Fredrik Löfman
- Radiology, Nuclear Medicine and Imaging top 5%
- Radiation top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Kevin SourisEdmond SterpinDan NguyenLiesbeth VandewinckeleGilmer ValdésSiri WillemsJohn A. LeeAna María Barragán Montero
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Advanced Radiotherapy Techniques (6 papers)Digital Radiography and Breast Imaging (2 papers)
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsPhysics in Medicine and BiologyRadiotherapy and Oncology
- Partner nations
- SwedenUnited StatesBelgium
In The Last Decade
Fredrik Löfman
8 papers receiving 405 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 264
- Radiation 119
- Artificial Intelligence 115
- Biomedical Engineering 81
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Fredrik Löfman
This map shows the geographic impact of Fredrik Löfman'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 Fredrik Löfman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredrik Löfman more than expected).
Fields of papers citing papers by Fredrik Löfman
This network shows the impact of papers produced by Fredrik Löfman. 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 Fredrik Löfman. The network helps show where Fredrik Löfman may publish in the future.
Co-authorship network of co-authors of Fredrik Löfman
This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Löfman. A scholar is included among the top collaborators of Fredrik Löfman 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 Fredrik Löfman. Fredrik Löfman 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 | 2 | |
| 3 | 48 | |
| 4 | 20 | |
| 5 | Artificial intelligence and machine learning for medical imaging: A technology reviewbreakdown → | 236 |
| 6 | 34 | |
| 7 | 72 | |
| 8 | 9 | |
| 9 | 1 |
About Fredrik Löfman
Fredrik Löfman is a scholar working on Health Informatics, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 422 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Radiotherapy Techniques (6 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Health Informatics (70 citations), Radiation (119 citations) and Radiology, Nuclear Medicine and Imaging (264 citations). Fredrik Löfman has collaborated with scholars based in Sweden, United States and Belgium. Frequent co-authors include Kevin Souris, Edmond Sterpin, Dan Nguyen, Liesbeth Vandewinckele, Gilmer Valdés, Siri Willems, John A. Lee, Ana María Barragán Montero, Mats Holmström and Benoît Macq. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Radiotherapy and 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.