Harm Hoekstra
About
In The Last Decade
Harm Hoekstra
124 papers receiving 3.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Harm Hoekstra Netherlands | 32 | 1.9k | 753 | 597 | 568 | 378 | 133 | 3.2k | ||
| Christopher J. Palestro United States | 48 | 4.3k 2.3× | 981 1.3× | 559 0.9× | 953 1.7× | 491 1.3× | 237 | 6.8k | ||
| Sven Schmidt Germany | 42 | 1.6k 0.9× | 898 1.2× | 387 0.6× | 536 0.9× | 221 0.6× | 166 | 5.2k | ||
| Emanuela Morenghi Italy | 33 | 1.3k 0.7× | 947 1.3× | 864 1.4× | 1.3k 2.3× | 915 2.4× | 207 | 5.3k | ||
| Philip Robinson United Kingdom | 40 | 1.9k 1.0× | 424 0.6× | 526 0.9× | 905 1.6× | 329 0.9× | 172 | 4.7k | ||
| Hiroyuki Kato Japan | 29 | 1.8k 0.9× | 799 1.1× | 914 1.5× | 947 1.7× | 229 0.6× | 256 | 3.5k | ||
| Michele Bertolotto Italy | 38 | 2.2k 1.1× | 596 0.8× | 206 0.3× | 1.4k 2.5× | 661 1.7× | 209 | 5.5k | ||
| John Buscombe United Kingdom | 34 | 915 0.5× | 1.4k 1.9× | 1.3k 2.2× | 770 1.4× | 175 0.5× | 191 | 3.9k | ||
| Paolo Tomà Italy | 31 | 1.5k 0.8× | 613 0.8× | 398 0.7× | 795 1.4× | 70 0.2× | 205 | 3.5k | ||
| Stefano Colagrande Italy | 33 | 971 0.5× | 1.3k 1.7× | 359 0.6× | 542 1.0× | 1.5k 4.0× | 120 | 3.9k | ||
| Manjiri Dighe United States | 33 | 1.4k 0.7× | 398 0.5× | 227 0.4× | 683 1.2× | 291 0.8× | 163 | 3.7k |
Countries citing papers authored by Harm Hoekstra
This map shows the geographic impact of Harm Hoekstra'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 Harm Hoekstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harm Hoekstra more than expected).
Fields of papers citing papers by Harm Hoekstra
This network shows the impact of papers produced by Harm Hoekstra. 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 Harm Hoekstra. The network helps show where Harm Hoekstra may publish in the future.
Co-authorship network of co-authors of Harm Hoekstra
This figure shows the co-authorship network connecting the top 25 collaborators of Harm Hoekstra. A scholar is included among the top collaborators of Harm Hoekstra 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 Harm Hoekstra. Harm Hoekstra 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.