Lorenz A. Kapsner
Impact in
- Health Informatics top 10%
-
- Electronic Health Records Systems
Papers in
-
- MRI in cancer diagnosis 8
- Advanced Neuroimaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
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- Gene expression and cancer classification 1
- Co-authors
- Hans‐Ulrich Prokosch (6 shared papers)Jakob Zierk (2 shared papers)Farhad Arzideh (1 shared paper)Manfred Rauh (1 shared paper)Sebastian Mate (5 shared papers)Markus Metzler (1 shared paper)Susanne A. Seuchter (4 shared papers)Michael Uder (11 shared papers)
- Journals
- Scientific Reports (3 papers)European Radiology (3 papers)PLoS ONE (2 papers)Applied Clinical Informatics (2 papers)Nature Communications (1 paper)
- Partner nations
- GermanyItalySwitzerland
In The Last Decade
Lorenz A. Kapsner
26 papers receiving 270 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 11
- Health Information Management 30
- Statistics, Probability and Uncertainty 18
- Rheumatology 29
- Management Science and Operations Research 24
Countries citing papers authored by Lorenz A. Kapsner
This map shows the geographic impact of Lorenz A. Kapsner'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 Lorenz A. Kapsner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz A. Kapsner more than expected).
Fields of papers citing papers by Lorenz A. Kapsner
This network shows the impact of papers produced by Lorenz A. Kapsner. 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 Lorenz A. Kapsner. The network helps show where Lorenz A. Kapsner may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorenz A. Kapsner, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2019 | 39 | |
| 3 | 2022 | 32 | |
| 4 | 2019 | 24 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 1 |
About Lorenz A. Kapsner
Lorenz A. Kapsner is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Information Systems and Information Systems and Management, having authored 29 papers that have together received 273 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Meta-analysis and systematic reviews (2 papers), Research Data Management Practices (2 papers), Scientific Computing and Data Management (2 papers), Aortic Disease and Treatment Approaches (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Health Informatics (11 citations), Health Information Management (30 citations), Statistics, Probability and Uncertainty (18 citations), Rheumatology (29 citations) and Management Science and Operations Research (24 citations). Lorenz A. Kapsner has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Hans‐Ulrich Prokosch, Jakob Zierk, Farhad Arzideh, Manfred Rauh, Sebastian Mate, Markus Metzler, Susanne A. Seuchter, Michael Uder, Detlef Kraska and Julian Gruendner. Their work appears in journals such as Scientific Reports, European Radiology, PLoS ONE, Applied Clinical Informatics and Nature Communications.
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.