Nick Weiss
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Biophysics top 5%
- Oncology
- Co-authors
- Anil RaoDaniel RueckertJohannes LotzAndré HomeyerJeroen van der LaakGeert LitjensRob van de LooHorst K. Hahn
- Topics
- AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Artificial Intelligence in Healthcare and Education (4 papers)
- Partner nations
- GermanyNetherlandsSweden
In The Last Decade
Nick Weiss
16 papers receiving 347 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 176
- Radiology, Nuclear Medicine and Imaging 151
- Computer Vision and Pattern Recognition 104
- Biophysics 53
- Oncology 49
Countries citing papers authored by Nick Weiss
This map shows the geographic impact of Nick Weiss'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 Nick Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Weiss more than expected).
Fields of papers citing papers by Nick Weiss
This network shows the impact of papers produced by Nick Weiss. 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 Nick Weiss. The network helps show where Nick Weiss may publish in the future.
Co-authorship network of co-authors of Nick Weiss
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Weiss. A scholar is included among the top collaborators of Nick Weiss 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 Nick Weiss. Nick Weiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 22 | |
| 9 | 24 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 101 | |
| 13 | 49 | |
| 14 | 20 | |
| 15 | 11 | |
| 16 | 57 |
About Nick Weiss
Nick Weiss is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 16 papers that have together received 353 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (31 citations), Biophysics (53 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Nick Weiss has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Anil Rao, Daniel Rueckert, Johannes Lotz, André Homeyer, Jeroen van der Laak, Geert Litjens, Rob van de Loo, Horst K. Hahn, Péter Bándi and Christina Hulsbergen‐van de Kaa. Their work appears in journals such as Scientific Reports, American Journal Of Pathology and European 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.