Gudrun Zahlmann
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 10%
- Ophthalmology top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Rolf HolleLisa M. McShaneMithat GönenAdam J. SchwarzNicholas PetrickDavid RaunigOlivier ChinotBrian S. Garra
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Retinal Imaging and Analysis (10 papers)Glaucoma and retinal disorders (5 papers)
- Journals
- Journal of Medical Internet ResearchMedical PhysicsInvestigative Ophthalmology & Visual Science
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Gudrun Zahlmann
33 papers receiving 693 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 427
- Genetics 112
- Ophthalmology 88
- Pulmonary and Respiratory Medicine 85
- Biomedical Engineering 84
Countries citing papers authored by Gudrun Zahlmann
This map shows the geographic impact of Gudrun Zahlmann'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 Gudrun Zahlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gudrun Zahlmann more than expected).
Fields of papers citing papers by Gudrun Zahlmann
This network shows the impact of papers produced by Gudrun Zahlmann. 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 Gudrun Zahlmann. The network helps show where Gudrun Zahlmann may publish in the future.
Co-authorship network of co-authors of Gudrun Zahlmann
This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Zahlmann. A scholar is included among the top collaborators of Gudrun Zahlmann 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 Gudrun Zahlmann. Gudrun Zahlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 4 | |
| 4 | 94 | |
| 5 | Moco - Comparison of two different algorithms for motion correction in breast MRI | 2 |
| 6 | Patient Scheduling in Clinical Studies with Multi-Agent Techniques. | 3 |
| 7 | 17 | |
| 8 | 32 | |
| 9 | Internet Based Glaucoma Screening | 1 |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 32 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | Real applications of patient-related telemedical services. | 1 |
| 16 | 44 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | 9 |
About Gudrun Zahlmann
Gudrun Zahlmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Information Management, having authored 34 papers that have together received 719 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Retinal Imaging and Analysis (10 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (427 citations), Genetics (112 citations) and Ophthalmology (88 citations). Gudrun Zahlmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Rolf Holle, Lisa M. McShane, Mithat Gönen, Adam J. Schwarz, Nicholas Petrick, David Raunig, Olivier Chinot, Brian S. Garra, Marina Kondratovich and James Voyvodic. Their work appears in journals such as Journal of Medical Internet Research, Medical Physics and Investigative Ophthalmology & Visual Science.
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.