Takeshi Daio

16 total papers · 405 total citations
14 papers, 355 citations indexed

About

Takeshi Daio is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Takeshi Daio has authored 14 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Materials Chemistry and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Takeshi Daio's work include Advanced Photocatalysis Techniques (5 papers), Fuel Cells and Related Materials (4 papers) and Electrocatalysts for Energy Conversion (4 papers). Takeshi Daio is often cited by papers focused on Advanced Photocatalysis Techniques (5 papers), Fuel Cells and Related Materials (4 papers) and Electrocatalysts for Energy Conversion (4 papers). Takeshi Daio collaborates with scholars based in Japan, United States and Italy. Takeshi Daio's co-authors include Hisahiro Einaga, Masaharu Tsuji, Masashi Hattori, Kazunari Sasaki, Stephen Matthew Lyth, Jianfeng Liu, Kaveh Edalati, Junko Matsuda, Makoto Arita and Etsuo Akiba and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and Journal of The Electrochemical Society.

In The Last Decade

Takeshi Daio

14 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Takeshi Daio 243 156 105 68 62 14 355
James R. Morse 233 1.0× 78 0.5× 40 0.4× 70 1.0× 47 0.8× 12 353
Shuyong Zhang 210 0.9× 73 0.5× 79 0.8× 68 1.0× 23 0.4× 20 369
Pairuzha Xiaokaiti 141 0.6× 119 0.8× 215 2.0× 35 0.5× 25 0.4× 12 347
Min Zhu 205 0.8× 175 1.1× 88 0.8× 44 0.6× 37 0.6× 15 373
Dalin Sun 222 0.9× 43 0.3× 90 0.9× 38 0.6× 25 0.4× 9 354
Ulrich Legrand 87 0.4× 219 1.4× 65 0.6× 46 0.7× 55 0.9× 17 293
Seokhyun Choung 152 0.6× 183 1.2× 95 0.9× 25 0.4× 37 0.6× 19 298
Tiago Lagarteira 153 0.6× 179 1.1× 170 1.6× 49 0.7× 14 0.2× 16 357
H.‐M. Kühne 168 0.7× 179 1.1× 230 2.2× 21 0.3× 13 0.2× 16 401
Houyong Yang 256 1.1× 141 0.9× 106 1.0× 44 0.6× 12 0.2× 12 385

Countries citing papers authored by Takeshi Daio

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Daio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Daio

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Daio. A scholar is included among the top collaborators of Takeshi Daio 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 Takeshi Daio. Takeshi Daio 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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