M. Kocher
Impact in
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- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 2%
- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 2
- Image Retrieval and Classification Techniques 2
- Image and Signal Denoising Methods 1
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- Cardiac Imaging and Diagnostics 1
- Co-authors
- M. Kunt (2 shared papers)A. Ikonomopoulos (1 shared paper)Dimitri Van De Ville (1 shared paper)Emmanuel Gallucci (1 shared paper)Eugen Brühwiler (1 shared paper)Emmanuel Denarié (1 shared paper)Lucas Tamarit (1 shared paper)Andreas Gügel (1 shared paper)
- Journals
- Applied Physics Letters (1 paper)Osteoporosis International (1 paper)IEEE Signal Processing Letters (1 paper)Proceedings of the IEEE (1 paper)Journal of the American College of Radiology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
M. Kocher
8 papers receiving 702 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 594
- Media Technology 166
- Signal Processing 136
- Computer Graphics and Computer-Aided Design 19
- Computational Mechanics 43
Countries citing papers authored by M. Kocher
This map shows the geographic impact of M. Kocher'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 M. Kocher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kocher more than expected).
Fields of papers citing papers by M. Kocher
This network shows the impact of papers produced by M. Kocher. 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 M. Kocher. The network helps show where M. Kocher may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kocher, 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 | 1985 | 450 | |
| 2 | 2009 | 192 | |
| 3 | 2008 | 34 | |
| 4 | 2017 | 30 | |
| 5 | 1998 | 30 | |
| 6 | 2023 | 6 | |
| 7 | 2005 | 3 | |
| 8 | 2007 | 1 |
About M. Kocher
M. Kocher is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 746 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Mineral Processing and Grinding (1 paper), Innovations in Concrete and Construction Materials (1 paper), Cardiac Imaging and Diagnostics (1 paper), TiO2 Photocatalysis and Solar Cells (1 paper), Advanced Photocatalysis Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (594 citations), Media Technology (166 citations), Signal Processing (136 citations), Computer Graphics and Computer-Aided Design (19 citations) and Computational Mechanics (43 citations). M. Kocher has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include M. Kunt, A. Ikonomopoulos, Dimitri Van De Ville, Emmanuel Gallucci, Eugen Brühwiler, Emmanuel Denarié, Lucas Tamarit, Andreas Gügel, T. K. Däubler and Eva Harth. Their work appears in journals such as Applied Physics Letters, Osteoporosis International, IEEE Signal Processing Letters, Proceedings of the IEEE and Journal of the American College of Radiology.
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.