Viktória Tamás
About
In The Last Decade
Viktória Tamás
5 papers receiving 67 citations
Peers
Comparison fields: 5 of 51
- Epidemiology 27
- Neurology 26
- Emergency Medicine 16
- Surgery 10
- Radiology, Nuclear Medicine and Imaging 9
Countries citing papers authored by Viktória Tamás
This map shows the geographic impact of Viktória Tamás'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 Viktória Tamás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktória Tamás more than expected).
Fields of papers citing papers by Viktória Tamás
This network shows the impact of papers produced by Viktória Tamás. 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 Viktória Tamás. The network helps show where Viktória Tamás may publish in the future.
Co-authorship network of co-authors of Viktória Tamás
This figure shows the co-authorship network connecting the top 25 collaborators of Viktória Tamás. A scholar is included among the top collaborators of Viktória Tamás 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 Viktória Tamás. Viktória Tamás 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 | 5 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 0 | |
| 7 | 26 |
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.