Nobuhiko Kitawaki

1.2k total citations
64 papers, 819 citations indexed

About

Nobuhiko Kitawaki is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nobuhiko Kitawaki has authored 64 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Signal Processing, 36 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Nobuhiko Kitawaki's work include Speech and Audio Processing (38 papers), Advanced Data Compression Techniques (30 papers) and Advanced Adaptive Filtering Techniques (13 papers). Nobuhiko Kitawaki is often cited by papers focused on Speech and Audio Processing (38 papers), Advanced Data Compression Techniques (30 papers) and Advanced Adaptive Filtering Techniques (13 papers). Nobuhiko Kitawaki collaborates with scholars based in Japan, United States and France. Nobuhiko Kitawaki's co-authors include K. Itoh, Akihiro Takahashi, Hajime Yoshino, F. Asano, Yutaka Kaneda, Yoichi Haneda, Hideki Asoh, Mariko Ogawa, Shiro Ikeda and Takeshi Yamada and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Nobuhiko Kitawaki

59 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuhiko Kitawaki Japan 14 527 280 217 160 155 64 819
A. Alwan United States 14 629 1.2× 154 0.6× 206 0.9× 128 0.8× 435 2.8× 41 908
John Adcock United States 15 436 0.8× 272 1.0× 143 0.7× 19 0.1× 152 1.0× 37 795
Karlheinz Brandenburg Germany 19 1.2k 2.2× 936 3.3× 362 1.7× 44 0.3× 90 0.6× 75 1.5k
Jöern Ostermann Germany 14 709 1.3× 1.1k 4.1× 87 0.4× 166 1.0× 57 0.4× 45 1.4k
Jan Skoglund United States 15 643 1.2× 423 1.5× 200 0.9× 37 0.2× 272 1.8× 61 831
S.V. Andersen Denmark 10 341 0.6× 274 1.0× 154 0.7× 78 0.5× 134 0.9× 42 518
Giuseppe Valenzise France 19 421 0.8× 930 3.3× 177 0.8× 29 0.2× 159 1.0× 85 1.3k
D. R. Reddy United States 16 328 0.6× 132 0.5× 318 1.5× 41 0.3× 623 4.0× 59 1.2k
Guillaume Lathoud Switzerland 16 615 1.2× 326 1.2× 128 0.6× 28 0.2× 572 3.7× 31 1.1k
M. P. Hollier United Kingdom 11 2.0k 3.8× 390 1.4× 917 4.2× 111 0.7× 900 5.8× 25 2.3k

Countries citing papers authored by Nobuhiko Kitawaki

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhiko Kitawaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhiko Kitawaki

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiko Kitawaki. A scholar is included among the top collaborators of Nobuhiko Kitawaki 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 Nobuhiko Kitawaki. Nobuhiko Kitawaki 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.
Yamada, Takeshi, Shoji Makino, & Nobuhiko Kitawaki. (2011). Subjective and objective quality evaluation of noise-reduced speech. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 67(10). 476–481. 1 indexed citations
2.
Takahashi, Shin, et al.. (2010). WINDS (KIZUNA)-based Collaborative e-Learning Project in Thailand, Malaysia and Japan. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 8(ists27). Tj_1–Tj_9.
3.
Yamada, Takeshi, et al.. (2010). Non-reference Objective Quality Evaluation for Noise-Reduced Speech Using Overall Quality Estimation Model. IEICE Transactions on Communications. E93-B(6). 1367–1372. 1 indexed citations
4.
Kamikura, Kazuto, et al.. (2010). MPEG-2/H.264 Transcoding with Vector Conversion Reducing Re-Quantization Noise. 2. 1–6. 1 indexed citations
5.
Yamada, Takeshi, et al.. (2010). Performance estimation of noisy speech recognition considering recognition task complexity. 2042–2045. 2 indexed citations
6.
Shinohara, Yuki, et al.. (2008). Quality estimation model of noise-reduced speech and its application to non-reference objective quality evaluation. IEICE technical report. Speech. 108(287). 59–63. 2 indexed citations
7.
Kitawaki, Nobuhiko, et al.. (2007). Objective Quality Assessment of Audio coding, Taking Account of Coding and Packet Loss. IEICE Technical Report; IEICE Tech. Rep.. 106(495). 67–70. 1 indexed citations
8.
Yamada, Takahiro, et al.. (2005). Estimation of speech recognition performance using subjective/objective quality of noise reduction algorithms. 2005(1). 79–80. 1 indexed citations
9.
Kitawaki, Nobuhiko. (2005). Objective Quality Assessment of Wideband Speech Coding. IEICE Transactions on Communications. E88-B(3). 1111–1118. 6 indexed citations
10.
Kitawaki, Nobuhiko, et al.. (2005). Comparison of objective speech quality measures for voiceband CODECs. 7. 1000–1003. 5 indexed citations
11.
Kitawaki, Nobuhiko. (2003). Current Status and Future Trend on Perceptual QoS Assessment for Advanced IP-Telephony Services. IEICE technical report. Speech. 103(291). 21–26. 2 indexed citations
12.
Kitawaki, Nobuhiko. (2003). Comparative Assessment of Test Signals Used for Measuring Residual Echo Characteristics. IEICE Transactions on Communications. 86(3). 1102–1108. 2 indexed citations
13.
Kitawaki, Nobuhiko, et al.. (2003). Artificial voice signal for objective quality evaluation of speech coding systems. 32. 373–379. 1 indexed citations
14.
Kitawaki, Nobuhiko. (2002). Perceptual QoS Assessment Methodology for IP Telephony. 102(190). 29–34. 1 indexed citations
15.
Yamada, Takeshi, et al.. (2001). Voice Activity Detection for Sentence Utterances Using Environment Sound Models and HMM and HMM Composition. IPSJ SIG Notes. 2001(123). 25–30. 1 indexed citations
16.
Kitawaki, Nobuhiko, et al.. (1998). Comparison of Two Speech and Audio Coders at 8 kb/s from the Viewpoints of Coding Scheme and Quality. IEICE Transactions on Communications. 80(11). 2007–2011. 1 indexed citations
17.
Kitawaki, Nobuhiko, et al.. (1992). Special Edition Application for Subjective Asessment and Objective Measurement of Picture Quality. 1. Subjective Assessment Method of Picture Quality.. The Journal of the Institute of Television Engineers of Japan. 46(2). 129–133. 1 indexed citations
18.
Kitawaki, Nobuhiko, et al.. (1992). Evaluation of coded speech quality degraded by cell loss in ATM networks. Electronics and Communications in Japan (Part III Fundamental Electronic Science). 75(9). 14–24. 4 indexed citations
19.
Honda, Masaaki, et al.. (1984). Efficient coding of high‐quality sound by an adaptive prediction scheme. Electronics and Communications in Japan (Part I Communications). 67(9). 37–46. 2 indexed citations
20.
Kitawaki, Nobuhiko, et al.. (1981). Speech quality of adaptive delta modulation (ADM) codec with syllabic companding. Electronics and Communications in Japan (Part I Communications). 64(6). 29–38. 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.

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