Randi Gullien
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 12
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- Digital Radiography and Breast Imaging 12
- Co-authors
- Per SkaaneSolveig HofvindAndriy I. BandosEllen B. EbenDavid GurLoren T. NiklasonBjørn Helge ØsteråsSofie Sebuødegård
- Journals
- Radiology (5 papers)Acta Radiologica (2 papers)European Radiology (2 papers)Physics in Medicine and Biology (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- NorwayUnited StatesUnited Kingdom
In The Last Decade
Randi Gullien
13 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 39
- Pulmonary and Respiratory Medicine 1.4k
- Radiology, Nuclear Medicine and Imaging 910
- Artificial Intelligence 1.2k
- Oncology 582
- Cancer Research 212
Countries citing papers authored by Randi Gullien
This map shows the geographic impact of Randi Gullien'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 Randi Gullien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randi Gullien more than expected).
Fields of papers citing papers by Randi Gullien
This network shows the impact of papers produced by Randi Gullien. 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 Randi Gullien. The network helps show where Randi Gullien may publish in the future.
Co-authors
The 25 scholars most cited alongside Randi Gullien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 116 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 100 | |
| 6 | 2018 | 94 | |
| 7 | 2017 | 17 | |
| 8 | 2015 | 17 | |
| 9 | 2014 | 230 | |
| 10 | 2014 | 57 | |
| 11 | 2013 | 170 | |
| 12 | Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program Hit paper breakdown → | 2013 | 720 |
| 13 | 2012 | 108 |
About Randi Gullien
Randi Gullien is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (12 papers), Global Cancer Incidence and Screening (9 papers), Breast Cancer Treatment Studies (2 papers), Medical Imaging Techniques and Applications (2 papers), Breast Lesions and Carcinomas (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Radiology, Nuclear Medicine and Imaging (910 citations), Artificial Intelligence (1.2k citations), Oncology (582 citations) and Cancer Research (212 citations). Randi Gullien has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Per Skaane, Solveig Hofvind, Andriy I. Bandos, Ellen B. Eben, David Gur, Loren T. Niklason, Bjørn Helge Østerås, Sofie Sebuødegård, Anne Catrine Trægde Martinsen and Hilde Bjørndal. Their work appears in journals such as Radiology, Acta Radiologica, European Radiology, Physics in Medicine and Biology and Breast Cancer Research and Treatment.
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.