Matthias Hofmann
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- Medical Imaging Techniques and Applications 16
- Advanced MRI Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 8
- Radiation top 2%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 6
- Biomedical Engineering top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 6
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- Facial Rejuvenation and Surgery Techniques 6
- Co-authors
- Bernd J. PichlerBernhard SchölkopfThomas BeyerFlorian SteinkeP AschoffAugust BerndStefan KippenbergerRoland Kaufmann
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Hofmann
84 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 148
- Radiology, Nuclear Medicine and Imaging 1.3k
- Radiation 275
- Biomaterials 220
- Biomedical Engineering 640
- Immunology 297
Countries citing papers authored by Matthias Hofmann
This map shows the geographic impact of Matthias Hofmann'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 Matthias Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Hofmann more than expected).
Fields of papers citing papers by Matthias Hofmann
This network shows the impact of papers produced by Matthias Hofmann. 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 Matthias Hofmann. The network helps show where Matthias Hofmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Hofmann, 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 | 0 | |
| 2 | 2019 | 26 | |
| 3 | 2019 | 6 | |
| 4 | 2014 | 13 | |
| 5 | 2014 | 3 | |
| 6 | 2013 | 26 | |
| 7 | 2012 | 94 | |
| 8 | 2012 | 13 | |
| 9 | 2011 | 75 | |
| 10 | 2011 | 15 | |
| 11 | Comparative Quantitative Evaluation of MR-Based Attenuation Correction Methods in Combined Brain PET/MR | 2010 | 1 |
| 12 | 2010 | 12 | |
| 13 | 2010 | 39 | |
| 14 | 2008 | 264 | |
| 15 | MR-Based PET Attenuation Correction: Method and Validation | 2007 | 9 |
| 16 | Evaluation of Deformable Registration Methods for MR-CT Atlas Alignment | 2007 | 1 |
| 17 | 2006 | 14 | |
| 18 | 2004 | 39 | |
| 19 | 2004 | 14 | |
| 20 | 2001 | 4 |
About Matthias Hofmann
Matthias Hofmann is a scholar working on Dermatology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Advanced MRI Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), T-cell and B-cell Immunology (7 papers), Facial Rejuvenation and Surgery Techniques (6 papers), Immune Cell Function and Interaction (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Radiation (275 citations) and Biomaterials (220 citations). Matthias Hofmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bernd J. Pichler, Bernhard Schölkopf, Thomas Beyer, Florian Steinke, P Aschoff, August Bernd, Stefan Kippenberger, Roland Kaufmann, Jürgen Bereiter‐Hahn and Guillaume Charpiat. Their work appears in journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.
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.