Eiichi Miyasaka
- Co-authors
- Daniel H. TeitelbaumMatthew W. RallsYongjia FengShreya RaghavanKhalil N. BitarRobert R. GilmontSita SomaraPamela I. Brown
- Topics
- Clinical Nutrition and Gastroenterology (12 papers)Speech and Audio Processing (8 papers)Pelvic floor disorders treatments (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyGastroenterology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Eiichi Miyasaka
45 papers receiving 628 citations
Peers
Comparison fields: 5 of 93
- Surgery 293
- Nutrition and Dietetics 278
- Molecular Biology 145
- Physiology 128
- Rheumatology 72
Countries citing papers authored by Eiichi Miyasaka
This map shows the geographic impact of Eiichi Miyasaka'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 Eiichi Miyasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Miyasaka more than expected).
Fields of papers citing papers by Eiichi Miyasaka
This network shows the impact of papers produced by Eiichi Miyasaka. 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 Eiichi Miyasaka. The network helps show where Eiichi Miyasaka may publish in the future.
Co-authorship network of co-authors of Eiichi Miyasaka
This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Miyasaka. A scholar is included among the top collaborators of Eiichi Miyasaka 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 Eiichi Miyasaka. Eiichi Miyasaka 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 | 2 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 56 | |
| 7 | 78 | |
| 8 | 67 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 45 | |
| 13 | 17 | |
| 14 | Quantitative and qualitative evaluations for TV advertisements relative to the adjacent programs | 0 |
| 15 | Sound Levels of TV Advertisements Relative to the Adjacent Programs and Cross-National Comparison of the Way of their Insertion into Programs | 0 |
| 16 | 10 | |
| 17 | An Automatic Timing Detection Method Using Word Spotting and Dynamic Programming for Superimposing Captions in Television Programs | 1 |
| 18 | Construction of Japanese News Speech Databases | 2 |
| 19 | A New Approach to Compensate Degeneration of Hearing Intelligibility for Elderly Listeners | 0 |
| 20 | Detectability of switching transients | 5 |
About Eiichi Miyasaka
Eiichi Miyasaka is a scholar working on Signal Processing, Nutrition and Dietetics and Rheumatology, having authored 56 papers that have together received 656 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (12 papers), Speech and Audio Processing (8 papers) and Pelvic floor disorders treatments (6 papers). The work is most often cited by research in Nutrition and Dietetics (278 citations), Gastroenterology (56 citations) and Surgery (293 citations). Eiichi Miyasaka has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Daniel H. Teitelbaum, Matthew W. Ralls, Yongjia Feng, Shreya Raghavan, Khalil N. Bitar, Robert R. Gilmont, Sita Somara, Pamela I. Brown, Farokh R. Demehri and Meredith Barrett. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Gastroenterology.
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.