Masafumi Nishimura

950 total citations
108 papers, 627 citations indexed

About

Masafumi Nishimura is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masafumi Nishimura has authored 108 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 49 papers in Signal Processing and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masafumi Nishimura's work include Speech Recognition and Synthesis (43 papers), Speech and Audio Processing (40 papers) and Music and Audio Processing (26 papers). Masafumi Nishimura is often cited by papers focused on Speech Recognition and Synthesis (43 papers), Speech and Audio Processing (40 papers) and Music and Audio Processing (26 papers). Masafumi Nishimura collaborates with scholars based in Japan, United States and Canada. Masafumi Nishimura's co-authors include Osamu Ichikawa, Takashi Fukuda, Tracie Barber, John Simonich, S. Narayanan, Tetsuaki Arai, Ryuki Tachibana, Kiyotaka Nemoto, Gakuto Kurata and Masayuki Suzuki and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Journal of Affective Disorders.

In The Last Decade

Masafumi Nishimura

97 papers receiving 574 citations

Peers

Masafumi Nishimura
Masafumi Nishimura
Citations per year, relative to Masafumi Nishimura Masafumi Nishimura (= 1×) peers Corneliu Rusu

Countries citing papers authored by Masafumi Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Masafumi Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masafumi Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Masafumi Nishimura. A scholar is included among the top collaborators of Masafumi Nishimura 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 Masafumi Nishimura. Masafumi Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Nishida, Masafumi, et al.. (2023). Eating and Drinking Behavior Recognition Using Multimodal Fusion. 210–213. 1 indexed citations
3.
Shinkawa, Kaoru, Masatomo Kobayashi, Yasunori Yamada, et al.. (2022). Screening of Mild Cognitive Impairment Through Conversations With Humanoid Robots: Exploratory Pilot Study. JMIR Formative Research. 7. e42792–e42792. 4 indexed citations
4.
Nakamura, Akihiro, et al.. (2021). Automatic Detection of Chewing and Swallowing. Sensors. 21(10). 3378–3378. 12 indexed citations
5.
Nakamura, Akihiro, et al.. (2020). Automatic Detection of the Chewing Side Using Two-channel Recordings under the Ear. 82–83. 1 indexed citations
6.
Shinkawa, Kaoru, Masafumi Nishimura, Miyuki Nemoto, et al.. (2019). Multimodal Behavior Analysis Towards Detecting Mild Cognitive Impairment: Preliminary Results on Gait and Speech. Studies in health technology and informatics. 264. 343–347. 11 indexed citations
7.
Abe, Masanao, Toru Yada, Tatsuaki Okada, et al.. (2017). JAXA's Astromaterials Science Research Group and Curation Facility for Hayabusa and Hayabusa2 Asteroids Sample Returned Mission. Lunar and Planetary Science Conference. 1760. 1 indexed citations
8.
Tachikawa, Hirokazu, Kiyotaka Nemoto, Masayuki Suzuki, et al.. (2017). Major depressive disorder discrimination using vocal acoustic features. Journal of Affective Disorders. 225. 214–220. 98 indexed citations
9.
Mineno, Hiroshi, et al.. (2017). Conversational and Eating Behavior Recognition by Leveraging Throat Sound.. IEICE Technical Report; IEICE Tech. Rep.. 117(368). 23–27. 1 indexed citations
10.
Kurata, Gakuto, et al.. (2014). A METRIC FOR EVALUATING SPEECH RECOGNITION ACCURACY BASED ON HUMAN PERCEPTION. IEICE technical report. Speech. 114(11). 1–4. 1 indexed citations
12.
Kurata, Gakuto, Osamu Ichikawa, & Masafumi Nishimura. (2009). Speech Input Method in Automobiles Reflecting Analysis on How Users Speak. 2009(2). 1–6. 1 indexed citations
13.
Tachibana, Ryuki, Tohru Nagano, & Masafumi Nishimura. (2007). F0 Gradient Model for Acoustic Quality and F0 Consistency of Concatenative TTS. IPSJ SIG Notes. 2007(129). 253–258.
14.
Maenaka, Kazusuke, et al.. (2006). Novel Solid Micro-Gyroscope. 634–637. 27 indexed citations
15.
Ichikawa, Osamu, Tetsuya Takiguchi, & Masafumi Nishimura. (2004). Sound Source Localization Using a Profile Fitting Method with Sound Reflectors. IEICE Transactions on Information and Systems. 87(5). 1138–1145. 2 indexed citations
16.
Ichikawa, Osamu, Tetsuya Takiguchi, & Masafumi Nishimura. (2003). Speech Enhancement by Profile Fitting Method. IEICE Transactions on Information and Systems. 86(3). 514–521. 3 indexed citations
17.
Nishimura, Masafumi & N. Kimura. (2003). URANS computations for an oscillatory non‐isothermal triple‐jet using the kε and second moment closure turbulence models. International Journal for Numerical Methods in Fluids. 43(9). 1019–1044. 6 indexed citations
18.
Ohta, M., et al.. (1994). TWO KINDS OF STATIC AND DYNAMIC STATE ESTIMATION METHODS BY USING WIND SPEED INFORMATION IN ENVIRONMENTAL LOW-FREQUENCY NOISE MEASUREMENT. 한국소음진동공학회 국제학술발표논문집. 806–811. 1 indexed citations
19.
Nishimura, Masafumi, et al.. (1986). Monosyllable Recognition by Using Intermediate Cumulative Distance and Normalized Distance Similarity. 27(1). 41–48.
20.
Nishimura, Masafumi, et al.. (1983). The Effect of Measuring Time Interval on Leq Evaluation for Road Traffic Noise with an Equally-spaced Model. 7(4). 225–230. 1 indexed citations

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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