Tadashi Kitamura

4.3k total citations · 1 hit paper
219 papers, 2.8k citations indexed

About

Tadashi Kitamura is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Tadashi Kitamura has authored 219 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Surgery, 62 papers in Cardiology and Cardiovascular Medicine and 58 papers in Artificial Intelligence. Recurrent topics in Tadashi Kitamura's work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (47 papers) and Aortic Disease and Treatment Approaches (35 papers). Tadashi Kitamura is often cited by papers focused on Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (47 papers) and Aortic Disease and Treatment Approaches (35 papers). Tadashi Kitamura collaborates with scholars based in Japan, United States and Australia. Tadashi Kitamura's co-authors include Keiichi Tokuda, Takao Kobayashi, Takashi Masuko, Takayoshi Yoshimura, Heiga Zen, Kagami Miyaji, Chiyomi Miyajima, Tetsuya Horai, Norihiko Oka and Keiichi Itatani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Tadashi Kitamura

193 papers receiving 2.5k citations

Hit Papers

Speech parameter generation algorithms for HMM-based spee... 2002 2026 2010 2018 2002 200 400 600

Peers

Tadashi Kitamura
P. Carvalho Portugal
Joel E.W. Koh Singapore
J. Henriques Portugal
Celia Shahnaz Bangladesh
Tadashi Kitamura
Citations per year, relative to Tadashi Kitamura Tadashi Kitamura (= 1×) peers Rui Pedro Paiva

Countries citing papers authored by Tadashi Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Kitamura. A scholar is included among the top collaborators of Tadashi 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 Tadashi Kitamura. Tadashi 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
1.
Shikata, Fumiaki, et al.. (2024). Fast-track extubation guided by pulmonary artery pressure monitoring after ventricular septal defect closure in infants with pulmonary hypertension. Progress in Pediatric Cardiology. 72. 101710–101710. 1 indexed citations
2.
Kitamura, Tadashi, et al.. (2023). Samurai Cannulation for Acute Stanford Type A Aortic Dissection. Operative Techniques in Thoracic and Cardiovascular Surgery. 28(4). 240–248. 2 indexed citations
3.
Hamazaki, Nobuaki, Kentaro Kamiya, Kohei Nozaki, et al.. (2023). Trends and Outcomes of Early Rehabilitation in the Intensive Care Unit for Patients With Cardiovascular Disease: A Cohort Study With Propensity Score-Matched Analysis. Heart Lung and Circulation. 32(10). 1240–1249. 3 indexed citations
4.
Yamashita, Masashi, Kentaro Kamiya, Tadashi Kitamura, et al.. (2023). The trajectory of abdominal skeletal muscle changes during cardiac rehabilitation in patients with aortic disease. American Journal of Physical Medicine & Rehabilitation. 103(2). 158–165. 1 indexed citations
5.
Yamashita, Masashi, Kentaro Kamiya, Atsuhiko Matsunaga, et al.. (2021). Low skeletal muscle density combined with muscle dysfunction predicts adverse events after adult cardiovascular surgery. Nutrition Metabolism and Cardiovascular Diseases. 31(6). 1782–1790. 10 indexed citations
6.
Yamashita, Masashi, Kentaro Kamiya, Atsuhiko Matsunaga, et al.. (2019). Preoperative skeletal muscle density is associated with postoperative mortality in patients with cardiovascular disease. Interactive Cardiovascular and Thoracic Surgery. 30(4). 515–522. 12 indexed citations
7.
Kitamura, Tadashi, et al.. (2018). Papillary fibroelastoma of the left ventricular apex excised using a videoscopic technique. Journal of Cardiac Surgery. 33(5). 277–279. 2 indexed citations
8.
Kitamura, Tadashi, James Edwards, & Kagami Miyaji. (2017). Continuous Suture Technique for Aortic Valve Replacement Shortens Cross-Clamp and Bypass Times. Texas Heart Institute Journal. 44(6). 390–394. 7 indexed citations
9.
Sako, Shinji, et al.. (2011). Improvement of HMM-based Sign Language Recognition using Phonemic Structure of Japanese Sign Language. IEICE technical report. Speech. 111(58). 41–46. 1 indexed citations
10.
Sako, Shinji, et al.. (2008). A trainable singing voice synthesis system capable of representing personal characteristics and singing styles. IPSJ SIG Notes. 2008(12). 39–44. 1 indexed citations
11.
Zen, Heiga, et al.. (2005). Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies). IEICE Transactions on Information and Systems. 88(3). 425–431. 1 indexed citations
12.
Nankaku, Yoshihiko, et al.. (2005). Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies). IEICE Transactions on Information and Systems. 88(3). 418–424. 1 indexed citations
13.
Zen, Heiga, Keiichi Tokuda, & Tadashi Kitamura. (2004). An introduction of trajectory model into HMM-based speech synthesis.. SSW. 191–196. 36 indexed citations
14.
Takahashi, Tôru, Keiichi Tokuda, Takao Kobayashi, & Tadashi Kitamura. (2003). Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(8). 1971–1978. 3 indexed citations
15.
Sako, Shinji, Chiyomi Miyajima, Keiichi Tokuda, & Tadashi Kitamura. (2003). A Singing Voice Synthesis System Based on Hidden Markov Model. IPSJ SIG Notes. 2003(82). 77–82. 2 indexed citations
16.
Tokuyasu, Tatsushi, et al.. (2002). Development of A Training System for Cardiac Muscle Palpation Based on Cardiac Muscle Elastic Properties. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2002(0). 63–63. 1 indexed citations
17.
Tokuda, Keiichi, et al.. (2001). Investigation of State Duration Model based on Gamma distribution for HMM-based Speech Synthesis. 101(353). 57–62. 10 indexed citations
18.
Miyajima, Chiyomi, et al.. (2001). Text-Independent Speaker Identification Using Gaussian Mixture Models Based on Multi-Space Probability Distribution. IEICE Transactions on Information and Systems. 84(7). 847–855. 17 indexed citations
19.
Kitamura, Tadashi, et al.. (2000). Restoration of Environmental Noise Corrupted Speech Using Wavelet Transform. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2000(0). 141–146.
20.
Kitamura, Tadashi, et al.. (1995). Parameter Estimation of Short Duration Data Using Fast Adaptive Algorithm. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 1995(0). 7–12.

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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