Florian Roemer
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Signal Processing top 0.5%
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Blind Source Separation Techniques
Papers in
-
- Direction-of-Arrival Estimation Techniques 43
- Blind Source Separation Techniques 26
- Speech and Audio Processing 20
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- Advanced Adaptive Filtering Techniques 22
- Sparse and Compressive Sensing Techniques 15
- Co-authors
- Martin Haardt (72 shared papers)Giovanni Del Galdo (21 shared papers)Jens Steinwandt (16 shared papers)João Paulo C. L. da Costa (12 shared papers)Arash Khabbazibasmenj (3 shared papers)Sergiy A. Vorobyov (3 shared papers)Rafael T. de Sousa (2 shared papers)Jianshu Zhang (3 shared papers)
In The Last Decade
Florian Roemer
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 56
- Computational Mathematics 336
- Signal Processing 884
- Computer Networks and Communications 490
- Computational Mechanics 395
- Aerospace Engineering 328
Countries citing papers authored by Florian Roemer
This map shows the geographic impact of Florian Roemer'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 Florian Roemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Roemer more than expected).
Fields of papers citing papers by Florian Roemer
This network shows the impact of papers produced by Florian Roemer. 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 Florian Roemer. The network helps show where Florian Roemer may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Roemer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 277 | |
| 2 | 2010 | 112 | |
| 3 | 2014 | 80 | |
| 4 | 2014 | 65 | |
| 5 | 2009 | 64 | |
| 6 | 2012 | 60 | |
| 7 | 2011 | 59 | |
| 8 | 2013 | 50 | |
| 9 | 2009 | 41 | |
| 10 | 2014 | 41 | |
| 11 | 2017 | 41 | |
| 12 | 2016 | 38 | |
| 13 | 2017 | 36 | |
| 14 | 2015 | 27 | |
| 15 | 2008 | 26 | |
| 16 | 2010 | 23 | |
| 17 | 2006 | 23 | |
| 18 | 2012 | 22 | |
| 19 | 2010 | 22 | |
| 20 | 2012 | 22 |
About Florian Roemer
Florian Roemer is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mathematics, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (43 papers), Blind Source Separation Techniques (26 papers), Advanced Adaptive Filtering Techniques (22 papers), Cooperative Communication and Network Coding (21 papers), Speech and Audio Processing (20 papers), Advanced MIMO Systems Optimization (19 papers), Tensor decomposition and applications (19 papers) and Sparse and Compressive Sensing Techniques (15 papers). The work is most often cited by research in Computational Mathematics (336 citations), Signal Processing (884 citations), Computer Networks and Communications (490 citations), Computational Mechanics (395 citations) and Aerospace Engineering (328 citations). Florian Roemer has collaborated with scholars based in Germany, Brazil and China. Frequent co-authors include Martin Haardt, Giovanni Del Galdo, Jens Steinwandt, João Paulo C. L. da Costa, Arash Khabbazibasmenj, Sergiy A. Vorobyov, Rafael T. de Sousa, Jianshu Zhang, Martin Weis and Mohamed Salah Ibrahim. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Signal Processing, IEEE Transactions on Vehicular Technology and Digital Signal Processing.
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.