Gerald Schaefer
Impact in
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- Digital Media Forensic Detection
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
- Artificial Intelligence top 0.5%
- AI in cancer detection
Papers in
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- Image Retrieval and Classification Techniques 98
- Advanced Image and Video Retrieval Techniques 87
- Advanced Data Compression Techniques 30
- Video Analysis and Summarization 27
- Medical Image Segmentation Techniques 27
- Image Enhancement Techniques 22
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- AI in cancer detection 22
- Co-authors
- M. Emre Celebi (28 shared papers)Hitoshi Iyatomi (15 shared papers)Bartosz Krawczyk (18 shared papers)Rupert Ecker (7 shared papers)Amirreza Mahbod (7 shared papers)Michał Woźniak (6 shared papers)Huiyu Zhou (15 shared papers)Graham D. Finlayson (8 shared papers)
- Journals
- Knowledge-Based Systems (6 papers)Pattern Recognition (5 papers)Computerized Medical Imaging and Graphics (5 papers)International Journal of Bio-Inspired Computation (4 papers)Applied Soft Computing (3 papers)
- Partner nations
- United KingdomJapanRussia
In The Last Decade
Gerald Schaefer
287 papers receiving 5.1k citations
Gerald Schaefer's Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 2.6k
- Artificial Intelligence 2.0k
- Media Technology 522
- Oncology 1.4k
- Biophysics 236
Countries citing papers authored by Gerald Schaefer
This map shows the geographic impact of Gerald Schaefer'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 Gerald Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Schaefer more than expected).
Fields of papers citing papers by Gerald Schaefer
This network shows the impact of papers produced by Gerald Schaefer. 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 Gerald Schaefer. The network helps show where Gerald Schaefer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Schaefer, 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 306 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | <title>UCID: an uncompressed color image database</title> Hit paper breakdown → | 2003 | 835 |
| 2 | 2009 | 303 | |
| 3 | 2013 | 271 | |
| 4 | 2020 | 210 | |
| 5 | 2018 | 185 | |
| 6 | 2019 | 185 | |
| 7 | 2012 | 154 | |
| 8 | 2009 | 137 | |
| 9 | 2004 | 124 | |
| 10 | 2017 | 114 | |
| 11 | 2009 | 100 | |
| 12 | 2013 | 98 | |
| 13 | 2021 | 97 | |
| 14 | 2010 | 94 | |
| 15 | 2014 | 89 | |
| 16 | 2010 | 81 | |
| 17 | 2001 | 81 | |
| 18 | 2021 | 70 | |
| 19 | 2022 | 60 | |
| 20 | 2006 | 59 |
About Gerald Schaefer
Gerald Schaefer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Biomedical Engineering, having authored 306 papers that have together received 5.4k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (98 papers), Advanced Image and Video Retrieval Techniques (87 papers), Advanced Data Compression Techniques (30 papers), Video Analysis and Summarization (27 papers), Medical Image Segmentation Techniques (27 papers), AI in cancer detection (22 papers), Image Enhancement Techniques (22 papers) and Cutaneous Melanoma Detection and Management (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Artificial Intelligence (2.0k citations), Media Technology (522 citations), Oncology (1.4k citations) and Biophysics (236 citations). Gerald Schaefer has collaborated with scholars based in United Kingdom, Japan and Russia. Frequent co-authors include M. Emre Celebi, Hitoshi Iyatomi, Bartosz Krawczyk, Rupert Ecker, Amirreza Mahbod, Michał Woźniak, Huiyu Zhou, Graham D. Finlayson, Chunliang Wang and Isabella Ellinger. Their work appears in journals such as Knowledge-Based Systems, Pattern Recognition, Computerized Medical Imaging and Graphics, International Journal of Bio-Inspired Computation and Applied Soft Computing.
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.