Michael Püsken
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 5
- Radiation Dose and Imaging 3
- MRI in cancer diagnosis 2
-
- Lung Cancer Diagnosis and Treatment 4
- Digital Radiography and Breast Imaging 3
- Co-authors
- David Maintz (10 shared papers)Bettina Baeßler (2 shared papers)Stephanie Sauer (1 shared paper)Daniel Pinto dos Santos (1 shared paper)Roman Kloeckner (1 shared paper)Aline Mähringer‐Kunz (1 shared paper)Mohammad Hosein Rezazade Mehrizi (1 shared paper)Thomas Dratsch (1 shared paper)
- Journals
- European Journal of Radiology (3 papers)Scientific Reports (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Investigative Radiology (1 paper)Clinical Radiology (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Michael Püsken
17 papers receiving 420 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 85
- Radiology, Nuclear Medicine and Imaging 321
- Family Practice 14
- Artificial Intelligence 105
- Pulmonary and Respiratory Medicine 100
Countries citing papers authored by Michael Püsken
This map shows the geographic impact of Michael Püsken'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 Michael Püsken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Püsken more than expected).
Fields of papers citing papers by Michael Püsken
This network shows the impact of papers produced by Michael Püsken. 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 Michael Püsken. The network helps show where Michael Püsken may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Püsken, 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 | 125 | |
| 2 | 2009 | 115 | |
| 3 | 2007 | 84 | |
| 4 | 2016 | 19 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2008 | 9 | |
| 10 | 2009 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 1 |
About Michael Püsken
Michael Püsken is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Artificial Intelligence and Surgery, having authored 17 papers that have together received 436 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Digital Radiography and Breast Imaging (3 papers), AI in cancer detection (3 papers), Radiation Dose and Imaging (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Health Informatics (85 citations), Radiology, Nuclear Medicine and Imaging (321 citations), Family Practice (14 citations), Artificial Intelligence (105 citations) and Pulmonary and Respiratory Medicine (100 citations). Michael Püsken has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include David Maintz, Bettina Baeßler, Stephanie Sauer, Daniel Pinto dos Santos, Roman Kloeckner, Aline Mähringer‐Kunz, Mohammad Hosein Rezazade Mehrizi, Thomas Dratsch, Walter Heindel and Susanne Wienbeck. Their work appears in journals such as European Journal of Radiology, Scientific Reports, IEEE Journal of Selected Topics in Signal Processing, Investigative Radiology and Clinical Radiology.
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.