Markus Plass
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 8
- Artificial Intelligence top 5%
- AI in cancer detection 7
- Explainable Artificial Intelligence (XAI) 3
- Biophysics top 5%
- Cell Image Analysis Techniques 3
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- Radiomics and Machine Learning in Medical Imaging 8
- Health Information Management top 10%
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- Colorectal Cancer Screening and Detection 4
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- Research Data Management Practices 4
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- Scientific Computing and Data Management 4
Markus Plass
22 papers receiving 672 citations
Peers
Comparison fields: 5 of 124
- Health Informatics 148
- Artificial Intelligence 407
- Biophysics 50
- Radiology, Nuclear Medicine and Imaging 187
- Health Information Management 25
Countries citing papers authored by Markus Plass
This map shows the geographic impact of Markus Plass'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 Markus Plass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Plass more than expected).
Fields of papers citing papers by Markus Plass
This network shows the impact of papers produced by Markus Plass. 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 Markus Plass. The network helps show where Markus Plass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Plass, 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 | 2026 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 45 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 31 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 52 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 78 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 1 | |
| 20 | Interactive Machine Learning (iML): a challenge for Game-based approaches | 2016 | 1 |
About Markus Plass
Markus Plass is a scholar working on Health Informatics, Information Systems and Management and Biophysics, having authored 24 papers that have together received 702 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), AI in cancer detection (7 papers), Colorectal Cancer Screening and Detection (4 papers), Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (148 citations), Artificial Intelligence (407 citations) and Biophysics (50 citations). Markus Plass has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Stephan Jahn, Farid Moinfar, Andreas Holzinger, Heimo Müller, Michaela Kargl, Vasile Palade, Katharina Holzinger, Gloria Cerasela Crişan, Camelia-M. Pintea and Michael Kickmeier-Rust. Their work appears in journals such as New Biotechnology, Artificial Intelligence in Medicine, JAMA Network Open, Cancer Research and Journal of Clinical 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.