Andrzej Tarczynski

722 citations
61 papers · 485 · h-index 11

Impact in

    • Digital Filter Design and Implementation
    • Blind Source Separation Techniques
    • Advanced Adaptive Filtering Techniques
    • Sparse and Compressive Sensing Techniques

Papers in

    • Blind Source Separation Techniques 17
    • Digital Filter Design and Implementation 14
    • Sparse and Compressive Sensing Techniques 13
    • Advanced Adaptive Filtering Techniques 11

Andrzej Tarczynski

51 papers receiving 451 citations

Peers

Andrzej Tarczynski
Comparison fields: 5 of 70
  • Signal Processing 251
  • Computational Mechanics 175
  • Computer Vision and Pattern Recognition 110
  • Applied Mathematics 38
  • Computer Networks and Communications 65
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Citations per year

Countries citing papers authored by Andrzej Tarczynski

Since Specialization
Citations

This map shows the geographic impact of Andrzej Tarczynski'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 Andrzej Tarczynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Tarczynski more than expected).

Fields of papers citing papers by Andrzej Tarczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrzej Tarczynski. 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 Andrzej Tarczynski. The network helps show where Andrzej Tarczynski may publish in the future.

Co-authors

The 19 scholars most cited alongside Andrzej Tarczynski, 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 Andrzej Tarczynski Line = papers co-authored together Andrzej Tarczynski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200459
2 200856
3 200246
4 200139
5 200229
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7 200221
8 200219
9
OPTIMAL RANDOM SAMPLING FOR SPECTRUM ESTIMATION IN DASP APPLICATIONS
200514
10 201014
11 200213
12 20058
13 20118
14 19988
15 20117
16 20077
17 20037
18 20216
19 20106
20 20026

About Andrzej Tarczynski

Andrzej Tarczynski is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 61 papers that have together received 485 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (17 papers), Image and Signal Denoising Methods (15 papers), Digital Filter Design and Implementation (14 papers), Sparse and Compressive Sensing Techniques (13 papers), Advanced Adaptive Filtering Techniques (11 papers), Advanced Electrical Measurement Techniques (10 papers), Distributed Sensor Networks and Detection Algorithms (8 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Signal Processing (251 citations), Computational Mechanics (175 citations), Computer Vision and Pattern Recognition (110 citations), Applied Mathematics (38 citations) and Computer Networks and Communications (65 citations). Andrzej Tarczynski has collaborated with scholars based in United Kingdom, Poland and Greece. Frequent co-authors include G.D. Cain, E. Hermanowicz, Bashar I. Ahmad, J.N. Lygouras, Vassilis Kodogiannis, H.S. Chowdrey, Vesa Välimäki, T.I. Laakso, Paul E. Murphy and Timo Laakso. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, Microwave and Optical Technology Letters, Digital Signal Processing and International Journal of Applied Mathematics and Computer Science.

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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