Anton Böhm
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Advanced Neural Network Applications 2
- Digital Imaging for Blood Diseases 1
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- Cell Image Analysis Techniques 3
- Co-authors
- Olaf Ronneberger (2 shared papers)Bogdan J. Matuszewski (1 shared paper)Xiaojuan Qi (1 shared paper)Bassem Ben Cheikh (1 shared paper)Michael Pfeiffer (1 shared paper)Josien P. W. Pluim (1 shared paper)Martin Urschler (1 shared paper)David Snead (1 shared paper)
- Journals
- Medical Image Analysis (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (2 papers)Medical Entomology and Zoology (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Anton Böhm
4 papers receiving 604 citations
Anton Böhm's Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 340
- Artificial Intelligence 430
- Radiology, Nuclear Medicine and Imaging 272
- Biophysics 70
- Health Informatics 12
Countries citing papers authored by Anton Böhm
This map shows the geographic impact of Anton Böhm'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 Böhm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Böhm more than expected).
Fields of papers citing papers by Anton Böhm
This network shows the impact of papers produced by Anton Böhm. 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 Böhm. The network helps show where Anton Böhm may publish in the future.
Co-authors
The 20 scholars most cited alongside Anton Böhm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Gland segmentation in colon histology images: The glas challenge contest Hit paper breakdown → | 2016 | 598 |
| 2 | 2018 | 11 | |
| 3 | 2019 | 3 | |
| 4 | 2020 | 1 | |
| 5 | Krise des Parlamentarismus | 1961 | 1 |
About Anton Böhm
Anton Böhm is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Political Science and International Relations and Sociology and Political Science, having authored 5 papers that have together received 614 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), AI in cancer detection (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Public Administration and Political Analysis (1 paper), Populism, Right-Wing Movements (1 paper), Digital Imaging for Blood Diseases (1 paper) and Economic and Social Issues (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Artificial Intelligence (430 citations), Radiology, Nuclear Medicine and Imaging (272 citations), Biophysics (70 citations) and Health Informatics (12 citations). Anton Böhm has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Olaf Ronneberger, Bogdan J. Matuszewski, Xiaojuan Qi, Bassem Ben Cheikh, Michael Pfeiffer, Josien P. W. Pluim, Martin Urschler, David Snead, Hao Chen and Elia Bruni. Their work appears in journals such as Medical Image Analysis, FreiDok plus (Universitätsbibliothek Freiburg) and Medical Entomology and Zoology.
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.