Markus Püschel
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Signal Processing top 0.5%
- Digital Filter Design and Implementation
Papers in
-
- Parallel Computing and Optimization Techniques 56
- Embedded Systems Design Techniques 29
-
- Digital Filter Design and Implementation 52
- Co-authors
- Yevgen VoronenkoJosé M. F. MouraFranz FranchettiJoão F. C. MotaJoão XavierPedro M. Q. AguiarMartin VechevGagandeep Singh
- Journals
- IEEE Transactions on Signal Processing (18 papers)ACM SIGPLAN Notices (6 papers)Proceedings of the ACM on Programming Languages (3 papers)Proceedings of the IEEE (3 papers)Optics Express (2 papers)
- Partner nations
- United StatesSwitzerlandAustria
In The Last Decade
Markus Püschel
161 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Hardware and Architecture 1.5k
- Signal Processing 1.1k
- Computational Mathematics 40
- Computational Theory and Mathematics 1.1k
- Software 192
Countries citing papers authored by Markus Püschel
This map shows the geographic impact of Markus Püschel'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 Markus Püschel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Püschel more than expected).
Fields of papers citing papers by Markus Püschel
This network shows the impact of papers produced by Markus Püschel. 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 Markus Püschel. The network helps show where Markus Püschel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Püschel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Beyond the Single Neuron Convex Barrier for Neural Network Certification | 2019 | 36 |
| 3 | Compressive Sensing with Low Precision Data Representation: Theory and Applications | 2018 | 1 |
| 4 | Fast and Effective Robustness Certification | 2018 | 97 |
| 5 | 2018 | 1 | |
| 6 | ε-PAL: an active learning approach to the multi-objective optimization problem | 2016 | 26 |
| 7 | 2016 | 4 | |
| 8 | 2015 | 9 | |
| 9 | 2012 | 99 | |
| 10 | 2011 | 13 | |
| 11 | 2010 | 10 | |
| 12 | 2010 | 5 | |
| 13 | 21.4 GS/s real-time DSP-based optical OFDM signal generation and transmission over 1600 km of uncompensated fibre | 2009 | 9 |
| 14 | 2009 | 17 | |
| 15 | 2009 | 63 | |
| 16 | 2007 | 1 | |
| 17 | 2004 | 5 | |
| 18 | 2003 | 12 | |
| 19 | 2002 | 13 | |
| 20 | 1997 | 4 |
About Markus Püschel
Markus Püschel is a scholar working on Hardware and Architecture, Signal Processing, Computational Theory and Mathematics, Applied Mathematics and Computational Mathematics, having authored 170 papers that have together received 4.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (56 papers), Digital Filter Design and Implementation (52 papers), Numerical Methods and Algorithms (50 papers), Embedded Systems Design Techniques (29 papers), Mathematical Analysis and Transform Methods (18 papers), Image and Signal Denoising Methods (15 papers), Sparse and Compressive Sensing Techniques (12 papers) and Logic, programming, and type systems (11 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Signal Processing (1.1k citations), Computational Mathematics (40 citations), Computational Theory and Mathematics (1.1k citations) and Software (192 citations). Markus Püschel has collaborated with scholars based in United States, Switzerland and Austria. Frequent co-authors include Yevgen Voronenko, José M. F. Moura, Franz Franchetti, João F. C. Mota, João Xavier, Pedro M. Q. Aguiar, Martin Vechev, Gagandeep Singh, Peter Milder and James C. Hoe. Their work appears in journals such as IEEE Transactions on Signal Processing, ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Proceedings of the IEEE and Optics Express.
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.