Yuma Koizumi
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Noboru HaradaKohei YatabeShoichiro SaitoHisashi UematsuYoshiki MasuyamaDaiki TakeuchiKeisuke ImotoYasuhiro Oikawa
- Topics
- Speech and Audio Processing (34 papers)Music and Audio Processing (28 papers)Speech Recognition and Synthesis (10 papers)
- Journals
- Journal of HepatologyThe Journal of Organic ChemistryNuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms
- Partner nations
- JapanNew ZealandUnited States
In The Last Decade
Yuma Koizumi
55 papers receiving 946 citations
Peers
Comparison fields: 5 of 87
- Signal Processing 705
- Artificial Intelligence 537
- Computational Mechanics 152
- Computer Vision and Pattern Recognition 142
- Cognitive Neuroscience 99
Countries citing papers authored by Yuma Koizumi
This map shows the geographic impact of Yuma Koizumi'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 Yuma Koizumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuma Koizumi more than expected).
Fields of papers citing papers by Yuma Koizumi
This network shows the impact of papers produced by Yuma Koizumi. 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 Yuma Koizumi. The network helps show where Yuma Koizumi may publish in the future.
Co-authorship network of co-authors of Yuma Koizumi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuma Koizumi. A scholar is included among the top collaborators of Yuma Koizumi 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 Yuma Koizumi. Yuma Koizumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 86 | |
| 13 | 19 | |
| 14 | 2 | |
| 15 | 110 | |
| 16 | 28 | |
| 17 | 13 | |
| 18 | 48 | |
| 19 | 13 | |
| 20 | 0 |
About Yuma Koizumi
Yuma Koizumi is a scholar working on Signal Processing, Oral Surgery and Artificial Intelligence, having authored 61 papers that have together received 994 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Music and Audio Processing (28 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Signal Processing (705 citations), Artificial Intelligence (537 citations) and Computational Mechanics (152 citations). Yuma Koizumi has collaborated with scholars based in Japan, New Zealand and United States. Frequent co-authors include Noboru Harada, Kohei Yatabe, Shoichiro Saito, Hisashi Uematsu, Yoshiki Masuyama, Daiki Takeuchi, Keisuke Imoto, Yasuhiro Oikawa, Kazunori Kobayashi and Yusuke Hioka. Their work appears in journals such as Journal of Hepatology, The Journal of Organic Chemistry and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.
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.