Simon Hawe
Impact in
- Computational Mathematics top 5%
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
- Image and Signal Denoising Methods 2
- Advanced Vision and Imaging 2
-
- Sparse and Compressive Sensing Techniques 4
- Co-authors
- Martin Kleinsteuber (6 shared papers)Klaus J. Diepold (6 shared papers)Daniel Cremers (1 shared paper)Claudia Nieuwenhuis (1 shared paper)Michael E. Zwick (1 shared paper)
- Journals
- Information Fusion (1 paper)International Journal of Computer Vision (1 paper)Applied Soft Computing (1 paper)Lecture notes in computer science (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (6 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Simon Hawe
10 papers receiving 281 citations
Peers
Comparison fields: 5 of 39
- Computational Mathematics 16
- Media Technology 110
- Computer Vision and Pattern Recognition 232
- Computational Mechanics 78
- Instrumentation 11
Countries citing papers authored by Simon Hawe
This map shows the geographic impact of Simon Hawe'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 Simon Hawe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Hawe more than expected).
Fields of papers citing papers by Simon Hawe
This network shows the impact of papers produced by Simon Hawe. 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 Simon Hawe. The network helps show where Simon Hawe may publish in the future.
Co-authors
The 5 scholars most cited alongside Simon Hawe, 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 | 2013 | 85 | |
| 2 | 2013 | 76 | |
| 3 | 2011 | 73 | |
| 4 | 2010 | 14 | |
| 5 | 2014 | 13 | |
| 6 | 2012 | 12 | |
| 7 | 2014 | 10 | |
| 8 | 2012 | 5 | |
| 9 | MutanT: A modular and generic tool for multi-sensor data processing | 2009 | 2 |
| 10 | 2009 | 1 |
About Simon Hawe
Simon Hawe is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Instrumentation and Biophysics, having authored 10 papers that have together received 291 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Vision and Imaging (2 papers), Image Processing Techniques and Applications (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Media Technology (110 citations), Computer Vision and Pattern Recognition (232 citations), Computational Mechanics (78 citations) and Instrumentation (11 citations). Simon Hawe has collaborated with scholars based in Germany and United States. Frequent co-authors include Martin Kleinsteuber, Klaus J. Diepold, Daniel Cremers, Claudia Nieuwenhuis and Michael E. Zwick. Their work appears in journals such as Information Fusion, International Journal of Computer Vision, Applied Soft Computing, Lecture notes in computer science and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).
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.