Lutz Freudenberg
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
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- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
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- Thyroid Cancer Diagnosis and Treatment 3
- Co-authors
- Gerald Antoch (4 shared papers)Thomas Beyer (4 shared papers)Tim Akhurst (1 shared paper)Todd M. Blodgett (1 shared paper)Stephan Mueller (1 shared paper)Hilmar Kühl (3 shared papers)Andreas Bockisch (3 shared papers)Thomas Egelhof (2 shared papers)
- Journals
- Nuclear Medicine Communications (2 papers)Journal of Nuclear Medicine (1 paper)Molecular Imaging and Biology (1 paper)Clinical Radiology (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Lutz Freudenberg
10 papers receiving 511 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 287
- Otorhinolaryngology 50
- Radiation 49
- Oncology 89
- Oral Surgery 21
Countries citing papers authored by Lutz Freudenberg
This map shows the geographic impact of Lutz Freudenberg'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 Lutz Freudenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lutz Freudenberg more than expected).
Fields of papers citing papers by Lutz Freudenberg
This network shows the impact of papers produced by Lutz Freudenberg. 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 Lutz Freudenberg. The network helps show where Lutz Freudenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Lutz Freudenberg, 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 | 2003 | 225 | |
| 2 | 2005 | 119 | |
| 3 | 2004 | 102 | |
| 4 | 2004 | 29 | |
| 5 | 2011 | 22 | |
| 6 | 2002 | 22 | |
| 7 | 2022 | 6 | |
| 8 | 2002 | 4 | |
| 9 | 2001 | 4 | |
| 10 | 2008 | 1 |
About Lutz Freudenberg
Lutz Freudenberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Biomedical Engineering, Pathology and Forensic Medicine and Neurology, having authored 10 papers that have together received 534 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Prostate Cancer Treatment and Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (287 citations), Otorhinolaryngology (50 citations), Radiation (49 citations), Oncology (89 citations) and Oral Surgery (21 citations). Lutz Freudenberg has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Gerald Antoch, Thomas Beyer, Tim Akhurst, Todd M. Blodgett, Stephan Mueller, Hilmar Kühl, Andreas Bockisch, Thomas Egelhof, J. F. Debatin and Sigrid Müller. Their work appears in journals such as Nuclear Medicine Communications, Journal of Nuclear Medicine, Molecular Imaging and Biology, Clinical Radiology and European Journal of Nuclear Medicine and Molecular Imaging.
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.