Takahiro Emoto
- Pulmonary and Respiratory Medicine
- Signal Processing top 10%
- Physiology
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Masatake AkutagawaUdantha R. AbeyratneYohsuke KinouchiAkira TakahashiTakaaki ShimohataKazuaki MawatariTakashi UebansoO. Jinnouchi
- Topics
- Speech and Audio Processing (9 papers)Music and Audio Processing (8 papers)Phonocardiography and Auscultation Techniques (7 papers)
In The Last Decade
Takahiro Emoto
39 papers receiving 375 citations
Peers
Comparison fields: 5 of 106
- Pulmonary and Respiratory Medicine 145
- Signal Processing 75
- Physiology 64
- Biomedical Engineering 59
- Radiology, Nuclear Medicine and Imaging 37
Countries citing papers authored by Takahiro Emoto
This map shows the geographic impact of Takahiro Emoto'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 Takahiro Emoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Emoto more than expected).
Fields of papers citing papers by Takahiro Emoto
This network shows the impact of papers produced by Takahiro Emoto. 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 Takahiro Emoto. The network helps show where Takahiro Emoto may publish in the future.
Co-authorship network of co-authors of Takahiro Emoto
This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Emoto. A scholar is included among the top collaborators of Takahiro Emoto 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 Takahiro Emoto. Takahiro Emoto 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 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 57 | |
| 10 | 41 | |
| 11 | 11 | |
| 12 | The impact of visceral fat and blood flow velocity in hypertensive subjects running head: The impact of visceral fat and blood flow velocity | 3 |
| 13 | 10 | |
| 14 | 16 | |
| 15 | Study on blood flow velocity patterns using one-dimensional computer simulation of human arteries | 1 |
| 16 | Improving the cell extraction rate using ellipse template image processing | 0 |
| 17 | 11 | |
| 18 | Extracting blood vessel parameters on image of large intestine endoscope | 1 |
| 19 | 7 | |
| 20 | 3 |
About Takahiro Emoto
Takahiro Emoto is a scholar working on Signal Processing, Gastroenterology and Pharmacy, having authored 45 papers that have together received 385 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers) and Phonocardiography and Auscultation Techniques (7 papers). The work is most often cited by research in Signal Processing (75 citations), Endocrine and Autonomic Systems (34 citations) and Pulmonary and Respiratory Medicine (145 citations). Takahiro Emoto has collaborated with scholars based in Japan, Australia and Malaysia. Frequent co-authors include Masatake Akutagawa, Udantha R. Abeyratne, Yohsuke Kinouchi, Akira Takahashi, Takaaki Shimohata, Kazuaki Mawatari, Takashi Uebanso, O. Jinnouchi, Yi Yang and Qinyu Zhang. Their work appears in journals such as Sensors, Journal of Photochemistry and Photobiology B Biology and Applied Sciences.
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.