Sebastian Marschner
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Radiation top 10%
- Oncology
- Biomedical Engineering
- Co-authors
- Claus BelkaMaximilian NiyaziFranziska WalterChukwuka EzeOlarn RoengvoraphojGuillaume LandryStefanie CorradiniNathalie L. Albert
- Topics
- Radiomics and Machine Learning in Medical Imaging (14 papers)Advanced Radiotherapy Techniques (14 papers)Lung Cancer Diagnosis and Treatment (11 papers)
- Journals
- Scientific ReportsInternational Journal of Radiation Oncology*Biology*PhysicsEuropean Journal of Cancer
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Sebastian Marschner
30 papers receiving 336 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 179
- Pulmonary and Respiratory Medicine 121
- Radiation 72
- Oncology 51
- Biomedical Engineering 51
Countries citing papers authored by Sebastian Marschner
This map shows the geographic impact of Sebastian Marschner'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 Sebastian Marschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Marschner more than expected).
Fields of papers citing papers by Sebastian Marschner
This network shows the impact of papers produced by Sebastian Marschner. 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 Sebastian Marschner. The network helps show where Sebastian Marschner may publish in the future.
Co-authorship network of co-authors of Sebastian Marschner
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Marschner. A scholar is included among the top collaborators of Sebastian Marschner 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 Sebastian Marschner. Sebastian Marschner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 24 | |
| 19 | 5 | |
| 20 | 4 |
About Sebastian Marschner
Sebastian Marschner is a scholar working on Health Informatics, Radiation and Otorhinolaryngology, having authored 38 papers that have together received 340 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced Radiotherapy Techniques (14 papers) and Lung Cancer Diagnosis and Treatment (11 papers). The work is most often cited by research in Health Informatics (14 citations), Otorhinolaryngology (43 citations) and Radiation (72 citations). Sebastian Marschner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Claus Belka, Maximilian Niyazi, Franziska Walter, Chukwuka Eze, Olarn Roengvoraphoj, Guillaume Landry, Stefanie Corradini, Nathalie L. Albert, Christopher Kurz and Anca-Ligia Grosu. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and European Journal of Cancer.
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.