Nathan Tsoutzidis
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Oncology
- Artificial Intelligence
- Co-authors
- Philippe LambinFadila ZerkaAkshayaa VaidyanathanRalph T. H. LeijenaarBenjamin MiraglioMarta S. FerreiraWim VosLouis Deprez
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Advanced X-ray and CT Imaging (2 papers)COVID-19 diagnosis using AI (1 paper)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- NetherlandsBelgium
In The Last Decade
Nathan Tsoutzidis
3 papers receiving 193 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Radiology, Nuclear Medicine and Imaging 157
- Pulmonary and Respiratory Medicine 63
- Biomedical Engineering 43
- Oncology 29
- Artificial Intelligence 21
Countries citing papers authored by Nathan Tsoutzidis
This map shows the geographic impact of Nathan Tsoutzidis'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 Nathan Tsoutzidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Tsoutzidis more than expected).
Fields of papers citing papers by Nathan Tsoutzidis
This network shows the impact of papers produced by Nathan Tsoutzidis. 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 Nathan Tsoutzidis. The network helps show where Nathan Tsoutzidis may publish in the future.
Co-authorship network of co-authors of Nathan Tsoutzidis
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Tsoutzidis. A scholar is included among the top collaborators of Nathan Tsoutzidis 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 Nathan Tsoutzidis. Nathan Tsoutzidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A review in radiomics: Making personalized medicine a reality via routine imagingbreakdown → | 192 |
| 2 | 1 | |
| 3 | 1 |
About Nathan Tsoutzidis
Nathan Tsoutzidis is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence, having authored 3 papers that have together received 194 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Pulmonary and Respiratory Medicine (63 citations). Nathan Tsoutzidis has collaborated with scholars based in Netherlands and Belgium. Frequent co-authors include Philippe Lambin, Fadila Zerka, Akshayaa Vaidyanathan, Ralph T. H. Leijenaar, Benjamin Miraglio, Marta S. Ferreira, Wim Vos, Louis Deprez, Seán Walsh and Anne-Noëlle Frix. Their work appears in journals such as Annals of Oncology and Medicinal Research Reviews.
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.