C.J. Zarowski
- Signal Processing top 10%
- Blind Source Separation Techniques 7
- Digital Filter Design and Implementation 7
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- Matrix Theory and Algorithms 8
- Polynomial and algebraic computation 2
- Applied Mathematics top 10%
- Mathematical Analysis and Transform Methods 3
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- Advanced Adaptive Filtering Techniques 6
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- Image and Signal Denoising Methods 8
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- Advanced Topics in Algebra 3
- Co-authors
- F.W. FairmanEnlong MaFangzhou LiuH.C. CardM. LiuMargreet PolsFraser W. SaundersJennifer Louie
- Journals
- IEEE Transactions on Signal Processing (9 papers)IEEE Transactions on Computers (3 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)
- Partner nations
- CanadaNetherlands
In The Last Decade
C.J. Zarowski
26 papers receiving 216 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 70
- Computational Theory and Mathematics 63
- Computational Mathematics 2
- Applied Mathematics 28
- Computational Mechanics 41
Countries citing papers authored by C.J. Zarowski
This map shows the geographic impact of C.J. Zarowski'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 C.J. Zarowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.J. Zarowski more than expected).
Fields of papers citing papers by C.J. Zarowski
This network shows the impact of papers produced by C.J. Zarowski. 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 C.J. Zarowski. The network helps show where C.J. Zarowski may publish in the future.
Co-authorship network
The 12 scholars most cited alongside C.J. Zarowski, 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 | 2003 | 0 | |
| 3 | 2003 | 1 | |
| 4 | 2002 | 2 | |
| 5 | 2002 | 0 | |
| 6 | 2001 | 12 | |
| 7 | 2001 | 9 | |
| 8 | 2000 | 12 | |
| 9 | 2000 | 28 | |
| 10 | 1999 | 3 | |
| 11 | 1997 | 2 | |
| 12 | 1995 | 12 | |
| 13 | 1992 | 6 | |
| 14 | 1992 | 4 | |
| 15 | 1991 | 11 | |
| 16 | 1991 | 1 | |
| 17 | 1990 | 4 | |
| 18 | 1990 | 2 | |
| 19 | 1989 | 4 | |
| 20 | 1988 | 7 |
About C.J. Zarowski
C.J. Zarowski is a scholar working on Computational Mathematics, Signal Processing, Algebra and Number Theory, Computational Theory and Mathematics and Applied Mathematics, having authored 31 papers that have together received 229 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Matrix Theory and Algorithms (8 papers), Blind Source Separation Techniques (7 papers), Digital Filter Design and Implementation (7 papers), Advanced Adaptive Filtering Techniques (6 papers), Mathematical Analysis and Transform Methods (3 papers), Advanced Topics in Algebra (3 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Signal Processing (70 citations), Computational Theory and Mathematics (63 citations), Computational Mathematics (2 citations), Applied Mathematics (28 citations) and Computational Mechanics (41 citations). C.J. Zarowski has collaborated with scholars based in Canada and Netherlands. Frequent co-authors include F.W. Fairman, Enlong Ma, Fangzhou Liu, H.C. Card, M. Liu, Margreet Pols, Fraser W. Saunders, Jennifer Louie, B. Nowrouzian and Zhili Chen. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Computers, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Information Theory and IEEE Signal Processing Letters.
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.