Outi Sipilä
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Surgery
- Co-authors
- T. KatilaIsabelle E. MagninPatrick ClarysseQuoc Cuong PhamTeemu MäkeläSauli SavolainenHeikki MäkisaloLinda Kuusela
- Topics
- Advanced MRI Techniques and Applications (11 papers)Medical Image Segmentation Techniques (8 papers)Medical Imaging Techniques and Applications (7 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionCritical Care and Intensive Care Medicine
- Journals
- NeuroImageIEEE Transactions on Medical ImagingEuropean Journal of Nuclear Medicine and Molecular Imaging
- Partner nations
- FinlandFranceSwitzerland
In The Last Decade
Outi Sipilä
26 papers receiving 568 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 377
- Computer Vision and Pattern Recognition 218
- Biomedical Engineering 150
- Cardiology and Cardiovascular Medicine 90
- Surgery 48
Countries citing papers authored by Outi Sipilä
This map shows the geographic impact of Outi Sipilä'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 Outi Sipilä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Outi Sipilä more than expected).
Fields of papers citing papers by Outi Sipilä
This network shows the impact of papers produced by Outi Sipilä. 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 Outi Sipilä. The network helps show where Outi Sipilä may publish in the future.
Co-authorship network of co-authors of Outi Sipilä
This figure shows the co-authorship network connecting the top 25 collaborators of Outi Sipilä. A scholar is included among the top collaborators of Outi Sipilä 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 Outi Sipilä. Outi Sipilä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 55 | |
| 8 | 7 | |
| 9 | 43 | |
| 10 | 35 | |
| 11 | 35 | |
| 12 | 10 | |
| 13 | 247 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | Methodological aspects for improving clinical value of SPECT and MRI | 1 |
| 17 | 19 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 1 |
About Outi Sipilä
Outi Sipilä is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 587 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (377 citations), Computer Vision and Pattern Recognition (218 citations) and Critical Care and Intensive Care Medicine (30 citations). Outi Sipilä has collaborated with scholars based in Finland, France and Switzerland. Frequent co-authors include T. Katila, Isabelle E. Magnin, Patrick Clarysse, Quoc Cuong Pham, Teemu Mäkelä, Sauli Savolainen, Heikki Mäkisalo, Linda Kuusela, Helena Hänninen and Marjut Timonen. Their work appears in journals such as NeuroImage, IEEE Transactions on Medical Imaging and European Journal of Nuclear Medicine and Molecular Imaging.
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.