Daniel Paech
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- Advanced MRI Techniques and Applications 60
- MRI in cancer diagnosis 42
- Medical Imaging Techniques and Applications 17
- Radiomics and Machine Learning in Medical Imaging 14
- Biophysics top 0.5%
- Health Informatics top 2%
- Materials Chemistry top 5%
- Lanthanide and Transition Metal Complexes 40
- Genetics top 5%
- Glioma Diagnosis and Treatment 12
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- Acute Ischemic Stroke Management 13
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- Cerebrovascular and Carotid Artery Diseases 10
- Co-authors
- Mark E. LaddAlexander RadbruchPeter BachertHeinz‐Peter SchlemmerMoritz ZaißJohannes WindschuhSebastian BickelhauptMartin Bendszus
- Journals
- Investigative Radiology (12 papers)Magnetic Resonance in Medicine (10 papers)European Radiology (6 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Paech
111 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 118
- Radiology, Nuclear Medicine and Imaging 2.2k
- Biophysics 375
- Health Informatics 65
- Materials Chemistry 1.2k
- Genetics 242
Countries citing papers authored by Daniel Paech
This map shows the geographic impact of Daniel Paech'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 Daniel Paech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paech more than expected).
Fields of papers citing papers by Daniel Paech
This network shows the impact of papers produced by Daniel Paech. 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 Daniel Paech. The network helps show where Daniel Paech may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Paech, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 33 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 34 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 110 | |
| 18 | 2019 | 66 | |
| 19 | 2015 | 183 | |
| 20 | 2015 | 35 |
About Daniel Paech
Daniel Paech is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (60 papers), MRI in cancer diagnosis (42 papers), Lanthanide and Transition Metal Complexes (40 papers), Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Acute Ischemic Stroke Management (13 papers), Glioma Diagnosis and Treatment (12 papers) and Cerebrovascular and Carotid Artery Diseases (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Biophysics (375 citations) and Health Informatics (65 citations). Daniel Paech has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Mark E. Ladd, Alexander Radbruch, Peter Bachert, Heinz‐Peter Schlemmer, Moritz Zaiß, Johannes Windschuh, Sebastian Bickelhaupt, Martin Bendszus, Jan‐Eric Meissner and Wolfgang Wick. Their work appears in journals such as Investigative Radiology, Magnetic Resonance in Medicine, European Radiology, NMR in Biomedicine and Radiology.
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.