Jonathan Kottlors
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 6
- COVID-19 diagnosis using AI 3
- Co-authors
- David Maintz (21 shared papers)Simon Lennartz (12 shared papers)Thorsten Persigehl (14 shared papers)Philipp Fervers (17 shared papers)Andra-Iza Iuga (5 shared papers)Roman Johannes Gertz (6 shared papers)Christoph Kabbasch (8 shared papers)Alexander C. Bunck (3 shared papers)
- Journals
- Radiology (4 papers)European Radiology (3 papers)European Journal of Radiology (2 papers)Clinical Neuroradiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- GermanyAzerbaijan
In The Last Decade
Jonathan Kottlors
26 papers receiving 425 citations
Jonathan Kottlors's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 185
- Radiology, Nuclear Medicine and Imaging 237
- Internal Medicine 37
- Family Practice 9
- Neurology 42
Countries citing papers authored by Jonathan Kottlors
This map shows the geographic impact of Jonathan Kottlors'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 Jonathan Kottlors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kottlors more than expected).
Fields of papers citing papers by Jonathan Kottlors
This network shows the impact of papers produced by Jonathan Kottlors. 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 Jonathan Kottlors. The network helps show where Jonathan Kottlors may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Kottlors, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study Hit paper breakdown → | 2023 | 84 |
| 2 | 2023 | 67 | |
| 3 | 2024 | 60 | |
| 4 | 2017 | 45 | |
| 5 | 2020 | 26 | |
| 6 | 2023 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2024 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Jonathan Kottlors
Jonathan Kottlors is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Neurology and Surgery, having authored 30 papers that have together received 431 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (6 papers), Advanced X-ray and CT Imaging (6 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), COVID-19 diagnosis using AI (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Acute Ischemic Stroke Management (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Health Informatics (185 citations), Radiology, Nuclear Medicine and Imaging (237 citations), Internal Medicine (37 citations), Family Practice (9 citations) and Neurology (42 citations). Jonathan Kottlors has collaborated with scholars based in Germany and Azerbaijan. Frequent co-authors include David Maintz, Simon Lennartz, Thorsten Persigehl, Philipp Fervers, Andra-Iza Iuga, Roman Johannes Gertz, Christoph Kabbasch, Alexander C. Bunck, Thomas Dratsch and Marc Schlamann. Their work appears in journals such as Radiology, European Radiology, European Journal of Radiology, Clinical Neuroradiology and Scientific Reports.
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.