René van Schaik
About
In The Last Decade
René van Schaik
5 papers receiving 276 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 215
- Computational Theory and Mathematics 61
- Spectroscopy 59
- Artificial Intelligence 31
- Rheumatology 27
Countries citing papers authored by René van Schaik
This map shows the geographic impact of René van Schaik'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 René van Schaik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René van Schaik more than expected).
Fields of papers citing papers by René van Schaik
This network shows the impact of papers produced by René van Schaik. 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 René van Schaik. The network helps show where René van Schaik may publish in the future.
Co-authorship network of co-authors of René van Schaik
This figure shows the co-authorship network connecting the top 25 collaborators of René van Schaik. A scholar is included among the top collaborators of René van Schaik 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 René van Schaik. René van Schaik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 110 | |
| 3 | 49 | |
| 4 | 108 | |
| 5 | 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.