R.V. Cox
- Signal Processing top 0.5%
- Speech and Audio Processing 34
- Digital Filter Design and Implementation 25
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- Advanced Data Compression Techniques 61
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 24
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- Wireless Communication Networks Research 10
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 13
- Algorithms and Data Compression 9
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- Advanced Wireless Communication Techniques 17
- Co-authors
- D. MalahN. SeshadriR. CrochiereN. JayantC.-E.W. SundbergP. KroonHong Kook KimJames D. Johnston
- Journals
- IEEE Communications Magazine (4 papers)IEEE Journal on Selected Areas in Communications (3 papers)IEEE Transactions on Speech and Audio Processing (3 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
R.V. Cox
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Signal Processing 918
- Computer Vision and Pattern Recognition 793
- Computational Mechanics 342
- Computer Networks and Communications 336
- Artificial Intelligence 439
Countries citing papers authored by R.V. Cox
This map shows the geographic impact of R.V. Cox'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 R.V. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.V. Cox more than expected).
Fields of papers citing papers by R.V. Cox
This network shows the impact of papers produced by R.V. Cox. 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 R.V. Cox. The network helps show where R.V. Cox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R.V. Cox, 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 | 2005 | 2 | |
| 2 | 2005 | 1 | |
| 3 | 2005 | 0 | |
| 4 | 2003 | 5 | |
| 5 | 2003 | 14 | |
| 6 | 2002 | 1 | |
| 7 | 2002 | 9 | |
| 8 | 2001 | 38 | |
| 9 | 1999 | 2 | |
| 10 | 1999 | 31 | |
| 11 | 1999 | 3 | |
| 12 | 1998 | 29 | |
| 13 | 1997 | 47 | |
| 14 | 1991 | 79 | |
| 15 | 1988 | 30 | |
| 16 | 1987 | 20 | |
| 17 | 1986 | 102 | |
| 18 | 1982 | 4 | |
| 19 | 1982 | 45 | |
| 20 | 1981 | 33 |
About R.V. Cox
R.V. Cox is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Computer Networks and Communications, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (61 papers), Speech and Audio Processing (34 papers), Digital Filter Design and Implementation (25 papers), Advanced Adaptive Filtering Techniques (24 papers), Advanced Wireless Communication Techniques (17 papers), Speech Recognition and Synthesis (13 papers), Wireless Communication Networks Research (10 papers) and Algorithms and Data Compression (9 papers). The work is most often cited by research in Signal Processing (918 citations), Computer Vision and Pattern Recognition (793 citations), Computational Mechanics (342 citations), Computer Networks and Communications (336 citations) and Artificial Intelligence (439 citations). R.V. Cox has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include D. Malah, N. Seshadri, R. Crochiere, N. Jayant, C.-E.W. Sundberg, P. Kroon, Hong Kook Kim, James D. Johnston, J. Hagenauer and Ki-Seung Lee. Their work appears in journals such as IEEE Communications Magazine, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Speech and Audio Processing, Speech Communication and Proceedings of the IEEE.
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.