Julia Fruehwald‐Pallamar
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 4
- MRI in cancer diagnosis 3
- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 2
- Otorhinolaryngology top 10%
- Oral Surgery top 10%
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- Digital Radiography and Breast Imaging 3
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- Advanced X-ray and CT Imaging 2
- Medical Imaging and Analysis 2
- Co-authors
- Michael WeberMarius E. MayerhoeferChristian CzernyMajda M. ThurnherChristina Mueller‐MangStefan B. PuchnerStefan F. NemecAndrea Rossi
- Journals
- American Journal of Roentgenology (1 paper)Medical Physics (1 paper)American Journal of Neuroradiology (1 paper)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Julia Fruehwald‐Pallamar
20 papers receiving 451 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 278
- Otorhinolaryngology 48
- Genetics 67
- Oral Surgery 35
- Orthopedics and Sports Medicine 26
Countries citing papers authored by Julia Fruehwald‐Pallamar
This map shows the geographic impact of Julia Fruehwald‐Pallamar'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 Fruehwald‐Pallamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Fruehwald‐Pallamar more than expected).
Fields of papers citing papers by Julia Fruehwald‐Pallamar
This network shows the impact of papers produced by Julia Fruehwald‐Pallamar. 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 Fruehwald‐Pallamar. The network helps show where Julia Fruehwald‐Pallamar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia Fruehwald‐Pallamar, 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 | 2023 | 2 | |
| 2 | 2022 | 2 | |
| 3 | 2015 | 32 | |
| 4 | 2014 | 29 | |
| 5 | 2013 | 38 | |
| 6 | 2013 | 11 | |
| 7 | 2013 | 90 | |
| 8 | 2012 | 12 | |
| 9 | 2012 | 9 | |
| 10 | 2012 | 4 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 15 | |
| 13 | 2011 | 56 | |
| 14 | 2011 | 29 | |
| 15 | 2011 | 52 | |
| 16 | 2011 | 3 | |
| 17 | 2010 | 1 | |
| 18 | 2010 | 22 | |
| 19 | 2010 | 12 | |
| 20 | 2006 | 35 |
About Julia Fruehwald‐Pallamar
Julia Fruehwald‐Pallamar is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Orthopedics and Sports Medicine, having authored 20 papers that have together received 458 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), MRI in cancer diagnosis (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (3 papers), Advanced MRI Techniques and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (278 citations), Otorhinolaryngology (48 citations) and Genetics (67 citations). Julia Fruehwald‐Pallamar has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Michael Weber, Marius E. Mayerhoefer, Christian Czerny, Majda M. Thurnher, Christina Mueller‐Mang, Stefan B. Puchner, Stefan F. Nemec, Andrea Rossi, Clemens Klug and Claus Koelblinger. Their work appears in journals such as American Journal of Roentgenology, Medical Physics and American Journal of Neuroradiology.
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.