M. Miyoshi

1.2k total citations · 1 hit paper
17 papers, 851 citations indexed

About

M. Miyoshi is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, M. Miyoshi has authored 17 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 11 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in M. Miyoshi's work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (11 papers) and Blind Source Separation Techniques (5 papers). M. Miyoshi is often cited by papers focused on Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (11 papers) and Blind Source Separation Techniques (5 papers). M. Miyoshi collaborates with scholars based in Japan and United States. M. Miyoshi's co-authors include Yutaka Kaneda, Tomohiro Nakatani, Keisuke Kinoshita, Marc Delcroix, Takuya Yoshioka, Biing‐Hwang Juang, Yoichiro Horii, Tsuguhide Takeshima, Yoji Iwasaki and Kouji Iida and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Research in Veterinary Science and IEEE Transactions on Acoustics Speech and Signal Processing.

In The Last Decade

M. Miyoshi

17 papers receiving 784 citations

Hit Papers

align trajectories

What are hit papers?

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

1988 492 citations M. Miyoshi, Yutaka Kaneda IEEE Transactions on Acoustics Speech and Signal Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Miyoshi Japan	10	785	587	200	152	134	17	851
Christophe Beaugeant Germany	13	437 0.6×	312 0.5×	83 0.4×	118 0.8×	85 0.6×	51	482
Liming Shi China	11	288 0.4×	234 0.4×	53 0.3×	47 0.3×	60 0.4×	34	372
Osamu Hoshuyama Japan	7	466 0.6×	424 0.7×	36 0.2×	44 0.3×	119 0.9×	24	509
Yekutiel Avargel Israel	7	289 0.4×	219 0.4×	56 0.3×	31 0.2×	45 0.3×	13	361
Ernst Warsitz Germany	8	265 0.3×	171 0.3×	30 0.1×	109 0.7×	84 0.6×	19	421
Yan-Hui Tu China	12	414 0.5×	121 0.2×	45 0.2×	270 1.8×	24 0.2×	29	497
Hamid Reza Abutalebi Iran	10	289 0.4×	171 0.3×	34 0.2×	55 0.4×	26 0.2×	63	324
Abhishek Sehgal United States	9	141 0.2×	72 0.1×	57 0.3×	78 0.5×	22 0.2×	22	272
Daniele Salvati Italy	14	344 0.4×	102 0.2×	24 0.1×	61 0.4×	59 0.4×	34	420
Messaoud Benidir France	6	363 0.5×	74 0.1×	55 0.3×	12 0.1×	58 0.4×	18	498

Countries citing papers authored by M. Miyoshi

Since Specialization

Citations

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

Fields of papers citing papers by M. Miyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Miyoshi

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

All Works

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17 of 17 papers shown

Kinoshita, Keisuke, Marc Delcroix, Tomohiro Nakatani, & M. Miyoshi. (2009). Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction. IEEE Transactions on Audio Speech and Language Processing. 17(4). 534–545. 123 indexed citations

Yoshioka, Takuya, Tomohiro Nakatani, & M. Miyoshi. (2009). Integrated Speech Enhancement Method Using Noise Suppression and Dereverberation. IEEE Transactions on Audio Speech and Language Processing. 17(2). 231–246. 60 indexed citations

Kinoshita, Keisuke, Tomohiro Nakatani, & M. Miyoshi. (2006). Fast Estimation of a Precise Dereverberation Filter based on Speech Harmonicity. 1. 1073–1076. 6 indexed citations

Nakatani, Tomohiro, Biing‐Hwang Juang, Keisuke Kinoshita, & M. Miyoshi. (2006). Harmonicity based dereverberation with maximum a posteriori estimation. 2. 94–97. 1 indexed citations

Nakatani, Tomohiro, Biing‐Hwang Juang, Keisuke Kinoshita, & M. Miyoshi. (2006). Speech Dereverberation Based on Probabilistic Models of Source and Room Acoustics. 1. I–821. 9 indexed citations

Kinoshita, Keisuke, Tomohiro Nakatani, & M. Miyoshi. (2006). Spectral Subtraction Steered by Multi-Step Forward Linear Prediction For Single Channel Speech Dereverberation. 1. I–817. 49 indexed citations

Delcroix, Marc, et al.. (2006). On the Use of Lime Dereverberation Algorithm in an Acoustic Environment With a Noise Source. 1. I–825. 10 indexed citations

Delcroix, Marc, et al.. (2006). Blind Dereverberation based on Estimates of Signal Transmission Channels without Precise Information of Channel Order. 1. 1069–1072. 14 indexed citations

Miyoshi, M. & Yutaka Kaneda. (2005). Inverse control of room acoustics using multiple loudspeakers and/Or microphones. 11. 917–920. 3 indexed citations

10.

Miyoshi, M., et al.. (2004). Blind algorithm for calculating common poles based on linear prediction. 4. iv–89. 10 indexed citations

11.

Nakatani, Tomohiro & M. Miyoshi. (2003). Blind dereverberation of single channel speech signal based on harmonic structure. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–92. 44 indexed citations

12.

Hayabuchi, Naofumi, et al.. (1990). [Radiotherapy and chemotherapy in stages I and II non-Hodgkin's lymphomas of Waldeyer's ring].. PubMed. 25(7). 1428–36. 3 indexed citations

13.

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 →

14.

Nishimura, Akira, Sei-ichiro SAKATA, Kouji Iida, et al.. (1988). Evaluation of intraoperative radiotherapy for carcinoma of the pancreas: prognostic factors and survival analyses.. PubMed. 6(2). 85–91. 13 indexed citations

15.

Horii, Yoichiro, et al.. (1985). Neutrophilic nodules in the intestinal walls of Japanese monkeys associated with the neutrophil chemotactic activity of larval extracts and secretions of Oesophagostomum aculeatum. Research in Veterinary Science. 38(1). 115–119. 7 indexed citations

16.

Miyoshi, M., et al.. (1985). [Radiotherapy of pancreatic carcinoma].. PubMed. 31(8). 933–6. 1 indexed citations

17.

Miyoshi, M., et al.. (1975). Two autopsy cases of diffuse gastrointestinal polyposis with ectodermal changes. Cronkhite-Canada syndrome.. PubMed. 64(5). 357–64. 6 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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