Emi Z. Murano

74 total papers · 1.1k total citations
57 papers, 824 citations indexed

About

Emi Z. Murano is a scholar working on Physiology, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Emi Z. Murano has authored 57 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 14 papers in Experimental and Cognitive Psychology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Emi Z. Murano's work include Voice and Speech Disorders (26 papers), Phonetics and Phonology Research (14 papers) and Speech Recognition and Synthesis (11 papers). Emi Z. Murano is often cited by papers focused on Voice and Speech Disorders (26 papers), Phonetics and Phonology Research (14 papers) and Speech Recognition and Synthesis (11 papers). Emi Z. Murano collaborates with scholars based in United States, Japan and Brazil. Emi Z. Murano's 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 and has published in prestigious journals such as Journal of Applied Physiology, The Journal of the Acoustical Society of America and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Emi Z. Murano

54 papers receiving 796 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emi Z. Murano 316 206 177 142 133 57 824
Marina Mat Baki 378 1.2× 174 0.8× 70 0.4× 62 0.4× 246 1.8× 91 809
Hans Larsson 474 1.5× 175 0.8× 63 0.4× 211 1.5× 141 1.1× 41 915
Anne Schützenberger 580 1.8× 207 1.0× 33 0.2× 246 1.7× 146 1.1× 52 750
Kazuhiko Shoji 350 1.1× 200 1.0× 39 0.2× 111 0.8× 244 1.8× 108 716
Viktoras Šaferis 300 0.9× 182 0.9× 36 0.2× 93 0.7× 126 0.9× 41 703
Virgilijus Uloza 759 2.4× 412 2.0× 20 0.1× 252 1.8× 196 1.5× 52 880
Koichi Tsunoda 409 1.3× 272 1.3× 25 0.1× 76 0.5× 289 2.2× 81 843
Yasuhiro Shimada 195 0.6× 28 0.1× 57 0.3× 246 1.7× 71 0.5× 64 903
Hironori Takemoto 365 1.2× 97 0.5× 48 0.3× 393 2.8× 22 0.2× 54 928
Melda Kunduk 741 2.3× 347 1.7× 16 0.1× 308 2.2× 274 2.1× 59 907

Countries citing papers authored by Emi Z. Murano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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