Noboru Miyazaki

34 total papers · 458 total citations
27 papers, 315 citations indexed

About

Noboru Miyazaki is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noboru Miyazaki has authored 27 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Noboru Miyazaki's work include Speech and dialogue systems (12 papers), Speech and Audio Processing (10 papers) and Speech Recognition and Synthesis (10 papers). Noboru Miyazaki is often cited by papers focused on Speech and dialogue systems (12 papers), Speech and Audio Processing (10 papers) and Speech Recognition and Synthesis (10 papers). Noboru Miyazaki collaborates with scholars based in Japan, United States and United Kingdom. Noboru Miyazaki's co-authors include Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, Mikio Nakano, Tomohiro Nakatani, Kentaro Ishizuka, Masakiyo Fujimoto, Kiyoaki Aikawa, Takeshi Kawabata and Kohji Dohsaka and has published in prestigious journals such as The Journal of the Acoustical Society of America, Speech Communication and Journal of the Japan Institute of Metals and Materials.

In The Last Decade

Noboru Miyazaki

24 papers receiving 273 citations

Author Peers

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

Author Last Decade Papers Cites
Noboru Miyazaki 280 177 35 15 13 27 315
Bajibabu Bollepalli 224 0.8× 188 1.1× 58 1.7× 10 0.7× 20 1.5× 24 280
Yanhua Long 222 0.8× 194 1.1× 17 0.5× 13 0.9× 22 1.7× 60 274
Joel Pinto 306 1.1× 240 1.4× 27 0.8× 6 0.4× 23 1.8× 24 343
Bagher BabaAli 267 1.0× 197 1.1× 35 1.0× 8 0.5× 43 3.3× 37 363
Rama Doddipatla 247 0.9× 229 1.3× 34 1.0× 26 1.7× 11 0.8× 51 302
Thomas Pellegrini 237 0.8× 158 0.9× 58 1.7× 21 1.4× 54 4.2× 49 366
Nagaraj Adiga 269 1.0× 246 1.4× 62 1.8× 7 0.5× 17 1.3× 29 315
M. A. Anusuya 215 0.8× 179 1.0× 24 0.7× 6 0.4× 39 3.0× 22 299
Gil Keren 181 0.6× 130 0.7× 33 0.9× 8 0.5× 33 2.5× 19 263
Ravichander Vipperla 272 1.0× 224 1.3× 37 1.1× 20 1.3× 41 3.2× 23 349

Countries citing papers authored by Noboru Miyazaki

Since Specialization
Citations

This map shows the geographic impact of Noboru Miyazaki'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 Noboru Miyazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Miyazaki more than expected).

Fields of papers citing papers by Noboru Miyazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noboru Miyazaki. 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 Noboru Miyazaki. The network helps show where Noboru Miyazaki may publish in the future.

Co-authorship network of co-authors of Noboru Miyazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Miyazaki. A scholar is included among the top collaborators of Noboru Miyazaki 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 Noboru Miyazaki. Noboru Miyazaki 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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