Dominik Müller
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 10
- COVID-19 diagnosis using AI 4
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- Brain Tumor Detection and Classification 4
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- Digital Imaging for Blood Diseases 2
- Medical Image Segmentation Techniques 2
- Artificial Intelligence top 10%
- AI in cancer detection 6
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Co-authors
- Frank KrämerIñaki Soto‐ReyFlorian AuerPhilip MeyerRamón TornéSantiago CepedaIgnacio ArreseSergio García-García
- Partner nations
- GermanySpainUnited States
In The Last Decade
Dominik Müller
11 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 270
- Neurology 63
- Computer Vision and Pattern Recognition 141
- Artificial Intelligence 173
Countries citing papers authored by Dominik Müller
This map shows the geographic impact of Dominik Müller'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 Dominik Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Müller more than expected).
Fields of papers citing papers by Dominik Müller
This network shows the impact of papers produced by Dominik Müller. 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 Dominik Müller. The network helps show where Dominik Müller may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Dominik Müller, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | Towards a guideline for evaluation metrics in medical image segmentationbreakdown → | 2022 | 281 |
| 9 | 2022 | 1 | |
| 10 | 2022 | 59 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 91 | |
| 15 | 2021 | 71 | |
| 16 | 2021 | 4 |
About Dominik Müller
Dominik Müller is a scholar working on Health Informatics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 540 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (6 papers), Brain Tumor Detection and Classification (4 papers), COVID-19 diagnosis using AI (4 papers), Digital Imaging for Blood Diseases (2 papers), Medical Image Segmentation Techniques (2 papers), Bioinformatics and Genomic Networks (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Neurology (63 citations). Dominik Müller has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Frank Krämer, Iñaki Soto‐Rey, Florian Auer, Philip Meyer, Ramón Torné, Santiago Cepeda, Ignacio Arrese, Sergio García-García, Rosario Sarabia and László Papp. Their work appears in journals such as IEEE Access, BMC Research Notes and Diagnostics.
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.