Kazunobu Kondo

891 total citations
70 papers, 600 citations indexed

About

Kazunobu Kondo is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Kazunobu Kondo has authored 70 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Signal Processing, 38 papers in Computational Mechanics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Kazunobu Kondo's work include Speech and Audio Processing (57 papers), Blind Source Separation Techniques (53 papers) and Advanced Adaptive Filtering Techniques (37 papers). Kazunobu Kondo is often cited by papers focused on Speech and Audio Processing (57 papers), Blind Source Separation Techniques (53 papers) and Advanced Adaptive Filtering Techniques (37 papers). Kazunobu Kondo collaborates with scholars based in Japan, United States and Canada. Kazunobu Kondo's co-authors include Hiroshi Saruwatari, Yu Takahashi, Kiyohiro Shikano, Daichi Kitamura, Norihiro Takamune, Shigenobu Yamakoshi, Nobutaka Ono, Satoshi Nakamura, K. Wakao and Ryoichi Miyazaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Access.

In The Last Decade

Kazunobu Kondo

63 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazunobu Kondo Japan 14 477 328 83 53 52 70 600
Kazunori Kobayashi Japan 10 237 0.5× 132 0.4× 44 0.5× 17 0.3× 55 1.1× 66 357
Marcus Zeller Germany 11 244 0.5× 266 0.8× 162 2.0× 27 0.5× 54 1.0× 27 457
Juhwan Yoo United States 7 78 0.2× 232 0.7× 132 1.6× 30 0.6× 266 5.1× 11 429
Richard A. Greiner United States 9 133 0.3× 186 0.6× 42 0.5× 15 0.3× 109 2.1× 23 289
Bhabesh Deka India 12 27 0.1× 77 0.2× 36 0.4× 120 2.3× 103 2.0× 62 350
D. Sen Australia 8 134 0.3× 58 0.2× 212 2.6× 149 2.8× 7 0.1× 24 397
Elaine Crespo Marques France 6 41 0.1× 106 0.3× 138 1.7× 33 0.6× 58 1.1× 13 273
Dikpal Reddy United States 9 33 0.1× 159 0.5× 54 0.7× 183 3.5× 91 1.8× 15 342
Jafar Ramadhan Mohammed Iraq 13 110 0.2× 66 0.2× 194 2.3× 19 0.4× 12 0.2× 71 449
Xia Zou China 9 123 0.3× 53 0.2× 61 0.7× 43 0.8× 12 0.2× 42 346

Countries citing papers authored by Kazunobu Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Kazunobu Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazunobu Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Kazunobu Kondo. A scholar is included among the top collaborators of Kazunobu Kondo 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 Kazunobu Kondo. Kazunobu Kondo 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
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Takamune, Norihiro, et al.. (2020). Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Student’s t-distribution. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 869–874. 1 indexed citations
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Takamune, Norihiro, et al.. (2020). Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix. Signal Processing. 178. 107753–107753. 6 indexed citations
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Kubo, Yuki, Norihiro Takamune, Daichi Kitamura, et al.. (2019). FastMNMF based on multivariant complex Student's t distribution for blind source separation. IEICE Technical Report; IEICE Tech. Rep.. 119(253). 23–29. 1 indexed citations
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Takamune, Norihiro, Daichi Kitamura, Hiroshi Saruwatari, et al.. (2019). Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model for Determined Blind Source Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 503–518. 21 indexed citations
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Kitamura, Daichi, Nobutaka Ono, Hiroshi Saruwatari, Yu Takahashi, & Kazunobu Kondo. (2016). Discriminative and reconstructive basis training for audio source separation with semi-supervised nonnegative matrix factorization. 401. 1–5. 8 indexed citations
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Kitamura, Daichi, Hiroshi Saruwatari, Hirokazu Kameoka, et al.. (2015). Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(4). 654–669. 29 indexed citations
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Kitamura, Daichi, et al.. (2014). Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E97.A(5). 1113–1118. 20 indexed citations
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Kitamura, Daichi, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, & Yu Takahashi. (2013). Importance of Regularization in Superresolution-Based Multichannel Signal Separation with Nonnegative Matrix Factorization. 2013(14). 1–6.
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Kitamura, Daichi, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, & Yu Takahashi. (2013). Music signal separation by supervised nonnegative matrix factorization with basis deformation. 13. 1–6. 6 indexed citations
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Saruwatari, Hiroshi, et al.. (2012). Comparative study on various noise reduction methods with decision-directed a priori SNR estimator via higher-order statistics. NAIST Digital Library (Nara Institute of Science and Technology). 1–6. 4 indexed citations
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Miyazaki, Ryoichi, et al.. (2012). Mathematical Metric of Musical Noise for Various Nonlinear Speech Enhancement Algorithms. IEICE Technical Report; IEICE Tech. Rep.. 112(76). 67–72.
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Miyazaki, Ryoichi, Hiroshi Saruwatari, Kiyohiro Shikano, & Kazunobu Kondo. (2012). Musical-Noise-Free Blind Speech Extraction Using ICA-Based Noise Estimation with Channel Selection. 1–4. 2 indexed citations
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Miyazaki, Ryoichi, Hiroshi Saruwatari, Kiyohiro Shikano, & Kazunobu Kondo. (2012). Musical-noise-free blind speech extraction using ICA-based noise estimation and iterative spectral subtraction. 286–291. 2 indexed citations
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Kondo, Kazunobu, Yu Takahashi, Hiroshi Saruwatari, & Kiyohiro Shikano. (2010). Musical-Noise Analysis in Methods of Integrating Microphone Array and Spectral Subtraction Based on Higher-Order Statistics. SHILAP Revista de lepidopterología. 1 indexed citations
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Saruwatari, Hiroshi, et al.. (2010). Musical Noise Controllable Algorithm of Channelwise Spectral Subtraction and Adaptive Beamforming Based on Higher Order Statistics. IEEE Transactions on Audio Speech and Language Processing. 19(6). 1457–1466. 10 indexed citations
20.
Kondo, Kazunobu, et al.. (1989). Optical exclusive-OR operation using tunable wavelength conversion laser diode. Electronics Letters. 25(22). 1485–1486. 5 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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