Simon Bernatz

1.2k citations
58 papers · 533 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Simon Bernatz

46 papers receiving 530 citations

Hit Papers

Foundation model for cancer imaging biomarkers 2024 · 63 citations
630+1Years since publication204060

Peers

Simon Bernatz
Comparison fields: 5 of 83
  • Health Informatics 23
  • Genetics 94
  • Radiology, Nuclear Medicine and Imaging 164
  • Pulmonary and Respiratory Medicine 166
  • Oncology 132
Replace Chaoyue Chen with:
Chaoyue Chen China
Philipp M. Kazmierczak Germany
Jinghao Duan China
Aida Kiviniemi Finland
Yan Zou China
Selvinaz Özkara Türkiye
Jackson Hamilton United States
Simon Bernatz relative to Chaoyue Chen China Chaoyue Chen's profile →
Citations per field
00.5×10×
Chaoyue Chen · 1×
Citations per year

Countries citing papers authored by Simon Bernatz

Since Specialization
Citations

This map shows the geographic impact of Simon Bernatz'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 Simon Bernatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Bernatz more than expected).

Fields of papers citing papers by Simon Bernatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Bernatz. 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 Simon Bernatz. The network helps show where Simon Bernatz may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Bernatz, 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 Simon Bernatz Line = papers co-authored together Simon Bernatz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2
Foundation model for cancer imaging biomarkers
Hit paper breakdown →
202463
3 201839
4 201824
5 202123
6 202123
7 202121
8 202317
9 201715
10 202115
11 201913
12 202311
13 202111
14 202111
15 202110
16 202310
17 202210
18 20219
19 20238
20 20228

About Simon Bernatz

Simon Bernatz is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 58 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Radiation Dose and Imaging (7 papers), MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). The work is most often cited by research in Health Informatics (23 citations), Genetics (94 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Pulmonary and Respiratory Medicine (166 citations) and Oncology (132 citations). Simon Bernatz has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Patrick N. Harter, Thomas J. Vogl, Simon S. Martin, Scherwin Mahmoudi, Christian Senft, Michel Mittelbronn, Christian Booz, Karl H. Plate, Vitali Koch and Pia S. Zeiner. Their work appears in journals such as European Radiology, Cancers, European Journal of Radiology, Academic Radiology and Urologic Oncology Seminars and Original Investigations.

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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