Niels Olson
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 3
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- Infection Control and Ventilation 1
- Co-authors
- Lily H. Peng (3 shared papers)Yun Liu (3 shared papers)Arash Mohtashamian (3 shared papers)Jenny L. Smith (2 shared papers)Jason Hipp (2 shared papers)Martin C. Stumpe (2 shared papers)Mohammad Norouzi (1 shared paper)Timo Kohlberger (1 shared paper)
- Journals
- Archives of Pathology & Laboratory Medicine (2 papers)Scientific Reports (1 paper)SLEEP (1 paper)Journal of Pathology Informatics (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesAustriaFinland
In The Last Decade
Niels Olson
9 papers receiving 788 citations
Niels Olson's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 135
- Radiology, Nuclear Medicine and Imaging 334
- Artificial Intelligence 458
- Biophysics 63
- Health Information Management 33
Countries citing papers authored by Niels Olson
This map shows the geographic impact of Niels Olson'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 Niels Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niels Olson more than expected).
Fields of papers citing papers by Niels Olson
This network shows the impact of papers produced by Niels Olson. 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 Niels Olson. The network helps show where Niels Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Niels Olson, 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 | Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Hit paper breakdown → | 2019 | 333 |
| 2 | 2018 | 282 | |
| 3 | 2021 | 95 | |
| 4 | 2021 | 49 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2024 | 1 |
About Niels Olson
Niels Olson is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 9 papers that have together received 819 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Infection Control and Ventilation (1 paper), Antifungal resistance and susceptibility (1 paper), COVID-19 epidemiological studies (1 paper), COVID-19 and healthcare impacts (1 paper), Sleep and Work-Related Fatigue (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Health Informatics (135 citations), Radiology, Nuclear Medicine and Imaging (334 citations), Artificial Intelligence (458 citations), Biophysics (63 citations) and Health Information Management (33 citations). Niels Olson has collaborated with scholars based in United States, Austria and Finland. Frequent co-authors include Lily H. Peng, Yun Liu, Arash Mohtashamian, Jenny L. Smith, Jason Hipp, Martin C. Stumpe, Mohammad Norouzi, Timo Kohlberger, George E. Dahl and Po-Hsuan Cameron Chen. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Scientific Reports, SLEEP, Journal of Pathology Informatics and npj Digital Medicine.
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.