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
-
- Neural Networks and Applications 32
- Machine Learning and Algorithms 7
-
- Face and Expression Recognition 17
- Co-authors
- Шун-ичи Амари (14 shared papers)Shiro Ikeda (3 shared papers)S. Yoshizawa (1 shared paper)Andreas Ziehe (4 shared papers)Michael Finke (3 shared papers)Hideitsu Hino (37 shared papers)K. Müller (2 shared papers)Hongying Yang (1 shared paper)
- 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-authors
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
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 471 | |
| 2 | 2001 | 362 | |
| 3 | 1997 | 255 | |
| 4 | 2004 | 112 | |
| 5 | 1993 | 99 | |
| 6 | 1999 | 97 | |
| 7 | 2003 | 84 | |
| 8 | An on-line algorithm for blind source separation on speech signals | 1998 | 75 |
| 9 | 2013 | 57 | |
| 10 | 2016 | 53 | |
| 11 | Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? | 1995 | 50 |
| 12 | 2014 | 43 | |
| 13 | Adaptive On-line Learning in Changing Environments | 1996 | 43 |
| 14 | 2003 | 42 | |
| 15 | 2002 | 41 | |
| 16 | 1996 | 41 | |
| 17 | 2002 | 39 | |
| 18 | 1999 | 34 | |
| 19 | 2007 | 34 | |
| 20 | 2020 | 32 |
About Noboru Murata
Noboru Murata is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistics and Probability and Surgery, 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), Image Processing Techniques and Applications (7 papers), Machine Learning and Algorithms (7 papers) and Fault Detection and Control Systems (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, Shinto Eguchi 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.