Daichi Kitamura

1.7k total citations · 1 hit paper
76 papers, 901 citations indexed

About

Daichi Kitamura is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daichi Kitamura has authored 76 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Signal Processing, 47 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daichi Kitamura's work include Speech and Audio Processing (66 papers), Blind Source Separation Techniques (64 papers) and Advanced Adaptive Filtering Techniques (44 papers). Daichi Kitamura is often cited by papers focused on Speech and Audio Processing (66 papers), Blind Source Separation Techniques (64 papers) and Advanced Adaptive Filtering Techniques (44 papers). Daichi Kitamura collaborates with scholars based in Japan, United States and Germany. Daichi Kitamura's co-authors include Hiroshi Saruwatari, Nobutaka Ono, Hirokazu Kameoka, Hiroshi Sawada, Norihiro Takamune, Kohei Yatabe, Kazunobu Kondo, Yu Takahashi, Shinnosuke Takamichi and Kiyohiro Shikano and has published in prestigious journals such as IEEE Access, Advanced Synthesis & Catalysis and Signal Processing.

In The Last Decade

Daichi Kitamura

67 papers receiving 879 citations

Hit Papers

Determined Blind Source Separation Unifying Independent V... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization
    2016 253 citations Daichi Kitamura, Nobutaka Ono et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daichi Kitamura Japan 15 833 495 104 75 35 76 901
Tsuyoki Nishikawa Japan 12 842 1.0× 580 1.2× 91 0.9× 40 0.5× 34 1.0× 48 854
Derry Fitzgerald Ireland 15 832 1.0× 226 0.5× 124 1.2× 243 3.2× 68 1.9× 51 888
Francesco Nesta Italy 12 568 0.7× 226 0.5× 227 2.2× 33 0.4× 47 1.3× 34 606
Norihiro Takamune Japan 11 330 0.4× 186 0.4× 54 0.5× 36 0.5× 19 0.5× 50 365
Maria G. Jafari United Kingdom 11 376 0.5× 215 0.4× 46 0.4× 162 2.2× 54 1.5× 32 513
Koby Todros Israel 11 245 0.3× 102 0.2× 70 0.7× 26 0.3× 61 1.7× 44 431
Siow Yong Low Australia 9 284 0.3× 238 0.5× 33 0.3× 36 0.5× 29 0.8× 45 336
Laurent Benaroya France 8 306 0.4× 152 0.3× 74 0.7× 113 1.5× 16 0.5× 17 389
Muhammad Z. Ikram United States 12 292 0.4× 180 0.4× 40 0.4× 66 0.9× 10 0.3× 25 458
V. G. Reju Singapore 7 264 0.3× 113 0.2× 30 0.3× 42 0.6× 12 0.3× 17 330

Countries citing papers authored by Daichi Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Kitamura. A scholar is included among the top collaborators of Daichi Kitamura 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 Daichi Kitamura. Daichi Kitamura 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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Kitamura, Daichi, et al.. (2023). Amplitude Spectrogram Prediction from Mel-Frequency Cepstrum Coefficients Using Deep Neural Networks. Journal of Signal Processing. 27(6). 207–211. 1 indexed citations
4.
Takamune, Norihiro, et al.. (2023). Blind Source Separation Using Independent Low-Rank Matrix Analysis with Spectrogram-Consistency Regularization. 10. 1050–1057. 1 indexed citations
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Narisawa, Naoki, Rintaro Ikeshita, Norihiro Takamune, et al.. (2021). Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. 2021 29th European Signal Processing Conference (EUSIPCO). 326–330.
7.
Kitamura, Daichi & Kohei Yatabe. (2020). Consistent independent low-rank matrix analysis for determined blind source separation. EURASIP Journal on Advances in Signal Processing. 2020(1). 16 indexed citations
8.
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
9.
Kitamura, Daichi, et al.. (2020). DNN-Based Permutation Solver for Frequency-Domain Independent Component Analysis in Two-Source Mixture Case. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 781–787. 1 indexed citations
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Takamune, Norihiro, et al.. (2020). Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1948–1963. 9 indexed citations
12.
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
13.
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
14.
Takamune, Norihiro, et al.. (2019). Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(10). 1601–1615. 50 indexed citations
15.
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
16.
Kitamura, Daichi, et al.. (2018). Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA. IEICE Technical Report; IEICE Tech. Rep.. 117(515). 13–20. 3 indexed citations
17.
Kitamura, Daichi, Norihiro Takamune, Shoichi Koyama, et al.. (2016). Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation. 27. 1143–1147. 3 indexed citations
18.
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
19.
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.
20.
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

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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