Hubert Bickel

1.9k citations
50 papers · 1.4k · h-index 20

Impact in

Papers in

Hubert Bickel

47 papers receiving 1.4k citations

Peers

Hubert Bickel
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Pathology and Forensic Medicine 192
  • Neuropsychology and Physiological Psychology 15
  • Pulmonary and Respiratory Medicine 220
  • Health 44
Replace Yasuko Abe with:
Yasuko Abe Japan
Mark Deffebach United States
Alexander L. Chin United States
Matthew P. Johnson United States
Sora C. Yoon United States
Riccardo Bigi Italy
Gillian Smith United Kingdom
Manny Coker‐Schwimmer United States
Xiu Juan Zhang China
Hubert Bickel relative to Yasuko Abe Japan Yasuko Abe's profile →
Citations per field
00.5×11.3×
Yasuko Abe · 1×
Citations per year

Countries citing papers authored by Hubert Bickel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Hubert Bickel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hubert Bickel Line = papers co-authored together Hubert Bickel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012164
2 201496
3 201392
4 201684
5 201479
6 201678
7 201376
8 201774
9 198072
10 201471
11 202156
12 201148
13 201645
14 201942
15 202041
16 201738
17 201736
18 201634
19 201930
20 201726

About Hubert Bickel

Hubert Bickel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Surgery and Epidemiology, 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), Advanced Neuroimaging Techniques and Applications (13 papers), Medical Imaging Techniques and Applications (6 papers), Advanced MRI Techniques and Applications (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Breast Lesions and Carcinomas (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pathology and Forensic Medicine (192 citations), Neuropsychology and Physiological Psychology (15 citations), Pulmonary and Respiratory Medicine (220 citations) and Health (44 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, Stephan Gruber, Claudio Spick, Siegfried Trattnig and Zsuzsanna Bagó-Horváth. Their work appears in journals such as European Radiology, Investigative Radiology, NMR in Biomedicine, Clinical Cancer Research and European Journal of Cancer.

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.

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