Julia Höhn
Impact in
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Optical Network Technologies 2
- Power Line Communications and Noise 2
- Semiconductor Lasers and Optical Devices 2
- Co-authors
- Andreas Herrlich (1 shared paper)Christof von Kalle (2 shared papers)Robert Grosse (1 shared paper)Tanja Jutzi (2 shared papers)Titus J. Brinker (3 shared papers)Sara Kuntz (2 shared papers)Elizabeth Alwers (2 shared papers)Eva Krieghoff‐Henning (3 shared papers)
- Journals
- IEEE Transactions on Power Delivery (3 papers)European Journal of Cancer (2 papers)npj Precision Oncology (1 paper)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)Cells (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Julia Höhn
14 papers receiving 329 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 69
- Reproductive Medicine 23
- Oncology 68
- Orthodontics 7
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 | 124 | |
| 2 | 2000 | 62 | |
| 3 | 2021 | 49 | |
| 4 | 2002 | 35 | |
| 5 | 2021 | 20 | |
| 6 | 2002 | 13 | |
| 7 | 2018 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 1995 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 1995 | 3 | |
| 13 | 1998 | 1 | |
| 14 | 2003 | 1 |
About Julia Höhn
Julia Höhn is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Surgery, Molecular Biology and Control and Systems Engineering, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (2 papers), Optical Network Technologies (2 papers), Power Line Communications and Noise (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), AI in cancer detection (2 papers), Power Systems Fault Detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Reproductive Medicine (23 citations), Oncology (68 citations) and Orthodontics (7 citations). Julia Höhn has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Andreas Herrlich, Christof von Kalle, Robert Grosse, Tanja Jutzi, Titus J. Brinker, Sara Kuntz, Elizabeth Alwers, Eva Krieghoff‐Henning, Hermann Brenner and Michael Hoffmeister. Their work appears in journals such as IEEE Transactions on Power Delivery, European Journal of Cancer, npj Precision Oncology, Journal of Biomedical Materials Research Part B Applied Biomaterials and Cells.
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.