D.J. Shpak

457 citations
44 papers · 321 · h-index 11

Impact in

    • Digital Filter Design and Implementation
    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Advanced Adaptive Filtering Techniques

Papers in

D.J. Shpak

39 papers receiving 295 citations

Peers

D.J. Shpak
Comparison fields: 5 of 45
  • Signal Processing 163
  • Computational Mechanics 124
  • Aerospace Engineering 88
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 59
Replace J.-H. Lee with:
J.-H. Lee Taiwan
Fu‐Kun Chen Taiwan
Heinz G. Göckler Germany
Jehad Ababneh Jordan
S. Attallah Singapore
Tim Hentschel Germany
Dharmendra K. Upadhyay India
Ali Koochakzadeh United States
D.J. Shpak relative to J.-H. Lee Taiwan J.-H. Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by D.J. Shpak

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Shpak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Shpak. 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 D.J. Shpak. The network helps show where D.J. Shpak may publish in the future.

Co-authors

The 9 scholars most cited alongside D.J. Shpak, 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 D.J. Shpak Line = papers co-authored together D.J. Shpak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199644
2 201240
3 199039
4 201429
5 201425
6 200214
7 201313
8 201313
9 200211
10 201210
11 199210
12 20109
13
Analytical Design of Biquadratic Filter Sections for Parametric Filters
19928
14 20046
15 20086
16 20025
17 20055
18 20034
19 20193
20 20063

About D.J. Shpak

D.J. Shpak is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 44 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (23 papers), Digital Filter Design and Implementation (18 papers), Image and Signal Denoising Methods (11 papers), Power Line Communications and Noise (10 papers), Blind Source Separation Techniques (7 papers), Speech and Audio Processing (6 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Acoustic Wave Phenomena Research (4 papers). The work is most often cited by research in Signal Processing (163 citations), Computational Mechanics (124 citations), Aerospace Engineering (88 citations), Computational Mathematics (2 citations) and Computer Vision and Pattern Recognition (59 citations). D.J. Shpak has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include A. Antoniou, Jitender Singh, Alecksey Anuchin, F. El-Guibaly, Yuriy Vagapov, P. Agathoklis, Ahmad Almulhem, S. Subramanian and S. Sunder. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Antennas and Propagation, The Journal of Engineering and The Journal of the Acoustical Society of America.

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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