Birgitte Nielsen
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Molecular Biology
- Computer Vision and Pattern Recognition
- Pathology and Forensic Medicine
- Co-authors
- Håvard E. DanielsenFritz AlbregtsenSøren Solborg BjerrumMorten la CourMark AlbertiJeppe Romme ChristensenLars BörnsenFinn Sellebjerg
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)AI in cancer detection (6 papers)Gene expression and cancer classification (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerFrontiers in Immunology
- Partner nations
- NorwayDenmarkUnited Kingdom
In The Last Decade
Birgitte Nielsen
21 papers receiving 334 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 108
- Artificial Intelligence 82
- Molecular Biology 58
- Computer Vision and Pattern Recognition 58
- Pathology and Forensic Medicine 54
Countries citing papers authored by Birgitte Nielsen
This map shows the geographic impact of Birgitte Nielsen'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 Birgitte Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgitte Nielsen more than expected).
Fields of papers citing papers by Birgitte Nielsen
This network shows the impact of papers produced by Birgitte Nielsen. 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 Birgitte Nielsen. The network helps show where Birgitte Nielsen may publish in the future.
Co-authorship network of co-authors of Birgitte Nielsen
This figure shows the co-authorship network connecting the top 25 collaborators of Birgitte Nielsen. A scholar is included among the top collaborators of Birgitte Nielsen 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 Birgitte Nielsen. Birgitte Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 48 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 27 | |
| 11 | 20 | |
| 12 | 35 | |
| 13 | 14 | |
| 14 | 26 | |
| 15 | 34 | |
| 16 | 13 | |
| 17 | 23 | |
| 18 | [Treatment of severe primary hypercholesterolemia with lovastatin (Mevacor). A new therapeutic principle]. | 1 |
| 19 | [Incidence of severe dementia among elderly persons in the Municipality of Odense in 1972]. | 3 |
| 20 | 133-Xe clearance from musculus quadriceps femoris during concentric and eccentric bicycle exercise at different temperatures and loads. | 4 |
About Birgitte Nielsen
Birgitte Nielsen is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Ophthalmology, having authored 22 papers that have together received 346 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (6 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Biophysics (32 citations), Ophthalmology (48 citations) and Radiology, Nuclear Medicine and Imaging (108 citations). Birgitte Nielsen has collaborated with scholars based in Norway, Denmark and United Kingdom. Frequent co-authors include Håvard E. Danielsen, Fritz Albregtsen, Søren Solborg Bjerrum, Morten la Cour, Mark Alberti, Jeppe Romme Christensen, Lars Börnsen, Finn Sellebjerg, Rikke Ratzer and Wanja Kildal. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Frontiers in Immunology.
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.