Daisuke Wakuda

14 total papers · 709 total citations
13 papers, 554 citations indexed

About

Daisuke Wakuda is a scholar working on Electrical and Electronic Engineering, Atmospheric Science and Polymers and Plastics. According to data from OpenAlex, Daisuke Wakuda has authored 13 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Atmospheric Science and 1 paper in Polymers and Plastics. Recurrent topics in Daisuke Wakuda's work include Nanomaterials and Printing Technologies (11 papers), nanoparticles nucleation surface interactions (10 papers) and Electronic Packaging and Soldering Technologies (10 papers). Daisuke Wakuda is often cited by papers focused on Nanomaterials and Printing Technologies (11 papers), nanoparticles nucleation surface interactions (10 papers) and Electronic Packaging and Soldering Technologies (10 papers). Daisuke Wakuda collaborates with scholars based in Japan. Daisuke Wakuda's co-authors include Katsuaki Suganuma, Masaya Nogi, Noriko Kagami, S. Sakamoto, Keun‐Soo Kim, Ki‐Hyun Kim and Changjae Kim and has published in prestigious journals such as Applied Physics Letters, Chemical Physics Letters and Scripta Materialia.

In The Last Decade

Daisuke Wakuda

13 papers receiving 538 citations

Author Peers

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

Author						Papers	Cites
Daisuke Wakuda	470	186	147	94	72	13	554
Hani Alarifi	360 0.8×	151 0.8×	187 1.3×	131 1.4×	175 2.4×	7	609
Shufang Luo	451 1.0×	183 1.0×	92 0.6×	59 0.6×	58 0.8×	13	534
Guangyin Lei	419 0.9×	191 1.0×	40 0.3×	117 1.2×	155 2.2×	24	558
S. M. Arnold	436 0.9×	129 0.7×	183 1.2×	109 1.2×	221 3.1×	11	634
Dong-Hee Yeon	364 0.8×	136 0.7×	87 0.6×	159 1.7×	288 4.0×	22	608
Luis Ortiz	420 0.9×	130 0.7×	105 0.7×	76 0.8×	287 4.0×	11	689
Feng‐Chun Hsia	272 0.6×	95 0.5×	76 0.5×	146 1.6×	162 2.3×	16	530
Ko Hermans	333 0.7×	56 0.3×	175 1.2×	73 0.8×	129 1.8×	15	587
Hui-Chia Yu	249 0.5×	159 0.9×	34 0.2×	44 0.5×	306 4.3×	13	570
Vemal Raja Manikam	429 0.9×	224 1.2×	41 0.3×	53 0.6×	82 1.1×	12	504

Countries citing papers authored by Daisuke Wakuda

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Wakuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Wakuda

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