M. Ross
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
Papers in
-
- Speech and Audio Processing 3
- Music and Audio Processing 2
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- Wireless Communication Networks Research 2
- Nonlinear Dynamics and Pattern Formation 1
- Co-authors
- H. Shaffer (2 shared papers)Aaron E. Cohen (2 shared papers)Harold J. Manley (1 shared paper)David Pritchard (1 shared paper)
- Journals
- IEEE Transactions on Communications (1 paper)The Journal of the Acoustical Society of America (1 paper)IEEE Transactions on Consumer Electronics (1 paper)Proceedings of the IEEE (1 paper)IEEE Transactions on Acoustics Speech and Signal Processing (1 paper)
- Partner nations
- United States
In The Last Decade
M. Ross
8 papers receiving 358 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 280
- Computer Vision and Pattern Recognition 114
- Artificial Intelligence 148
- Computational Mechanics 75
- Experimental and Cognitive Psychology 30
Countries citing papers authored by M. Ross
This map shows the geographic impact of M. Ross'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 M. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ross more than expected).
Fields of papers citing papers by M. Ross
This network shows the impact of papers produced by M. Ross. 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 M. Ross. The network helps show where M. Ross may publish in the future.
Co-authors
The 4 scholars most cited alongside M. Ross, 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 | 1974 | 355 | |
| 2 | 1977 | 30 | |
| 3 | 1982 | 14 | |
| 4 | An architecture for a flexible integrated voice/data switch | 1980 | 9 |
| 5 | 1973 | 2 | |
| 6 | 1970 | 1 | |
| 7 | 1981 | 1 | |
| 8 | 1977 | 1 |
About M. Ross
M. Ross is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Wireless Communication Networks Research (2 papers), Music and Audio Processing (2 papers), Power Systems and Technologies (2 papers), Speech Recognition and Synthesis (2 papers), Music Technology and Sound Studies (1 paper), IPv6, Mobility, Handover, Networks, Security (1 paper) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Signal Processing (280 citations), Computer Vision and Pattern Recognition (114 citations), Artificial Intelligence (148 citations), Computational Mechanics (75 citations) and Experimental and Cognitive Psychology (30 citations). M. Ross has collaborated with scholars based in United States. Frequent co-authors include H. Shaffer, Aaron E. Cohen, Harold J. Manley and David Pritchard. Their work appears in journals such as IEEE Transactions on Communications, The Journal of the Acoustical Society of America, IEEE Transactions on Consumer Electronics, Proceedings of the IEEE and IEEE Transactions on Acoustics Speech and Signal Processing.
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.