Max Grosse
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Optical measurement and interference techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
- Advanced Optical Imaging Technologies
Papers in
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- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 3
- Face recognition and analysis 1
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- Image Processing Techniques and Applications 5
- Advanced Optical Imaging Technologies 1
- Co-authors
- Alexander Sorkine‐Hornung (1 shared paper)Oliver Wang (1 shared paper)Henning Zimmer (1 shared paper)Oliver Bimber (4 shared papers)Gordon Wetzstein (1 shared paper)Anselm Grundhöfer (1 shared paper)Daniel Kurz (1 shared paper)Hengchin Yeh (1 shared paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Max Grosse
7 papers receiving 233 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 209
- Media Technology 81
- Computer Graphics and Computer-Aided Design 16
- Signal Processing 32
- Human-Computer Interaction 12
Countries citing papers authored by Max Grosse
This map shows the geographic impact of Max Grosse'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 Max Grosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Grosse more than expected).
Fields of papers citing papers by Max Grosse
This network shows the impact of papers produced by Max Grosse. 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 Max Grosse. The network helps show where Max Grosse may publish in the future.
Co-authors
The 11 scholars most cited alongside Max Grosse, 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 | 2015 | 178 | |
| 2 | 2010 | 38 | |
| 3 | 2007 | 8 | |
| 4 | 2008 | 8 | |
| 5 | 2013 | 6 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 1 |
About Max Grosse
Max Grosse is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Instrumentation, Computational Mechanics and Human-Computer Interaction, having authored 7 papers that have together received 241 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (5 papers), Advanced Vision and Imaging (4 papers), Optical measurement and interference techniques (3 papers), Advanced Optical Sensing Technologies (2 papers), Interactive and Immersive Displays (1 paper), 3D Shape Modeling and Analysis (1 paper), Face recognition and analysis (1 paper) and Advanced Optical Imaging Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Media Technology (81 citations), Computer Graphics and Computer-Aided Design (16 citations), Signal Processing (32 citations) and Human-Computer Interaction (12 citations). Max Grosse has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Sorkine‐Hornung, Oliver Wang, Henning Zimmer, Oliver Bimber, Gordon Wetzstein, Anselm Grundhöfer, Daniel Kurz, Hengchin Yeh, Thabo Beeler and Moshe Mahler. Their work appears in journals such as ACM Transactions on Graphics and IEEE Computer Graphics and Applications.
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.