Nick Weiss
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 10
-
- Medical Image Segmentation Techniques 3
- Image Retrieval and Classification Techniques 2
- Co-authors
- Johannes Lotz (8 shared papers)Anil Rao (1 shared paper)Daniel Rueckert (1 shared paper)André Homeyer (8 shared papers)Jeroen van der Laak (4 shared papers)Rob van de Loo (2 shared papers)Horst K. Hahn (3 shared papers)Geert Litjens (2 shared papers)
- Journals
- Computerized Medical Imaging and Graphics (2 papers)Journal of Pathology Informatics (2 papers)Diagnostic Pathology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- GermanyNetherlandsSweden
In The Last Decade
Nick Weiss
20 papers receiving 410 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 30
- Biophysics 57
- Radiology, Nuclear Medicine and Imaging 146
- Artificial Intelligence 197
- Computer Vision and Pattern Recognition 119
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-authors
The 25 scholars most cited alongside Nick Weiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2013 | 69 | |
| 3 | 2018 | 59 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2018 | 20 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Nick Weiss
Nick Weiss is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 21 papers that have together received 415 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Medical Image Segmentation Techniques (3 papers), Transcranial Magnetic Stimulation Studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Health Informatics (30 citations), Biophysics (57 citations), Radiology, Nuclear Medicine and Imaging (146 citations), Artificial Intelligence (197 citations) and Computer Vision and Pattern Recognition (119 citations). Nick Weiss has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Johannes Lotz, Anil Rao, Daniel Rueckert, André Homeyer, Jeroen van der Laak, Rob van de Loo, Horst K. Hahn, Geert Litjens, Wouter Bulten and Péter Bándi. Their work appears in journals such as Computerized Medical Imaging and Graphics, Journal of Pathology Informatics, Diagnostic Pathology, Computer Methods and Programs in Biomedicine and Disease Models & Mechanisms.
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.