Citations per year, relative to Masato Akagi Masato Akagi (= 1×)
peers
Kun Han
Countries citing papers authored by Masato Akagi
Since
Specialization
Citations
This map shows the geographic impact of Masato Akagi'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 Masato Akagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Akagi more than expected).
This network shows the impact of papers produced by Masato Akagi. 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 Masato Akagi. The network helps show where Masato Akagi may publish in the future.
Co-authorship network of co-authors of Masato Akagi
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Akagi.
A scholar is included among the top collaborators of Masato Akagi 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 Masato Akagi. Masato Akagi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kubo, Rieko, et al.. (2017). Acoustical rules for mimicking Lombard speech produced in a various noise level background. IEICE Technical Report; IEICE Tech. Rep.. 117.
8.
Unoki, Masashi, et al.. (2017). Method of Blindly Estimating Speech Transmission Index in Noisy Reverberant Environments.. J. Inf. Hiding Multim. Signal Process.. 8. 1430–1445.6 indexed citations
9.
Lu, Xugang, et al.. (2017). Method of Estimating Signal-to-Noise Ratio Based on Optimal Design for Sub-band Voice Activity Detection.. J. Inf. Hiding Multim. Signal Process.. 8. 1446–1459.1 indexed citations
10.
Kubo, Rieko, et al.. (2016). Lombard effects on speech annoyance and speech intelligibility in noisy environments. IEICE Technical Report; IEICE Tech. Rep.. 115(523). 93–98.1 indexed citations
11.
Akagi, Masato, et al.. (2013). Acoustic sound source tracking for a moving object using precise Doppler-Shift measurement. JAIST Repository. 1–5.3 indexed citations
12.
Unoki, Masashi, et al.. (2013). Blind method of estimating speech transmission index from reverberant speech signals. European Signal Processing Conference. 1–5.9 indexed citations
13.
Akagi, Masato, et al.. (2012). A concatenative speech synthesis for monosyllabic languages with limited data. JAIST Repository. 1–10.2 indexed citations
14.
Lu, Xugang, et al.. (2011). Study on the power envelope restoration based on the MTF concept and its application to ASR systems in noisy reverberant environments. IEICE technical report. Speech. 111(26). 37–42.
15.
Akagi, Masato, et al.. (2011). Privacy protection for speech based on concepts of auditory scene analysis. JAIST Repository. 111(334). 19–24.11 indexed citations
16.
Unoki, Masashi, et al.. (2010). Comparative evaluation of bone-conducted-speech restoration based on linear prediction scheme. IEICE Technical Report; IEICE Tech. Rep.. 110(71). 53–58.
17.
Unoki, Masashi, et al.. (2006). Effect of ITD and component frequencies on perception of alarm signals in noisy environments. JAIST Repository. 10(4). 231–234.1 indexed citations
18.
Lu, Xugang, Masashi Unoki, & Masato Akagi. (2006). Sub-band temporal envelope restoration for ASR in reverberation environment. 36(1). 73–78.1 indexed citations
19.
Akagi, Masato, et al.. (2006). A STUDY ON RESTORATION OF BONE-CONDUCTED SPEECH WITH LPC-BASED MODEL. 36(1). 67–72.3 indexed citations
20.
Unoki, Masashi, et al.. (2005). Fundamental frequency estimation for noisy speech based on instantaneous amplitude and frequency. JAIST Repository. 2005. 1–31.1 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.