Masahide Goto

625 total citations
65 papers, 436 citations indexed

About

Masahide Goto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Masahide Goto has authored 65 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Masahide Goto's work include CCD and CMOS Imaging Sensors (30 papers), Thin-Film Transistor Technologies (17 papers) and Advanced Memory and Neural Computing (11 papers). Masahide Goto is often cited by papers focused on CCD and CMOS Imaging Sensors (30 papers), Thin-Film Transistor Technologies (17 papers) and Advanced Memory and Neural Computing (11 papers). Masahide Goto collaborates with scholars based in Japan, United States and Switzerland. Masahide Goto's co-authors include Yoshinori Iguchi, Kei Hagiwara, Hiroshi Toshiyoshi, Toshiro Hiramoto, Takuya Saraya, Hirotaka Kuwata, Eiji Higurashi, Hiroshi Ohtake, Hidekazu Kodama and Susumu Okazaki and has published in prestigious journals such as Scientific Reports, Optics Letters and Optics Express.

In The Last Decade

Masahide Goto

54 papers receiving 415 citations

Peers

Masahide Goto
Comparison fields: 5 of 66
  • Electrical and Electronic Engineering 287
  • Biomedical Engineering 129
  • Mechanical Engineering 92
  • Atomic and Molecular Physics, and Optics 75
  • Molecular Biology 54
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Feifan Xu China
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Yun‐Seok Choi South Korea View profile →
Citations per field, relative to Masahide Goto
Masahide Goto · 1×
Citations per year, relative to Masahide Goto
Masahide Goto · 1×

Countries citing papers authored by Masahide Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masahide Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahide Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Masahide Goto. A scholar is included among the top collaborators of Masahide Goto 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 Masahide Goto. Masahide Goto 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
# Work Indexed citations
1 1
2 2
3 0
4 1
5 1
6 4
7 13
8 3
9 2
10 7
11 6
12 0
13 0
14 15
15 3
16 7
17
Charge storage technique using soft X-rays for silicon microphone
1
18 0
19 31
20
CMOS Programmable Delay Vernier.
2

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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