Anton S. Becker

4.5k citations
139 papers · 3.0k · 1 hit paper · h-index 29

Impact in

Papers in

Anton S. Becker

128 papers receiving 2.9k citations

Anton S. Becker's Hit Papers

Deep Learning in Mammography 2017 · 295 citations
2950+3+6Years since publication50100150200250

Peers

Anton S. Becker
Comparison fields: 5 of 137
  • Health Informatics 164
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Pulmonary and Respiratory Medicine 623
  • Cardiology and Cardiovascular Medicine 300
  • Artificial Intelligence 441
Replace Felix Nensa with:
Felix Nensa Germany
Alexander Sauter Germany
Martina Sollini Italy
Lorenzo Ugga Italy
Vinay Duddalwar United States
Stephanie Tanadini‐Lang Switzerland
D. Rietveld Netherlands
Ian F. Dunn United States
Laurent Dercle United States
Marius E. Mayerhoefer Austria
Anton S. Becker relative to Felix Nensa Germany Felix Nensa's profile →
Citations per field
00.5×1.5×1.8×
Felix Nensa · 1×
Citations per year

Countries citing papers authored by Anton S. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Anton S. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton S. Becker. 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 Anton S. Becker. The network helps show where Anton S. Becker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning in Mammography
Hit paper breakdown →
2017295
2 2017131
3 1999120
4 2018114
5 201998
6 201897
7 201990
8 202185
9 202075
10 201768
11 202161
12 201860
13 200755
14 201848
15 201944
16 201742
17 201739
18 201638
19 201837
20 201837

About Anton S. Becker

Anton S. Becker is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (21 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Prostate Cancer Treatment and Research (11 papers), Adipose Tissue and Metabolism (9 papers), MRI in cancer diagnosis (7 papers), Advanced MRI Techniques and Applications (7 papers), Radiology practices and education (6 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Health Informatics (164 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Pulmonary and Respiratory Medicine (623 citations), Cardiology and Cardiovascular Medicine (300 citations) and Artificial Intelligence (441 citations). Anton S. Becker has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Andreas Boss, Magda Marcon, Soleen Ghafoor, Moritz C. Wurnig, Thomas Frauenfelder, Irene A. Burger, Olivio F. Donati, Urs J. Muehlematter, Daniel Eberli and Cristina Rossi. Their work appears in journals such as European Journal of Radiology, European Radiology, PLoS ONE, Investigative Radiology and European Journal of Nuclear Medicine and Molecular Imaging.

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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