Takuma Yamaguchi
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Geophysics
- Astronomy and Astrophysics
- Co-authors
- Tsuyoshi IchimuraKohei FujitaMinoru MaruyamaShigeru KatagiriH. WatanabeMuneo HoriKuniko AbeMaddegedara Lalith
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Handwritten Text Recognition Techniques (6 papers)Seismic Imaging and Inversion Techniques (5 papers)
- Journals
- The Astrophysical JournalIEEE Transactions on Signal ProcessingGeophysical Journal International
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Takuma Yamaguchi
33 papers receiving 295 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 87
- Radiology, Nuclear Medicine and Imaging 65
- Artificial Intelligence 58
- Geophysics 37
- Astronomy and Astrophysics 29
Countries citing papers authored by Takuma Yamaguchi
This map shows the geographic impact of Takuma Yamaguchi'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 Takuma Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Yamaguchi more than expected).
Fields of papers citing papers by Takuma Yamaguchi
This network shows the impact of papers produced by Takuma Yamaguchi. 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 Takuma Yamaguchi. The network helps show where Takuma Yamaguchi may publish in the future.
Co-authorship network of co-authors of Takuma Yamaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Yamaguchi. A scholar is included among the top collaborators of Takuma Yamaguchi 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 Takuma Yamaguchi. Takuma Yamaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 25 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | Character Type Classification via Probabilistic Topic Model | 1 |
| 11 | 67 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 21 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 19 | |
| 20 | 25 |
About Takuma Yamaguchi
Takuma Yamaguchi is a scholar working on Numerical Analysis, Computer Vision and Pattern Recognition and Geophysics, having authored 33 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Handwritten Text Recognition Techniques (6 papers) and Seismic Imaging and Inversion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Computational Mathematics (2 citations) and Media Technology (28 citations). Takuma Yamaguchi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Tsuyoshi Ichimura, Kohei Fujita, Minoru Maruyama, Shigeru Katagiri, H. Watanabe, Muneo Hori, Kuniko Abe, Maddegedara Lalith, Hidetoshi Miyao and Sumihisa Honda. Their work appears in journals such as The Astrophysical Journal, IEEE Transactions on Signal Processing and Geophysical Journal International.
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.