Stephan Mittermeyer
About
In The Last Decade
Stephan Mittermeyer
6 papers receiving 344 citations
Peers
Comparison fields: 5 of 65
- Genetics 140
- Cellular and Molecular Neuroscience 86
- Neurology 85
- Radiology, Nuclear Medicine and Imaging 83
- Biomaterials 70
Countries citing papers authored by Stephan Mittermeyer
This map shows the geographic impact of Stephan Mittermeyer'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 Stephan Mittermeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Mittermeyer more than expected).
Fields of papers citing papers by Stephan Mittermeyer
This network shows the impact of papers produced by Stephan Mittermeyer. 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 Stephan Mittermeyer. The network helps show where Stephan Mittermeyer may publish in the future.
Co-authorship network of co-authors of Stephan Mittermeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Mittermeyer. A scholar is included among the top collaborators of Stephan Mittermeyer 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 Stephan Mittermeyer. Stephan Mittermeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 26 | |
| 3 | 21 | |
| 4 | 54 | |
| 5 | 41 | |
| 6 | 198 |
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.