Tom de Groot
About
In The Last Decade
Tom de Groot
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 49
- Infectious Diseases 323
- Virology 312
- Epidemiology 60
- Molecular Biology 43
- Hepatology 26
Countries citing papers authored by Tom de Groot
This map shows the geographic impact of Tom de Groot'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 Tom de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom de Groot more than expected).
Fields of papers citing papers by Tom de Groot
This network shows the impact of papers produced by Tom de Groot. 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 Tom de Groot. The network helps show where Tom de Groot may publish in the future.
Co-authorship network of co-authors of Tom de Groot
This figure shows the co-authorship network connecting the top 25 collaborators of Tom de Groot. A scholar is included among the top collaborators of Tom de Groot 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 Tom de Groot. Tom de Groot 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 | 10 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 83 | |
| 8 | 161 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | 90 |
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.