Inga Strümke
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Explainable Artificial Intelligence (XAI) 16
- Adversarial Robustness in Machine Learning 4
- Reinforcement Learning in Robotics 4
- Anomaly Detection Techniques and Applications 3
- Machine Learning in Healthcare 3
- Bayesian Modeling and Causal Inference 3
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Michael A. Riegler (13 shared papers)Pål Halvorsen (12 shared papers)Steven A. Hicks (10 shared papers)Sravanthi Parasa (4 shared papers)Vajira Thambawita (5 shared papers)Malek Hammou (3 shared papers)Vajira Thambawita (2 shared papers)Vince I. Madai (3 shared papers)
- Journals
- Scientific Reports (6 papers)Applied Intelligence (1 paper)PeerJ Computer Science (1 paper)Computers in Biology and Medicine (1 paper)Neurocomputing (1 paper)
- Partner nations
- NorwayUnited StatesGermany
In The Last Decade
Inga Strümke
33 papers receiving 970 citations
Inga Strümke's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 117
- Health Information Management 46
- Artificial Intelligence 252
- Radiology, Nuclear Medicine and Imaging 141
- Family Practice 9
Countries citing papers authored by Inga Strümke
This map shows the geographic impact of Inga Strümke'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 Inga Strümke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inga Strümke more than expected).
Fields of papers citing papers by Inga Strümke
This network shows the impact of papers produced by Inga Strümke. 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 Inga Strümke. The network helps show where Inga Strümke may publish in the future.
Co-authors
The 25 scholars most cited alongside Inga Strümke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On evaluation metrics for medical applications of artificial intelligence Hit paper breakdown → | 2022 | 518 |
| 2 | 2022 | 129 | |
| 3 | 2021 | 78 | |
| 4 | 2021 | 60 | |
| 5 | 2021 | 47 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2025 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2025 | 3 |
About Inga Strümke
Inga Strümke is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 990 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (16 papers), Adversarial Robustness in Machine Learning (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Reinforcement Learning in Robotics (4 papers), Anomaly Detection Techniques and Applications (3 papers), Machine Learning in Healthcare (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (117 citations), Health Information Management (46 citations), Artificial Intelligence (252 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Family Practice (9 citations). Inga Strümke has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Michael A. Riegler, Pål Halvorsen, Steven A. Hicks, Sravanthi Parasa, Vajira Thambawita, Malek Hammou, Vajira Thambawita, Vince I. Madai, Anastasios M. Lekkas and Sune Holm. Their work appears in journals such as Scientific Reports, Applied Intelligence, PeerJ Computer Science, Computers in Biology and Medicine and Neurocomputing.
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.