Patrick Kuppinger

1.6k citations
8 papers · 1.2k · 1 hit paper · h-index 4

Impact in

Papers in

Journals
IEEE Transactions on Information Theory (2 papers)IEEE Transactions on Signal Processing (1 paper)Wilmott (1 paper)IEEE International Symposium on Information Theory (ISIT) (2 papers)IEEE Information Theory Workshop (ITW) (1 paper)
Partner nations
SwitzerlandSwedenIsrael

In The Last Decade

Patrick Kuppinger

8 papers receiving 1.2k citations

Patrick Kuppinger's Hit Papers

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery 2010 · 1.1k citations
1.1k0+5+10Years since publication2505007501k

Peers

Patrick Kuppinger
Comparison fields: 5 of 47
  • Computational Mechanics 784
  • Signal Processing 84
  • Aerospace Engineering 141
  • Computer Vision and Pattern Recognition 87
  • Computational Mathematics 2
Replace Mehrdad Yaghoobi with:
Mehrdad Yaghoobi United Kingdom
Rayan Saab United States
Karin Schnass Austria
Ashkan Panahi Sweden
Stephen M. Kogon United States
G. Jacovitti Italy
Dominique Pastor France
Jason T. Parker United States
Badri Narayan Bhaskar United States
Aleksandar Dogandzic United States
Patrick Kuppinger relative to Mehrdad Yaghoobi United Kingdom Mehrdad Yaghoobi's profile →
Citations per field
00.5×1.5×2.2×
Mehrdad Yaghoobi · 1×
Citations per year

Countries citing papers authored by Patrick Kuppinger

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Kuppinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Patrick Kuppinger, 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 Patrick Kuppinger Line = papers co-authored together Patrick Kuppinger links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
Hit paper breakdown →
20101052
2 2011129
3 201130
4 20115
5 20102
6 20071
7 20091
8 20141

About Patrick Kuppinger

Patrick Kuppinger is a scholar working on Computational Mechanics, Finance, Computer Networks and Communications, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Cooperative Communication and Network Coding (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Computational Mechanics (784 citations), Signal Processing (84 citations), Aerospace Engineering (141 citations), Computer Vision and Pattern Recognition (87 citations) and Computational Mathematics (2 citations). Patrick Kuppinger has collaborated with scholars based in Switzerland, Sweden and Israel. Frequent co-authors include Helmut Bölcskei, Yonina C. Eldar, Christoph Studer and Giuseppe Durisi. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Wilmott, IEEE International Symposium on Information Theory (ISIT) and IEEE Information Theory Workshop (ITW).

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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