Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Inverse filtering of room acoustics
1988492 citationsM. Miyoshi, Yutaka KanedaIEEE Transactions on Acoustics Speech and Signal Processingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Yutaka Kaneda'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 Yutaka Kaneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Kaneda more than expected).
This network shows the impact of papers produced by Yutaka Kaneda. 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 Yutaka Kaneda. The network helps show where Yutaka Kaneda may publish in the future.
Co-authorship network of co-authors of Yutaka Kaneda
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Kaneda.
A scholar is included among the top collaborators of Yutaka Kaneda 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 Yutaka Kaneda. Yutaka Kaneda 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.
Kaneda, Yutaka, et al.. (2018). Effectiveness of BMN-SS impulse response measurement method for reverberation time measurement. IEICE Technical Report; IEICE Tech. Rep.. 118(149). 29–34.
Kaneda, Yutaka, et al.. (2013). A Recursive Adaptive Method of Impulse Response Measurement with Constant SNR over Target Frequency Band. Journal of the Audio Engineering Society. 61(9). 647–655.7 indexed citations
4.
Suzuki, Takashi & Yutaka Kaneda. (2009). Sound source direction estimation based on subband peak-hold processing. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 65(10). 513–522.6 indexed citations
5.
Kaneda, Yutaka, et al.. (2008). A study of DOA estimation based on Sub-band Peak Hold processing. IEICE Technical Report; IEICE Tech. Rep.. 108(333). 71–76.
6.
Kaneda, Yutaka, et al.. (2005). A study on the optimal signal for impulse response measurement. IEICE Technical Report; IEICE Tech. Rep.. 104(715). 1–6.1 indexed citations
Haneda, Yoichi, et al.. (2000). Subjective Assessment of the Desired Echo Return Loss for Subband Acoustic Echo Cancellers. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 83(12). 2633–2639.2 indexed citations
Tanaka, M., Yutaka Kaneda, Shoji Makino, & Junji Kojima. (1995). A Fast Projection Algorithm for Adaptive Filtering. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 78(10). 1355–1361.23 indexed citations
Miyoshi, M. & Yutaka Kaneda. (1988). Inverse filtering of room acoustics. IEEE Transactions on Acoustics Speech and Signal Processing. 36(2). 145–152.492 indexed citations breakdown →
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.