Christian Erdmann
About
In The Last Decade
Christian Erdmann
6 papers receiving 236 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 207
- Biomedical Engineering 110
- Molecular Biology 41
- Radiology, Nuclear Medicine and Imaging 33
- Epidemiology 31
Countries citing papers authored by Christian Erdmann
This map shows the geographic impact of Christian Erdmann'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 Christian Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Erdmann more than expected).
Fields of papers citing papers by Christian Erdmann
This network shows the impact of papers produced by Christian Erdmann. 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 Christian Erdmann. The network helps show where Christian Erdmann may publish in the future.
Co-authorship network of co-authors of Christian Erdmann
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Erdmann. A scholar is included among the top collaborators of Christian Erdmann 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 Christian Erdmann. Christian Erdmann 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 | 11 | |
| 3 | 38 | |
| 4 | 2 | |
| 5 | 176 | |
| 6 | 9 |
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.