C.J. Zarowski

407 citations
32 papers · 242 · h-index 10

Impact in

Papers in

C.J. Zarowski

28 papers receiving 225 citations

Peers

C.J. Zarowski
Comparison fields: 5 of 64
  • Signal Processing 73
  • Computational Theory and Mathematics 67
  • Computational Mathematics 2
  • Applied Mathematics 29
  • Computational Mechanics 44
Replace S. Samadi with:
S. Samadi Japan
J. Robert Johnson United States
Asish Mukhopadhyay India
Jesús Gutiérrez-Gutiérrez Spain
H.C. Reddy United States
P. Vilbé France
W. O. Alltop United States
Dean P. Kolba United States
Heinz G. Göckler Germany
G. Mühlbach Germany
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Citations per field
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Citations per year

Countries citing papers authored by C.J. Zarowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with C.J. Zarowski Line = papers co-authored together C.J. Zarowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200449
2 200030
3 198515
4 199114
5 199813
6 200112
7 200012
8 199512
9 200411
10 200210
11 20019
12 19887
13 19936
14 19926
15 19895
16 19924
17 19994
18 19904
19 19973
20 20022

About C.J. Zarowski

C.J. Zarowski is a scholar working on Signal Processing, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 32 papers that have together received 242 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (8 papers), Image and Signal Denoising Methods (8 papers), Blind Source Separation Techniques (7 papers), Digital Filter Design and Implementation (7 papers), Advanced Adaptive Filtering Techniques (6 papers), Coding theory and cryptography (3 papers), Mathematical Analysis and Transform Methods (3 papers) and Advanced Topics in Algebra (3 papers). The work is most often cited by research in Signal Processing (73 citations), Computational Theory and Mathematics (67 citations), Computational Mathematics (2 citations), Applied Mathematics (29 citations) and Computational Mechanics (44 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, R.D. McLeod, Jennifer Louie and B. Nowrouzian. 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.

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