739 total citations
12 papers, 625 citations indexed

About

Daiki Wakimoto is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Daiki Wakimoto has authored 12 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electronic, Optical and Magnetic Materials, 12 papers in Materials Chemistry and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Daiki Wakimoto's work include Ga2O3 and related materials (12 papers), ZnO doping and properties (11 papers) and Advanced Photocatalysis Techniques (6 papers). Daiki Wakimoto is often cited by papers focused on Ga2O3 and related materials (12 papers), ZnO doping and properties (11 papers) and Advanced Photocatalysis Techniques (6 papers). Daiki Wakimoto collaborates with scholars based in Japan and United States. Daiki Wakimoto's co-authors include Akito Kuramata, Kohei Sasaki, Quang Tu Thieu, Shigenobu Yamakoshi, Masataka Higashiwaki, Andrew J. Green, Brandon M. Howe, Stephen E. Tetlak, Robert Fitch and Kevin Leedy and has published in prestigious journals such as Applied Physics Letters, Scripta Materialia and Japanese Journal of Applied Physics.

In The Last Decade

Daiki Wakimoto

12 papers receiving 597 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daiki Wakimoto 604 576 274 104 75 12 625
Takeki Itoh 572 0.9× 550 1.0× 332 1.2× 123 1.2× 95 1.3× 24 620
Chia-Hung Lin 575 1.0× 549 1.0× 321 1.2× 111 1.1× 59 0.8× 14 611
Nicholas Tanen 525 0.9× 523 0.9× 248 0.9× 119 1.1× 76 1.0× 12 571
Etsuko Ohba 548 0.9× 545 0.9× 336 1.2× 85 0.8× 28 0.4× 10 587
Joe F. McGlone 765 1.3× 719 1.2× 415 1.5× 139 1.3× 79 1.1× 23 784
Nidhin Kurian Kalarickal 608 1.0× 562 1.0× 291 1.1× 185 1.8× 114 1.5× 27 667
Toshimi Hitora 560 0.9× 558 1.0× 360 1.3× 103 1.0× 52 0.7× 18 595
Riena Jinno 692 1.1× 681 1.2× 358 1.3× 168 1.6× 82 1.1× 22 733
Hongyu Liu 563 0.9× 538 0.9× 290 1.1× 147 1.4× 58 0.8× 17 619
Yuncong Cai 627 1.0× 581 1.0× 276 1.0× 152 1.5× 77 1.0× 17 663

Countries citing papers authored by Daiki Wakimoto

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Wakimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Wakimoto

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

All Works

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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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