Ralf Floca
Impact in
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in ⓘ
-
- Medical Imaging Techniques and Applications 13
- Advanced MRI Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 8
-
- Advanced Radiotherapy Techniques 8
- Co-authors
- Daniel Paech (8 shared papers)Martin Bendszus (10 shared papers)Jürgen Debus (7 shared papers)Sebastian Adeberg (4 shared papers)Uwe Haberkorn (6 shared papers)Wolfgang Wick (7 shared papers)Heinz-Peter Schlemmer (6 shared papers)Alexander Radbruch (7 shared papers)
- Journals
- European Journal of Radiology (4 papers)Scientific Reports (3 papers)Journal of Magnetic Resonance Imaging (3 papers)Computer Methods and Programs in Biomedicine (2 papers)Radiation Oncology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Ralf Floca
38 papers receiving 683 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 403
- Genetics 144
- Radiation 74
- Cancer Research 87
- Oncology 151
Countries citing papers authored by Ralf Floca
This map shows the geographic impact of Ralf Floca'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 Ralf Floca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Floca more than expected).
Fields of papers citing papers by Ralf Floca
This network shows the impact of papers produced by Ralf Floca. 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 Ralf Floca. The network helps show where Ralf Floca may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Floca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2019 | 57 | |
| 3 | 2017 | 40 | |
| 4 | 2016 | 37 | |
| 5 | 2015 | 35 | |
| 6 | 2018 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2018 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2015 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2013 | 13 | |
| 19 | 2019 | 11 | |
| 20 | 2012 | 11 |
About Ralf Floca
Ralf Floca is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Genetics, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 39 papers that have together received 688 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Radiotherapy Techniques (8 papers), MRI in cancer diagnosis (8 papers), Glioma Diagnosis and Treatment (6 papers), Acute Ischemic Stroke Management (4 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (403 citations), Genetics (144 citations), Radiation (74 citations), Cancer Research (87 citations) and Oncology (151 citations). Ralf Floca has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniel Paech, Martin Bendszus, Jürgen Debus, Sebastian Adeberg, Uwe Haberkorn, Wolfgang Wick, Heinz-Peter Schlemmer, Alexander Radbruch, Mark E. Ladd and Paul Flechsig. Their work appears in journals such as European Journal of Radiology, Scientific Reports, Journal of Magnetic Resonance Imaging, Computer Methods and Programs in Biomedicine and Radiation Oncology.
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.