Tomoyuki Hakoyama
- Mechanical Engineering top 10%
- Mechanics of Materials top 5%
- Materials Chemistry
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Toshihiko KuwabaraF. BarlatTakahiro MORIMineo AsanoSam CoppietersMasato TakamuraDimitri DebruyneRyoichi Chiba
- Topics
- Metal Forming Simulation Techniques (31 papers)Metallurgy and Material Forming (30 papers)Microstructure and Mechanical Properties of Steels (10 papers)
- Journals
- Materials Science and Engineering AJournal of Applied CrystallographyJournal of Materials Processing Technology
- Partner nations
- JapanBelgiumSouth Korea
In The Last Decade
Tomoyuki Hakoyama
34 papers receiving 319 citations
Peers
Comparison fields: 5 of 33
- Mechanical Engineering 295
- Mechanics of Materials 244
- Materials Chemistry 153
- Biomedical Engineering 28
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Tomoyuki Hakoyama
This map shows the geographic impact of Tomoyuki Hakoyama'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 Tomoyuki Hakoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Hakoyama more than expected).
Fields of papers citing papers by Tomoyuki Hakoyama
This network shows the impact of papers produced by Tomoyuki Hakoyama. 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 Tomoyuki Hakoyama. The network helps show where Tomoyuki Hakoyama may publish in the future.
Co-authorship network of co-authors of Tomoyuki Hakoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Hakoyama. A scholar is included among the top collaborators of Tomoyuki Hakoyama 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 Tomoyuki Hakoyama. Tomoyuki Hakoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 146 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 11 |
About Tomoyuki Hakoyama
Tomoyuki Hakoyama is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry, having authored 36 papers that have together received 330 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (31 papers), Metallurgy and Material Forming (30 papers) and Microstructure and Mechanical Properties of Steels (10 papers). The work is most often cited by research in Mechanics of Materials (244 citations), Mechanical Engineering (295 citations) and Materials Chemistry (153 citations). Tomoyuki Hakoyama has collaborated with scholars based in Japan, Belgium and South Korea. Frequent co-authors include Toshihiko Kuwabara, F. Barlat, Takahiro MORI, Mineo Asano, Sam Coppieters, Masato Takamura, Dimitri Debruyne, Ryoichi Chiba, Mitsutoshi Kuroda and Y. Ikeda. Their work appears in journals such as Materials Science and Engineering A, Journal of Applied Crystallography and Journal of Materials Processing Technology.
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.