Hiromu Yakura
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Jun SakumaYoshihiro OyamaMasataka GotoRiku ArakawaTomoyasu NakanoSosuke KobayashiMayank GoelJill Fain Lehman
- Topics
- Music and Audio Processing (5 papers)Music Technology and Sound Studies (4 papers)Anomaly Detection Techniques and Applications (4 papers)
- Journals
- Computers & SecurityIEEE/ACM Transactions on Audio Speech and Language ProcessingUser Modeling and User-Adapted Interaction
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hiromu Yakura
18 papers receiving 193 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 102
- Computer Networks and Communications 76
- Artificial Intelligence 72
- Information Systems 53
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Hiromu Yakura
This map shows the geographic impact of Hiromu Yakura'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 Hiromu Yakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromu Yakura more than expected).
Fields of papers citing papers by Hiromu Yakura
This network shows the impact of papers produced by Hiromu Yakura. 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 Hiromu Yakura. The network helps show where Hiromu Yakura may publish in the future.
Co-authorship network of co-authors of Hiromu Yakura
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromu Yakura. A scholar is included among the top collaborators of Hiromu Yakura 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 Hiromu Yakura. Hiromu Yakura 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 23 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 11 |
About Hiromu Yakura
Hiromu Yakura is a scholar working on Signal Processing, Health Informatics and Human-Computer Interaction, having authored 22 papers that have together received 199 indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Music Technology and Sound Studies (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (102 citations), Human-Computer Interaction (25 citations) and Computer Networks and Communications (76 citations). Hiromu Yakura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jun Sakuma, Yoshihiro Oyama, Masataka Goto, Riku Arakawa, Tomoyasu Nakano, Sosuke Kobayashi, Mayank Goel, Jill Fain Lehman, Bryan T. Carroll and Satoru Fukayama. Their work appears in journals such as Computers & Security, IEEE/ACM Transactions on Audio Speech and Language Processing and User Modeling and User-Adapted Interaction.
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.