Lukas Ebner
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 2%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 12
- COVID-19 diagnosis using AI 10
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- Lung Cancer Diagnosis and Treatment 21
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 10
- Co-authors
- Andreas Christe (75 shared papers)Stavroula G. Mougiakakou (13 shared papers)Stergios Christodoulidis (7 shared papers)Marios Anthimopoulos (4 shared papers)Johannes T. Heverhagen (36 shared papers)Adrian Thomas Huber (46 shared papers)Thomas Geiser (12 shared papers)Bastiaan Driehuys (5 shared papers)
- Journals
- European Radiology (10 papers)PLoS ONE (7 papers)Investigative Radiology (7 papers)American Journal of Roentgenology (6 papers)European Journal of Radiology (6 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Lukas Ebner
104 papers receiving 3.3k citations
Lukas Ebner's Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Informatics 69
- Pulmonary and Respiratory Medicine 864
- Critical Care and Intensive Care Medicine 104
- Neurology 271
Countries citing papers authored by Lukas Ebner
This map shows the geographic impact of Lukas Ebner'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 Lukas Ebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Ebner more than expected).
Fields of papers citing papers by Lukas Ebner
This network shows the impact of papers produced by Lukas Ebner. 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 Lukas Ebner. The network helps show where Lukas Ebner may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Ebner, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network Hit paper breakdown → | 2016 | 1055 |
| 2 | Pulmonary function and radiological features 4 months after COVID-19: first results from the national prospective observational Swiss COVID-19 lung study Hit paper breakdown → | 2021 | 308 |
| 3 | 2016 | 233 | |
| 4 | 2017 | 135 | |
| 5 | 2018 | 120 | |
| 6 | 2019 | 117 | |
| 7 | 2015 | 79 | |
| 8 | 2016 | 73 | |
| 9 | 2017 | 68 | |
| 10 | 2016 | 65 | |
| 11 | 2016 | 59 | |
| 12 | 2013 | 57 | |
| 13 | 2012 | 43 | |
| 14 | 2020 | 41 | |
| 15 | 2020 | 36 | |
| 16 | 2019 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2013 | 28 | |
| 19 | 2021 | 28 | |
| 20 | 2020 | 27 |
About Lukas Ebner
Lukas Ebner is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Epidemiology and Infectious Diseases, having authored 114 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (21 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), COVID-19 diagnosis using AI (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Atomic and Subatomic Physics Research (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Advanced X-ray and CT Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (69 citations), Pulmonary and Respiratory Medicine (864 citations), Critical Care and Intensive Care Medicine (104 citations) and Neurology (271 citations). Lukas Ebner has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Andreas Christe, Stavroula G. Mougiakakou, Stergios Christodoulidis, Marios Anthimopoulos, Johannes T. Heverhagen, Adrian Thomas Huber, Thomas Geiser, Bastiaan Driehuys, Verena Carola Obmann and Justus Erasmus Roos. Their work appears in journals such as European Radiology, PLoS ONE, Investigative Radiology, American Journal of Roentgenology and European Journal 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.