Georg Wimmer
Impact in
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
- Celiac Disease Research and Management
- Oncology top 10%
- Colorectal Cancer Screening and Detection
Papers in
-
- Image Retrieval and Classification Techniques 8
- Face recognition and analysis 5
- Advanced Data Compression Techniques 4
- Oncology 10
- Colorectal Cancer Screening and Detection 10
- Co-authors
- Andreas Uhl (35 shared papers)Michael Häfner (14 shared papers)Andreas Vécsei (8 shared papers)Shigeto Yoshida (5 shared papers)Toru Tamaki (5 shared papers)Shinji Tanaka (5 shared papers)Jens J. W. Tischendorf (3 shared papers)Sebastian Hegenbart (2 shared papers)
In The Last Decade
Georg Wimmer
33 papers receiving 457 citations
Peers
Comparison fields: 5 of 72
- Gastroenterology 96
- Oncology 211
- Computer Vision and Pattern Recognition 153
- Radiology, Nuclear Medicine and Imaging 129
- Signal Processing 47
Countries citing papers authored by Georg Wimmer
This map shows the geographic impact of Georg Wimmer'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 Georg Wimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Wimmer more than expected).
Fields of papers citing papers by Georg Wimmer
This network shows the impact of papers produced by Georg Wimmer. 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 Georg Wimmer. The network helps show where Georg Wimmer may publish in the future.
Co-authors
The 23 scholars most cited alongside Georg Wimmer, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 123 | |
| 2 | 2016 | 67 | |
| 3 | 2015 | 42 | |
| 4 | 2013 | 34 | |
| 5 | 2016 | 32 | |
| 6 | 2017 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2018 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2014 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2017 | 10 | |
| 14 | Fractal analysis for the viewpoint invariant classification of celiac disease | 2011 | 8 |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Georg Wimmer
Georg Wimmer is a scholar working on Computer Vision and Pattern Recognition, Oncology, Signal Processing, Organic Chemistry and Environmental Engineering, having authored 35 papers that have together received 465 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (10 papers), Image Retrieval and Classification Techniques (8 papers), Biometric Identification and Security (7 papers), Remote Sensing and LiDAR Applications (6 papers), Wood and Agarwood Research (6 papers), Face recognition and analysis (5 papers), Industrial Vision Systems and Defect Detection (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Gastroenterology (96 citations), Oncology (211 citations), Computer Vision and Pattern Recognition (153 citations), Radiology, Nuclear Medicine and Imaging (129 citations) and Signal Processing (47 citations). Georg Wimmer has collaborated with scholars based in Austria, Germany and Japan. Frequent co-authors include Andreas Uhl, Michael Häfner, Andreas Vécsei, Shigeto Yoshida, Toru Tamaki, Shinji Tanaka, Jens J. W. Tischendorf, Sebastian Hegenbart, Bernhard Prommegger and Friedrich Wrba. Their work appears in journals such as Medical Image Analysis, Computers in Biology and Medicine, Pattern Analysis and Applications, Computers and Electronics in Agriculture and Computerized Medical Imaging and Graphics.
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.