Gerald Matz
- Computer Networks and Communications top 0.5%
- Cooperative Communication and Network Coding 38
- Wireless Communication Networks Research 36
- Error Correcting Code Techniques 27
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- Advanced Wireless Communication Techniques 75
- Advanced MIMO Systems Optimization 36
- Signal Processing top 2%
- Blind Source Separation Techniques 24
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 16
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks 20
Gerald Matz
201 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 1.6k
- Electrical and Electronic Engineering 2.6k
- Signal Processing 374
- Computational Mechanics 339
- Artificial Intelligence 465
Countries citing papers authored by Gerald Matz
This map shows the geographic impact of Gerald Matz'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 Gerald Matz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Matz more than expected).
Fields of papers citing papers by Gerald Matz
This network shows the impact of papers produced by Gerald Matz. 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 Gerald Matz. The network helps show where Gerald Matz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Matz, 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 | 2022 | 6 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 7 | |
| 7 | 2017 | 61 | |
| 8 | Distributed information-theoretic biclustering | 2016 | 3 |
| 9 | Lattice Reduction | 2011 | 84 |
| 10 | Convergent Decomposition Solvers for Tree-reweighted Free Energies | 2011 | 8 |
| 11 | 2011 | 9 | |
| 12 | Performance of transmission-time optimized relaying schemes in real-world channels | 2010 | 4 |
| 13 | An ROV-based sensor system for maritime pollution control | 2009 | 5 |
| 14 | 2008 | 74 | |
| 15 | 2007 | 47 | |
| 16 | Time-varying communication channels: Fundamentals, recent developments, and open problems | 2006 | 21 |
| 17 | 2006 | 27 | |
| 18 | 2005 | 6 | |
| 19 | 2005 | 3 | |
| 20 | FUEL ELEMENTS FOR HIGH TEMPERATURE REACTORS | 1959 | 1 |
About Gerald Matz
Gerald Matz is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 211 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (75 papers), Cooperative Communication and Network Coding (38 papers), Wireless Communication Networks Research (36 papers), Advanced MIMO Systems Optimization (36 papers), Error Correcting Code Techniques (27 papers), Blind Source Separation Techniques (24 papers), Target Tracking and Data Fusion in Sensor Networks (20 papers) and Sparse and Compressive Sensing Techniques (16 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Electrical and Electronic Engineering (2.6k citations) and Signal Processing (374 citations). Gerald Matz has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Franz Hlawatsch, Dominik Seethaler, D. Schafhuber, Joakim Jaldén, Peter Fertl, Dirk Wübben, Andreas F. Molisch, Nicolai Czink, Tomasz Hrycak and Johannes Maurer. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Signal Processing Magazine, IEEE Journal of Selected Topics in Signal Processing and Journal of Chromatography A.
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.