Julia Höhn
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Semiconductor Lasers and Optical Devices 2
- Power Line Communications and Noise 2
- Optical Network Technologies 2
- Oncology 3
- Colorectal Cancer Screening and Detection 3
- Colorectal Cancer Surgical Treatments 1
- Co-authors
- Robert Grosse (1 shared paper)Andreas Herrlich (1 shared paper)Thomas Gudermann (1 shared paper)Sara Kuntz (2 shared papers)Tanja Jutzi (2 shared papers)Jakob Nikolas Kather (2 shared papers)Christof von Kalle (2 shared papers)Elizabeth Alwers (2 shared papers)
- Journals
- IEEE Transactions on Power Delivery (3 papers)European Journal of Cancer (2 papers)Journal of Biological Chemistry (1 paper)npj Precision Oncology (1 paper)Brazilian Dental Science (1 paper)
- Partner nations
- GermanyAustraliaSwitzerland
In The Last Decade
Julia Höhn
12 papers receiving 274 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 88
- Oncology 84
- Reproductive Medicine 20
- Cancer Research 29
Countries citing papers authored by Julia Höhn
This map shows the geographic impact of Julia Höhn'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 Julia Höhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Höhn more than expected).
Fields of papers citing papers by Julia Höhn
This network shows the impact of papers produced by Julia Höhn. 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 Julia Höhn. The network helps show where Julia Höhn may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Höhn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2000 | 58 | |
| 3 | 2021 | 43 | |
| 4 | 2002 | 35 | |
| 5 | 2002 | 8 | |
| 6 | 2018 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 1995 | 5 | |
| 9 | 1995 | 3 | |
| 10 | 1998 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2003 | 1 |
About Julia Höhn
Julia Höhn is a scholar working on Electrical and Electronic Engineering, Oncology, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Artificial Intelligence, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Semiconductor Lasers and Optical Devices (2 papers), AI in cancer detection (2 papers), Power Line Communications and Noise (2 papers), Optical Network Technologies (2 papers), Power Systems Fault Detection (2 papers) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Oncology (84 citations), Reproductive Medicine (20 citations) and Cancer Research (29 citations). Julia Höhn has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Robert Grosse, Andreas Herrlich, Thomas Gudermann, Sara Kuntz, Tanja Jutzi, Jakob Nikolas Kather, Christof von Kalle, Elizabeth Alwers, Titus J. Brinker and Eva Krieghoff‐Henning. Their work appears in journals such as IEEE Transactions on Power Delivery, European Journal of Cancer, Journal of Biological Chemistry, npj Precision Oncology and Brazilian Dental Science.
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.