Maurice Samulski
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Nico KarssemeijerPeter LucasMarina VelikovaC. BoetesGerard J. den HeetenRoel MusRuud M. PijnappelDavid Beijerinck
- Topics
- AI in cancer detection (10 papers)Digital Radiography and Breast Imaging (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- NetherlandsSwitzerlandSweden
In The Last Decade
Maurice Samulski
12 papers receiving 284 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 255
- Radiology, Nuclear Medicine and Imaging 159
- Computer Vision and Pattern Recognition 94
- Pulmonary and Respiratory Medicine 66
- Molecular Biology 37
Countries citing papers authored by Maurice Samulski
This map shows the geographic impact of Maurice Samulski'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 Maurice Samulski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Samulski more than expected).
Fields of papers citing papers by Maurice Samulski
This network shows the impact of papers produced by Maurice Samulski. 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 Maurice Samulski. The network helps show where Maurice Samulski may publish in the future.
Co-authorship network of co-authors of Maurice Samulski
This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Samulski. A scholar is included among the top collaborators of Maurice Samulski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maurice Samulski. Maurice Samulski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 48 | |
| 3 | 23 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 57 | |
| 7 | 11 | |
| 8 | 49 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 4 |
About Maurice Samulski
Maurice Samulski is a scholar working on Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 303 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Digital Radiography and Breast Imaging (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (18 citations), Artificial Intelligence (255 citations) and Radiology, Nuclear Medicine and Imaging (159 citations). Maurice Samulski has collaborated with scholars based in Netherlands, Switzerland and Sweden. Frequent co-authors include Nico Karssemeijer, Peter Lucas, Marina Velikova, C. Boetes, Gerard J. den Heeten, Roel Mus, Ruud M. Pijnappel, David Beijerinck, Marc B. I. Lobbes and Ritse M. Mann. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.
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.