Till Döhmen
About
In The Last Decade
Till Döhmen
9 papers receiving 196 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 137
- Artificial Intelligence 120
- Health Informatics 54
- Rheumatology 19
- Computer Vision and Pattern Recognition 17
Countries citing papers authored by Till Döhmen
This map shows the geographic impact of Till Döhmen'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 Till Döhmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Till Döhmen more than expected).
Fields of papers citing papers by Till Döhmen
This network shows the impact of papers produced by Till Döhmen. 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 Till Döhmen. The network helps show where Till Döhmen may publish in the future.
Co-authorship network of co-authors of Till Döhmen
This figure shows the co-authorship network connecting the top 25 collaborators of Till Döhmen. A scholar is included among the top collaborators of Till Döhmen 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 Till Döhmen. Till Döhmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 39 | |
| 7 | DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images | 44 |
| 8 | 96 | |
| 9 | 11 | |
| 10 | 3 |
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.