Markus Lang
- Signal Processing top 1%
- Digital Filter Design and Implementation 25
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- Image and Signal Denoising Methods 27
- Advanced Data Compression Techniques 7
- Advanced Image Processing Techniques 5
- Media Technology top 1%
- Advanced Image Fusion Techniques 8
- Computational Mechanics top 2%
- Advanced Adaptive Filtering Techniques 20
- Sparse and Compressive Sensing Techniques 5
- Metals and Alloys top 10%
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- Fatigue and fracture mechanics 6
- Co-authors
- C.S. BurrusJan E. OdegardRaymond O. WellsIvan SelesnickGuo Hong-xiaHaitao GuoT.I. LaaksoR. Gopinath
- Journals
- IEEE Transactions on Signal Processing (5 papers)Fatigue & Fracture of Engineering Materials & Structures (3 papers)Signal Processing (3 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Markus Lang
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Signal Processing 549
- Computer Vision and Pattern Recognition 782
- Media Technology 301
- Computational Mechanics 428
- Metals and Alloys 21
Countries citing papers authored by Markus Lang
This map shows the geographic impact of Markus Lang'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 Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Lang more than expected).
Fields of papers citing papers by Markus Lang
This network shows the impact of papers produced by Markus Lang. 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 Lang. The network helps show where Markus Lang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Lang, 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 | 2016 | 3 | |
| 2 | 2016 | 0 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 11 | |
| 5 | 2015 | 1 | |
| 6 | 2013 | 20 | |
| 7 | 2012 | 4 | |
| 8 | Speckle Reduction via Wavelet Shrinkage with Application to SAR based ATD/R | 2009 | 11 |
| 9 | 2006 | 42 | |
| 10 | 2003 | 5 | |
| 11 | 2002 | 12 | |
| 12 | 2001 | 15 | |
| 13 | 2001 | 8 | |
| 14 | 1999 | 38 | |
| 15 | FELLINI-A CAD Tool for the Design of Microsystems | 1998 | 1 |
| 16 | 1998 | 22 | |
| 17 | 1997 | 2 | |
| 18 | On the constrained least-square design of two-dimensional FIR filters | 1996 | 1 |
| 19 | 1996 | 27 | |
| 20 | 1995 | 34 |
About Markus Lang
Markus Lang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology and Human-Computer Interaction, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (27 papers), Digital Filter Design and Implementation (25 papers), Advanced Adaptive Filtering Techniques (20 papers), Advanced Image Fusion Techniques (8 papers), Advanced Data Compression Techniques (7 papers), Fatigue and fracture mechanics (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Signal Processing (549 citations), Computer Vision and Pattern Recognition (782 citations), Media Technology (301 citations), Computational Mechanics (428 citations) and Metals and Alloys (21 citations). Markus Lang has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include C.S. Burrus, Jan E. Odegard, Raymond O. Wells, Ivan Selesnick, Guo Hong-xia, Haitao Guo, T.I. Laakso, R. Gopinath, Joachim Bamberger and Klaus Sarimski. Their work appears in journals such as IEEE Transactions on Signal Processing, Fatigue & Fracture of Engineering Materials & Structures, Signal Processing, IEEE Transactions on Image Processing and IEEE Signal Processing Letters.
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.