Peter Strobach

1.5k citations
61 papers · 1.2k · h-index 19

Impact in

Papers in

    • Advanced Adaptive Filtering Techniques 34
    • Sparse and Compressive Sensing Techniques 4
    • Direction-of-Arrival Estimation Techniques 7
    • Digital Filter Design and Implementation 4

Peter Strobach

57 papers receiving 1.1k citations

Peers

Peter Strobach
Comparison fields: 5 of 72
  • Signal Processing 339
  • Computational Mathematics 15
  • Computational Mechanics 339
  • Computational Theory and Mathematics 171
  • Applied Mathematics 136
Replace Ian K. Proudler with:
Ian K. Proudler United Kingdom
Bogdan Dumitrescu Romania
Richard J. Vaccaro United States
H. Lev-Ari United States
Parikshit Shah United States
Badri Narayan Bhaskar United States
Jean–Jacques Fuchs France
Clive Cheong Took United Kingdom
J.F. Böhme Germany
Peter Strobach relative to Ian K. Proudler United Kingdom Ian K. Proudler's profile →
Citations per field
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Ian K. Proudler · 1×
Citations per year

Countries citing papers authored by Peter Strobach

Since Specialization
Citations

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

Fields of papers citing papers by Peter Strobach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Peter Strobach, 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 Peter Strobach Line = papers co-authored together Peter Strobach 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 1996161
2 199094
3 199091
4 199086
5 199183
6 199783
7 199462
8 200136
9 199129
10 199827
11 200026
12 201126
13 201025
14 199523
15 200023
16 198621
17 199721
18 200021
19 198820
20 200917

About Peter Strobach

Peter Strobach is a scholar working on Computational Mechanics, Signal Processing, Computational Theory and Mathematics, Applied Mathematics and Control and Systems Engineering, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (34 papers), Matrix Theory and Algorithms (14 papers), Statistical and numerical algorithms (14 papers), Direction-of-Arrival Estimation Techniques (7 papers), Control Systems and Identification (5 papers), Polynomial and algebraic computation (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Digital Filter Design and Implementation (4 papers). The work is most often cited by research in Signal Processing (339 citations), Computational Mathematics (15 citations), Computational Mechanics (339 citations), Computational Theory and Mathematics (171 citations) and Applied Mathematics (136 citations). Peter Strobach has collaborated with scholars based in Germany. Frequent co-authors include Wolfgang Härer, K. Abraham‐Fuchs, U. Appel, Rainer Graumann and Arnulf Oppelt. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, Journal of Computational and Applied Mathematics, Numerische Mathematik and IEEE Signal Processing Magazine.

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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