Kees Weijer
About
In The Last Decade
Kees Weijer
82 papers receiving 5.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kees Weijer Netherlands | 40 | 4.0k | 988 | 927 | 821 | 796 | 84 | 5.7k | ||
| Sophie Caillat‐Zucman France | 50 | 4.1k 1.0× | 1.3k 1.3× | 1.2k 1.3× | 1.3k 1.6× | 1.6k 2.0× | 191 | 7.8k | ||
| Gary S. Gray United States | 27 | 3.2k 0.8× | 1.2k 1.2× | 578 0.6× | 1.0k 1.2× | 490 0.6× | 36 | 5.4k | ||
| Elisabeth H. Weiss Germany | 44 | 3.9k 1.0× | 1.4k 1.4× | 371 0.4× | 549 0.7× | 463 0.6× | 133 | 5.9k | ||
| Sem Saeland France | 40 | 6.8k 1.7× | 1.4k 1.4× | 342 0.4× | 1.2k 1.4× | 298 0.4× | 74 | 8.7k | ||
| I L Weissman United States | 37 | 3.4k 0.8× | 1.8k 1.8× | 319 0.3× | 1.3k 1.6× | 733 0.9× | 61 | 6.4k | ||
| Hanspeter Pircher Switzerland | 43 | 6.4k 1.6× | 953 1.0× | 436 0.5× | 1.3k 1.6× | 1.1k 1.4× | 87 | 8.0k | ||
| Bruce Gott United States | 19 | 1.9k 0.5× | 1.0k 1.1× | 507 0.5× | 1.1k 1.3× | 873 1.1× | 23 | 3.9k | ||
| Joël Plumas France | 37 | 3.7k 0.9× | 1.2k 1.2× | 310 0.3× | 1.1k 1.3× | 272 0.3× | 104 | 5.4k | ||
| Claudia Benike United States | 28 | 4.9k 1.2× | 1.6k 1.7× | 459 0.5× | 1.8k 2.2× | 335 0.4× | 50 | 6.3k | ||
| Magdalena Tary‐Lehmann United States | 37 | 2.9k 0.7× | 628 0.6× | 618 0.7× | 487 0.6× | 328 0.4× | 81 | 4.6k |
Countries citing papers authored by Kees Weijer
This map shows the geographic impact of Kees Weijer'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 Kees Weijer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees Weijer more than expected).
Fields of papers citing papers by Kees Weijer
This network shows the impact of papers produced by Kees Weijer. 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 Kees Weijer. The network helps show where Kees Weijer may publish in the future.
Co-authorship network of co-authors of Kees Weijer
This figure shows the co-authorship network connecting the top 25 collaborators of Kees Weijer. A scholar is included among the top collaborators of Kees Weijer 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 Kees Weijer. Kees Weijer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.