Noboru Murata
Impact in
- Signal Processing top 0.5%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Machine Learning and Algorithms
Papers in
-
- Blind Source Separation Techniques 19
- Speech and Audio Processing 6
-
- Advanced Statistical Methods and Models 12
- Co-authors
- Шун-ичи АмариShiro IkedaS. YoshizawaAndreas ZieheMichael FinkeHideitsu HinoK. MüllerHongying Yang
- Journals
- Neural Computation (13 papers)Neural Networks (7 papers)Neurocomputing (4 papers)Computational Statistics & Data Analysis (2 papers)ISIJ International (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Noboru Murata
121 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 177
- Signal Processing 863
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 405
- Statistics and Probability 163
- Computational Mechanics 396
Countries citing papers authored by Noboru Murata
This map shows the geographic impact of Noboru Murata'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 Noboru Murata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Murata more than expected).
Fields of papers citing papers by Noboru Murata
This network shows the impact of papers produced by Noboru Murata. 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 Noboru Murata. The network helps show where Noboru Murata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noboru Murata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2013 | 9 | |
| 7 | Predicting sleep stages based on time-dependent hidden Markov model | 2006 | 2 |
| 8 | 2003 | 2 | |
| 9 | 2003 | 84 | |
| 10 | 2001 | 8 | |
| 11 | Independent Component Analysis Algorithm for Online Blind Source Separation and Blind Equalization Systems | 2000 | 1 |
| 12 | Optimization on Support Vector Machines. | 2000 | 2 |
| 13 | Population Decoding Based on an Unfaithful Model | 1999 | 10 |
| 14 | A Method of Blind Separation Based on Temporal Structure of Signals. | 1998 | 21 |
| 15 | Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? | 1995 | 50 |
| 16 | 1995 | 2 | |
| 17 | 1995 | 9 | |
| 18 | 1994 | 6 | |
| 19 | Learning Curves, Model Selection and Complexity of Neural Networks | 1992 | 28 |
| 20 | [An adult case of anomalous origin of the left coronary artery from the pulmonary artery with the coronary artery-bronchial artery anastomosis]. | 1992 | 2 |
About Noboru Murata
Noboru Murata is a scholar working on Signal Processing, Statistics and Probability, Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (32 papers), Blind Source Separation Techniques (19 papers), Face and Expression Recognition (17 papers), Advanced Statistical Methods and Models (12 papers), Spectroscopy and Chemometric Analyses (8 papers), Machine Learning and Algorithms (7 papers), Image Processing Techniques and Applications (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (863 citations), Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (405 citations), Statistics and Probability (163 citations) and Computational Mechanics (396 citations). Noboru Murata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Шун-ичи Амари, Shiro Ikeda, S. Yoshizawa, Andreas Ziehe, Michael Finke, Hideitsu Hino, K. Müller, Hongying Yang, Takashi Takenouchi and Takafumi Kanamori. Their work appears in journals such as Neural Computation, Neural Networks, Neurocomputing, Computational Statistics & Data Analysis and ISIJ International.
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.