Wannes Heirman
About
In The Last Decade
Wannes Heirman
34 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wannes Heirman Belgium | 19 | 897 | 677 | 522 | 394 | 351 | 36 | 1.6k | ||
| Ruth Festl Germany | 20 | 1.1k 1.3× | 656 1.0× | 441 0.8× | 252 0.6× | 127 0.4× | 40 | 1.6k | ||
| David Šmahel Czechia | 21 | 1.5k 1.7× | 1.1k 1.7× | 541 1.0× | 557 1.4× | 229 0.7× | 99 | 2.4k | ||
| Elisabeth Staksrud Norway | 18 | 1.1k 1.2× | 914 1.4× | 311 0.6× | 565 1.4× | 197 0.6× | 54 | 1.6k | ||
| Hana Macháčková Czechia | 20 | 815 0.9× | 719 1.1× | 826 1.6× | 279 0.7× | 110 0.3× | 62 | 1.6k | ||
| Anke Görzig United Kingdom | 19 | 904 1.0× | 997 1.5× | 796 1.5× | 458 1.2× | 259 0.7× | 43 | 1.9k | ||
| Juan Manuel Machimbarrena Spain | 21 | 645 0.7× | 609 0.9× | 597 1.1× | 151 0.4× | 138 0.4× | 69 | 1.4k | ||
| Jochen Peter Netherlands | 11 | 1.5k 1.7× | 837 1.2× | 418 0.8× | 773 2.0× | 146 0.4× | 28 | 2.0k | ||
| Lenka Dědková Czechia | 14 | 607 0.7× | 607 0.9× | 527 1.0× | 231 0.6× | 84 0.2× | 47 | 1.1k | ||
| Diana Rieger Germany | 22 | 941 1.0× | 137 0.2× | 439 0.8× | 338 0.9× | 208 0.6× | 82 | 1.6k | ||
| Ágnes Zsila Hungary | 16 | 1.2k 1.4× | 514 0.8× | 291 0.6× | 207 0.5× | 214 0.6× | 57 | 1.6k |
Countries citing papers authored by Wannes Heirman
This map shows the geographic impact of Wannes Heirman'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 Wannes Heirman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wannes Heirman more than expected).
Fields of papers citing papers by Wannes Heirman
This network shows the impact of papers produced by Wannes Heirman. 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 Wannes Heirman. The network helps show where Wannes Heirman may publish in the future.
Co-authorship network of co-authors of Wannes Heirman
This figure shows the co-authorship network connecting the top 25 collaborators of Wannes Heirman. A scholar is included among the top collaborators of Wannes Heirman 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 Wannes Heirman. Wannes Heirman 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.