D. Meyer‐Ebrecht
- Computer Vision and Pattern Recognition top 10%
- Surgery
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Biophysics top 5%
- Co-authors
- Alfred BöckingWerner KrybusTil AachGeorg SchloendorffRalph MösgesG. SchlöndorffJoachim M. GilsbachM. Reim
- Topics
- AI in cancer detection (12 papers)Cell Image Analysis Techniques (11 papers)Retinal Imaging and Analysis (6 papers)
- Partner nations
- GermanyAustraliaNetherlands
In The Last Decade
D. Meyer‐Ebrecht
40 papers receiving 426 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 141
- Surgery 130
- Biomedical Engineering 85
- Radiology, Nuclear Medicine and Imaging 73
- Biophysics 55
Countries citing papers authored by D. Meyer‐Ebrecht
This map shows the geographic impact of D. Meyer‐Ebrecht'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 D. Meyer‐Ebrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Meyer‐Ebrecht more than expected).
Fields of papers citing papers by D. Meyer‐Ebrecht
This network shows the impact of papers produced by D. Meyer‐Ebrecht. 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 D. Meyer‐Ebrecht. The network helps show where D. Meyer‐Ebrecht may publish in the future.
Co-authorship network of co-authors of D. Meyer‐Ebrecht
This figure shows the co-authorship network connecting the top 25 collaborators of D. Meyer‐Ebrecht. A scholar is included among the top collaborators of D. Meyer‐Ebrecht based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Meyer‐Ebrecht. D. Meyer‐Ebrecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 38 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | PLUS : Technikentwicklung unter Gesichtspunkten struktureller Veränderungen im Krankenhaus | 0 |
| 12 | 24 | |
| 13 | 10 | |
| 14 | The 'filmless' radiology department-a challenge for the introduction of image processing into the medical routine work? | 2 |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | [CAS (computer assisted surgery). A new procedure in head and neck surgery]. | 63 |
| 20 | PACS oder der zukünftige Arbeitsplatz des Radiologen | 0 |
About D. Meyer‐Ebrecht
D. Meyer‐Ebrecht is a scholar working on Biophysics, Media Technology and Ophthalmology, having authored 44 papers that have together received 449 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Cell Image Analysis Techniques (11 papers) and Retinal Imaging and Analysis (6 papers). The work is most often cited by research in Otorhinolaryngology (47 citations), Biophysics (55 citations) and Periodontics (35 citations). D. Meyer‐Ebrecht has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Alfred Böcking, Werner Krybus, Til Aach, Georg Schloendorff, Ralph Mösges, G. Schlöndorff, Joachim M. Gilsbach, M. Reim, Sebastián Wolf and H. Toonen. Their work appears in journals such as Proceedings of the IEEE, IEEE Journal on Selected Areas in Communications and Computer.
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.