Emi Z. Murano
- Physiology top 10%
- Speech and Hearing top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Experimental and Cognitive Psychology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Jerry L. PrinceJonghye WooMaureen StoneTakayuki ItoHiroaki GomiJunghoon LeeFangxu XingMoriel NessAiver
- Topics
- Voice and Speech Disorders (26 papers)Phonetics and Phonology Research (14 papers)Speech Recognition and Synthesis (11 papers)
- Journals
- Journal of Applied PhysiologyThe Journal of the Acoustical Society of AmericaInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Emi Z. Murano
54 papers receiving 799 citations
Peers
Comparison fields: 5 of 97
- Physiology 319
- Speech and Hearing 207
- Radiology, Nuclear Medicine and Imaging 178
- Experimental and Cognitive Psychology 143
- Pulmonary and Respiratory Medicine 133
Countries citing papers authored by Emi Z. Murano
This map shows the geographic impact of Emi Z. Murano'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 Emi Z. Murano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Z. Murano more than expected).
Fields of papers citing papers by Emi Z. Murano
This network shows the impact of papers produced by Emi Z. Murano. 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 Emi Z. Murano. The network helps show where Emi Z. Murano may publish in the future.
Co-authorship network of co-authors of Emi Z. Murano
This figure shows the co-authorship network connecting the top 25 collaborators of Emi Z. Murano. A scholar is included among the top collaborators of Emi Z. Murano 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 Emi Z. Murano. Emi Z. Murano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 32 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 56 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 53 | |
| 12 | 9 | |
| 13 | 31 | |
| 14 | 16 | |
| 15 | Mechanism of lip protrusion in vowel production | 3 |
| 16 | 10 | |
| 17 | Vocal Fold and False Vocal Fold Vibrations in Throat Singing and Synthesis of Khöömei | 16 |
| 18 | 53 | |
| 19 | 12 | |
| 20 | Comparação entre o rx convencional e a tomografia computadorizada coronal em adultos com sinusopatia crônica recorrente | 1 |
About Emi Z. Murano
Emi Z. Murano is a scholar working on Computational Mathematics, Otorhinolaryngology and Speech and Hearing, having authored 57 papers that have together received 827 indexed citations. Recurring topics across this work include Voice and Speech Disorders (26 papers), Phonetics and Phonology Research (14 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Speech and Hearing (207 citations), Otorhinolaryngology (87 citations) and Physiology (319 citations). Emi Z. Murano has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Jerry L. Prince, Jonghye Woo, Maureen Stone, Maureen Stone, Takayuki Ito, Hiroaki Gomi, Junghoon Lee, Fangxu Xing, Moriel NessAiver and Seiji Niimi. Their work appears in journals such as Journal of Applied Physiology, The Journal of the Acoustical Society of America and International Journal of Radiation Oncology*Biology*Physics.
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.