N. Dixon
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
Papers in
-
- Speech Recognition and Synthesis 20
- Speech and dialogue systems 7
- Neural Networks and Applications 3
-
- Speech and Audio Processing 15
- Music and Audio Processing 5
- Time Series Analysis and Forecasting 3
- Co-authors
- H.F. Silverman (16 shared papers)Charles C. Tappert (5 shared papers)T. Kaneko (1 shared paper)Thomas Martin (2 shared papers)J. C. Yu (1 shared paper)F. Jelinek (1 shared paper)R. L. Mercer (1 shared paper)L.R. Bahl (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (2 papers)Artificial Intelligence (1 paper)AIAA Journal (1 paper)IEEE Transactions on Acoustics Speech and Signal Processing (7 papers)IEEE Transactions on Audio and Electroacoustics (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
N. Dixon
25 papers receiving 238 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 199
- Artificial Intelligence 249
- Experimental and Cognitive Psychology 78
- Computer Vision and Pattern Recognition 30
- Computational Mechanics 14
Countries citing papers authored by N. Dixon
This map shows the geographic impact of N. Dixon'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 N. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Dixon more than expected).
Fields of papers citing papers by N. Dixon
This network shows the impact of papers produced by N. Dixon. 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 N. Dixon. The network helps show where N. Dixon may publish in the future.
Co-authors
The 13 scholars most cited alongside N. Dixon, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 44 | |
| 2 | 1976 | 34 | |
| 3 | 1974 | 34 | |
| 4 | 1976 | 23 | |
| 5 | 1983 | 21 | |
| 6 | 1977 | 20 | |
| 7 | Automatic Speech and Speaker Recognition | 1979 | 17 |
| 8 | 1975 | 14 | |
| 9 | 1973 | 12 | |
| 10 | 2005 | 11 | |
| 11 | 1975 | 9 | |
| 12 | 1970 | 7 | |
| 13 | 2005 | 5 | |
| 14 | 2005 | 5 | |
| 15 | 2005 | 4 | |
| 16 | 2005 | 3 | |
| 17 | 1974 | 3 | |
| 18 | 1971 | 3 | |
| 19 | 2005 | 3 | |
| 20 | 1980 | 3 |
About N. Dixon
N. Dixon is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 283 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (15 papers), Speech and dialogue systems (7 papers), Phonetics and Phonology Research (6 papers), Music and Audio Processing (5 papers), Neural Networks and Applications (3 papers), Time Series Analysis and Forecasting (3 papers) and Aerodynamics and Acoustics in Jet Flows (2 papers). The work is most often cited by research in Signal Processing (199 citations), Artificial Intelligence (249 citations), Experimental and Cognitive Psychology (78 citations), Computer Vision and Pattern Recognition (30 citations) and Computational Mechanics (14 citations). N. Dixon has collaborated with scholars based in United States and Japan. Frequent co-authors include H.F. Silverman, Charles C. Tappert, T. Kaneko, Thomas Martin, J. C. Yu, F. Jelinek, R. L. Mercer, L.R. Bahl, Jyh‐Cheng Yu and Paul S. Cohen. Their work appears in journals such as The Journal of the Acoustical Society of America, Artificial Intelligence, AIAA Journal, IEEE Transactions on Acoustics Speech and Signal Processing and IEEE Transactions on Audio and Electroacoustics.
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.