Ulf‐Dietrich Braumann
- Biophysics top 5%
- Cell Image Analysis Techniques 5
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments 6
- Reproductive Medicine top 10%
- Analytical Chemistry top 10%
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- Neuroinflammation and Neurodegeneration Mechanisms 3
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- AI in cancer detection 7
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- Medical Image Segmentation Techniques 5
- Image Retrieval and Classification Techniques 3
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- Radiomics and Machine Learning in Medical Imaging 5
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- Cancer Cells and Metastasis 3
- Co-authors
- Lars‐Christian HornJens EinenkelMichael HöckelNadja DornhöferU. WolfHans BinderMatthias SchmidtReiner Salzer
- Journals
- SHILAP Revista de lepidopterología (1 paper)Brain Research (1 paper)The Lancet Oncology (2 papers)
In The Last Decade
Ulf‐Dietrich Braumann
36 papers receiving 522 citations
Peers
Comparison fields: 5 of 104
- Biophysics 100
- Obstetrics and Gynecology 133
- Reproductive Medicine 81
- Analytical Chemistry 44
- Neurology 25
Countries citing papers authored by Ulf‐Dietrich Braumann
This map shows the geographic impact of Ulf‐Dietrich Braumann'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 Ulf‐Dietrich Braumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf‐Dietrich Braumann more than expected).
Fields of papers citing papers by Ulf‐Dietrich Braumann
This network shows the impact of papers produced by Ulf‐Dietrich Braumann. 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 Ulf‐Dietrich Braumann. The network helps show where Ulf‐Dietrich Braumann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulf‐Dietrich Braumann, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 7 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 18 | |
| 10 | 2012 | 5 | |
| 11 | 2011 | 26 | |
| 12 | 3D-reconstruction of basal cell carcinoma: a proof-of-principle study | 2010 | 1 |
| 13 | 2009 | 101 | |
| 14 | 2007 | 12 | |
| 15 | 2007 | 10 | |
| 16 | 2006 | 3 | |
| 17 | 2005 | 3 | |
| 18 | 2005 | 60 | |
| 19 | Contour-Based Person Localizaion by 3D Neural Fields and Steerable Filters. | 1998 | 4 |
| 20 | An episodic knowledge base for object understanding. | 1995 | 0 |
About Ulf‐Dietrich Braumann
Ulf‐Dietrich Braumann is a scholar working on Biophysics, Obstetrics and Gynecology and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 534 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Medical Image Segmentation Techniques (5 papers), Cell Image Analysis Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cancer Cells and Metastasis (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Biophysics (100 citations), Obstetrics and Gynecology (133 citations) and Reproductive Medicine (81 citations). Ulf‐Dietrich Braumann has collaborated with scholars based in Germany, Australia and Mexico. Frequent co-authors include Lars‐Christian Horn, Jens Einenkel, Michael Höckel, Nadja Dornhöfer, U. Wolf, Hans Binder, Matthias Schmidt, Reiner Salzer, Christoph Krafft and Bettina Hentschel. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and The Lancet Oncology.
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.