Daniel Hausrath
About
In The Last Decade
Daniel Hausrath
4 papers receiving 62 citations
Peers
Comparison fields: 5 of 22
- Pulmonary and Respiratory Medicine 46
- Oncology 27
- Molecular Biology 20
- Neurology 15
- Epidemiology 8
Countries citing papers authored by Daniel Hausrath
This map shows the geographic impact of Daniel Hausrath'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 Daniel Hausrath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hausrath more than expected).
Fields of papers citing papers by Daniel Hausrath
This network shows the impact of papers produced by Daniel Hausrath. 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 Daniel Hausrath. The network helps show where Daniel Hausrath may publish in the future.
Co-authorship network of co-authors of Daniel Hausrath
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hausrath. A scholar is included among the top collaborators of Daniel Hausrath 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 Daniel Hausrath. Daniel Hausrath 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 | 2 | |
| 5 | 0 | |
| 6 | 33 | |
| 7 | 11 | |
| 8 | 17 |
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.