Akihiro Goto

2.3k citations
91 papers · 1.8k indexed · h-index 20
Topics
Advanced Machining and Optimization Techniques (31 papers)Advanced Surface Polishing Techniques (18 papers)Advanced machining processes and optimization (18 papers)

In The Last Decade

Akihiro Goto

81 papers receiving 1.7k citations

Peers

Akihiro Goto
Comparison fields: 5 of 117
  • Organic Chemistry 993
  • Molecular Biology 384
  • Inorganic Chemistry 292
  • Electrical and Electronic Engineering 214
  • Biomedical Engineering 176
Replace Masako Terada with:
Masako Terada United States
J. Takács Hungary
Imre Kovács Hungary
Takeshi Uemura Japan
François Lambert France
Simone Tomasi United Kingdom
Yuka Nakamura Japan
Thomas Kress United States
Takehiko Ito Japan
George Papageorgiou United Kingdom
Akihiro Goto relative to Masako Terada United States Masako Terada's profile →
Citations per field
00.5×1.5×2.2×
Masako Terada · 1×
Citations per year

Countries citing papers authored by Akihiro Goto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Goto. A scholar is included among the top collaborators of Akihiro 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 Akihiro Goto. Akihiro 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
#WorkIndexed citations
1 2
2 1
3 93
4 3
5 15
6 0
7 37
8 3
9 1
10 11
11 28
12
Innovative coating technology using electrical discharge
2
13 5
14 2
15 4
16 2
17 15
18 5
19 2
20
2

About Akihiro Goto

Akihiro Goto is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Organic Chemistry, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (31 papers), Advanced Surface Polishing Techniques (18 papers) and Advanced machining processes and optimization (18 papers). The work is most often cited by research in Organic Chemistry (993 citations), Inorganic Chemistry (292 citations) and Cellular and Molecular Neuroscience (172 citations). Akihiro Goto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yasuyuki Kita, Toshifumi Dohi, Susumu Saito, Kohei Endo, Naoko Takenaga, Koji Morimoto, Motoki Ito, Akinobu Maruyama, Hiromichi Fujioka and Michiyuki Matsuda. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026