Miyuki Uomoto

92 total papers · 669 total citations
49 papers, 495 citations indexed

About

Miyuki Uomoto is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Miyuki Uomoto has authored 49 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 12 papers in Atomic and Molecular Physics, and Optics and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Miyuki Uomoto's work include 3D IC and TSV technologies (39 papers), Electronic Packaging and Soldering Technologies (29 papers) and Copper Interconnects and Reliability (12 papers). Miyuki Uomoto is often cited by papers focused on 3D IC and TSV technologies (39 papers), Electronic Packaging and Soldering Technologies (29 papers) and Copper Interconnects and Reliability (12 papers). Miyuki Uomoto collaborates with scholars based in Japan, United States and Czechia. Miyuki Uomoto's co-authors include T. Shimatsu, Takashi Mukai, M. Ichikawa, Shinya Endo, Akira Fujioka, Takao Kosugi, Shuji Tanaka, Michio Kadota, Yuri Kawasaki and Masahiko Iha and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Applied Surface Science and Japanese Journal of Applied Physics.

In The Last Decade

Miyuki Uomoto

43 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Miyuki Uomoto	358	123	122	107	107	49	495
Riko I Made	394 1.1×	97 0.8×	95 0.8×	73 0.7×	124 1.2×	45	516
Peng Hu	266 0.7×	111 0.9×	129 1.1×	48 0.4×	173 1.6×	46	550
Joerg Pezoldt	322 0.9×	49 0.4×	150 1.2×	75 0.7×	78 0.7×	80	443
Alexey Vert	319 0.9×	75 0.6×	140 1.1×	194 1.8×	85 0.8×	40	505
J. Dechamp	373 1.0×	39 0.3×	155 1.3×	81 0.8×	119 1.1×	35	444
M. Rivoire	396 1.1×	184 1.5×	96 0.8×	161 1.5×	73 0.7×	47	550
Toshikazu Suda	267 0.7×	58 0.5×	89 0.7×	154 1.4×	307 2.9×	38	430
Leonie Hold	348 1.0×	69 0.6×	154 1.3×	76 0.7×	132 1.2×	28	473
Hongwei Chen	351 1.0×	61 0.5×	70 0.6×	62 0.6×	208 1.9×	66	470
Ken Sato	278 0.8×	93 0.8×	77 0.6×	58 0.5×	324 3.0×	34	501

Countries citing papers authored by Miyuki Uomoto

Since Specialization

Citations

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

Fields of papers citing papers by Miyuki Uomoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Uomoto

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