Markus Knauer
Impact in
-
- Optical measurement and interference techniques
- Advanced Vision and Imaging
- Computational Mechanics top 5%
- Surface Roughness and Optical Measurements
Papers in
-
- Optical measurement and interference techniques 10
- Advanced Neural Network Applications 2
- Advanced Vision and Imaging 2
- Multimodal Machine Learning Applications 2
-
- Surface Roughness and Optical Measurements 8
- Co-authors
- Gerd Häusler (10 shared papers)Albert Weckenmann (3 shared papers)H. Kunzmann (1 shared paper)Svenja Ettl (1 shared paper)Karl-Heinz Leitz (2 shared papers)Martin Sundermeyer (2 shared papers)Peter Marwedel (1 shared paper)Lars Wehmeyer (1 shared paper)
In The Last Decade
Markus Knauer
22 papers receiving 846 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 618
- Computational Mechanics 256
- Geology 67
- Media Technology 95
- Mechanical Engineering 380
Countries citing papers authored by Markus Knauer
This map shows the geographic impact of Markus Knauer'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 Knauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Knauer more than expected).
Fields of papers citing papers by Markus Knauer
This network shows the impact of papers produced by Markus Knauer. 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 Knauer. The network helps show where Markus Knauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Knauer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 381 | |
| 2 | 2008 | 104 | |
| 3 | 1998 | 84 | |
| 4 | 2023 | 70 | |
| 5 | 2008 | 57 | |
| 6 | An Accurate and Fine Grain Instruction-Level Energy Model Supporting Software Optimizations | 2001 | 51 |
| 7 | BlenderProc: Reducing the Reality Gap with Photorealistic Rendering | 2020 | 48 |
| 8 | 2001 | 32 | |
| 9 | 2018 | 23 | |
| 10 | 2006 | 16 | |
| 11 | 2006 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2009 | 5 | |
| 14 | 1999 | 5 | |
| 15 | 2000 | 5 | |
| 16 | Microdeflectometry - a novel tool to acquire 3D microtopology with nanometer height resolution | 2007 | 3 |
| 17 | 2009 | 3 | |
| 18 | Measuring the refractive power with deflectometry in transmission | 2008 | 3 |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Markus Knauer
Markus Knauer is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mechanical Engineering, Biomedical Engineering and Artificial Intelligence, having authored 22 papers that have together received 909 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (10 papers), Surface Roughness and Optical Measurements (8 papers), Advanced Measurement and Metrology Techniques (8 papers), Scientific Measurement and Uncertainty Evaluation (3 papers), Advanced Neural Network Applications (2 papers), Advanced Vision and Imaging (2 papers), Multimodal Machine Learning Applications (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (618 citations), Computational Mechanics (256 citations), Geology (67 citations), Media Technology (95 citations) and Mechanical Engineering (380 citations). Markus Knauer has collaborated with scholars based in Germany and Spain. Frequent co-authors include Gerd Häusler, Albert Weckenmann, H. Kunzmann, Svenja Ettl, Karl-Heinz Leitz, Martin Sundermeyer, Peter Marwedel, Lars Wehmeyer, Stefan Steinke and Klaus H. Strobl. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Materials Processing Technology, BioMed Research International, Optics Letters and CIRP Annals.
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.