Hubert Bickel
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Artificial Intelligence
- Surgery
- Co-authors
- Thomas H. HelbichKatja PinkerPascal BaltzerWolfgang BognerStephan H. PolanecMichael WeberClaudio SpickStephan Gruber
- Topics
- MRI in cancer diagnosis (28 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)Advanced Neuroimaging Techniques and Applications (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPathology and Forensic MedicineNeuropsychology and Physiological Psychology
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Hubert Bickel
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 220
- Pathology and Forensic Medicine 192
- Artificial Intelligence 69
- Surgery 57
Countries citing papers authored by Hubert Bickel
This map shows the geographic impact of Hubert Bickel'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 Hubert Bickel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Bickel more than expected).
Fields of papers citing papers by Hubert Bickel
This network shows the impact of papers produced by Hubert Bickel. 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 Hubert Bickel. The network helps show where Hubert Bickel may publish in the future.
Co-authorship network of co-authors of Hubert Bickel
This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Bickel. A scholar is included among the top collaborators of Hubert Bickel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hubert Bickel. Hubert Bickel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 42 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 36 | |
| 10 | 14 | |
| 11 | 34 | |
| 12 | 84 | |
| 13 | 78 | |
| 14 | 71 | |
| 15 | 4 | |
| 16 | 79 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 76 | |
| 20 | 48 |
About Hubert Bickel
Hubert Bickel is a scholar working on Radiology, Nuclear Medicine and Imaging, Neuropsychology and Physiological Psychology and Hepatology, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (28 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pathology and Forensic Medicine (192 citations) and Neuropsychology and Physiological Psychology (15 citations). Hubert Bickel has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Thomas H. Helbich, Katja Pinker, Pascal Baltzer, Wolfgang Bogner, Stephan H. Polanec, Michael Weber, Claudio Spick, Stephan Gruber, Siegfried Trattnig and Zsuzsanna Bagó-Horváth. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE 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.