C. Gonner
Impact in
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Media Technology top 2%
- Image Processing Techniques and Applications
Papers in
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- Image and Object Detection Techniques 3
- Image Retrieval and Classification Techniques 2
- Advanced Image Processing Techniques 2
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- Income, Poverty, and Inequality 3
- Co-authors
- Klaus Spitzer (2 shared papers)Thomas Lehmann (2 shared papers)Karl–Friedrich Kraiss (3 shared papers)G. Limberg (4 shared papers)Eva Wollenberg (2 shared papers)M. Moeliono (2 shared papers)P. Cronkleton (1 shared paper)R. Iwan (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Lecture notes in computer science (1 paper)Informatik aktuell (2 papers)Center for International Forestry Research (CIFOR) eBooks (6 papers)
In The Last Decade
C. Gonner
10 papers receiving 1.1k citations
C. Gonner's Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 759
- Media Technology 203
- Computer Graphics and Computer-Aided Design 40
- Radiology, Nuclear Medicine and Imaging 216
- Signal Processing 74
Countries citing papers authored by C. Gonner
This map shows the geographic impact of C. Gonner'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 C. Gonner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Gonner more than expected).
Fields of papers citing papers by C. Gonner
This network shows the impact of papers produced by C. Gonner. 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 C. Gonner. The network helps show where C. Gonner may publish in the future.
Co-authors
The 8 scholars most cited alongside C. Gonner, 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 | Survey: interpolation methods in medical image processing Hit paper breakdown → | 1999 | 991 |
| 2 | 2001 | 134 | |
| 3 | 2005 | 22 | |
| 4 | 2007 | 21 | |
| 5 | 2007 | 16 | |
| 6 | 2007 | 11 | |
| 7 | 2007 | 6 | |
| 8 | 2007 | 3 | |
| 9 | 2007 | 2 | |
| 10 | 2003 | 1 | |
| 11 | 2006 | 0 |
About C. Gonner
C. Gonner is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computational Mechanics, Safety Research and Economics and Econometrics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (3 papers), Image and Object Detection Techniques (3 papers), Poverty, Education, and Child Welfare (2 papers), Economic Growth and Fiscal Policies (2 papers), Local Governance and Development (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (759 citations), Media Technology (203 citations), Computer Graphics and Computer-Aided Design (40 citations), Radiology, Nuclear Medicine and Imaging (216 citations) and Signal Processing (74 citations). C. Gonner has collaborated with scholars based in Germany and Indonesia. Frequent co-authors include Klaus Spitzer, Thomas Lehmann, Karl–Friedrich Kraiss, G. Limberg, Eva Wollenberg, M. Moeliono, P. Cronkleton and R. Iwan. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, Informatik aktuell and Center for International Forestry Research (CIFOR) eBooks.
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.