Jan Egger
Impact in
- Health Informatics top 0.5%
- Oral Surgery top 1%
- Dental Radiography and Imaging
Papers in
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- Anatomy and Medical Technology 28
- Medical Imaging and Analysis 23
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- Radiomics and Machine Learning in Medical Imaging 33
- Co-authors
- Jianning Li (36 shared papers)Xiaojun Chen (31 shared papers)Christina Gsaxner (46 shared papers)Christopher Nimsky (21 shared papers)Jens Kleesiek (38 shared papers)Bernd Freisleben (22 shared papers)Antonio Pepe (34 shared papers)Tina Kapur (9 shared papers)
In The Last Decade
Jan Egger
153 papers receiving 2.9k citations
Jan Egger's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 260
- Oral Surgery 395
- Computer Vision and Pattern Recognition 898
- Human-Computer Interaction 183
- Radiology, Nuclear Medicine and Imaging 769
Countries citing papers authored by Jan Egger
This map shows the geographic impact of Jan Egger'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 Jan Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Egger more than expected).
Fields of papers citing papers by Jan Egger
This network shows the impact of papers produced by Jan Egger. 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 Jan Egger. The network helps show where Jan Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Egger, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 190 | |
| 2 | ChatGPT in healthcare: A taxonomy and systematic review Hit paper breakdown → | 2024 | 171 |
| 3 | 2020 | 163 | |
| 4 | 2022 | 153 | |
| 5 | 2015 | 152 | |
| 6 | CellViT: Vision Transformers for precise cell segmentation and classification Hit paper breakdown → | 2024 | 96 |
| 7 | 2017 | 77 | |
| 8 | 2023 | 71 | |
| 9 | 2012 | 69 | |
| 10 | 2012 | 62 | |
| 11 | 2019 | 56 | |
| 12 | 2020 | 52 | |
| 13 | 2014 | 51 | |
| 14 | 2020 | 50 | |
| 15 | 2018 | 43 | |
| 16 | 2012 | 40 | |
| 17 | 2021 | 40 | |
| 18 | 2011 | 39 | |
| 19 | 2012 | 39 | |
| 20 | 2017 | 36 |
About Jan Egger
Jan Egger is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Surgery and Oral Surgery, having authored 164 papers that have together received 2.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Image Segmentation Techniques (31 papers), Anatomy and Medical Technology (28 papers), Medical Imaging and Analysis (23 papers), Dental Radiography and Imaging (20 papers), AI in cancer detection (19 papers), Surgical Simulation and Training (17 papers) and Aortic aneurysm repair treatments (17 papers). The work is most often cited by research in Health Informatics (260 citations), Oral Surgery (395 citations), Computer Vision and Pattern Recognition (898 citations), Human-Computer Interaction (183 citations) and Radiology, Nuclear Medicine and Imaging (769 citations). Jan Egger has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Jianning Li, Xiaojun Chen, Christina Gsaxner, Christopher Nimsky, Jens Kleesiek, Bernd Freisleben, Antonio Pepe, Tina Kapur, Jürgen Wallner and Dieter Schmalstieg. Their work appears in journals such as PLoS ONE, Medical Image Analysis, Computer Methods and Programs in Biomedicine, Scientific Reports and Scientific Data.
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.