Marlou Lasschuijt
About
In The Last Decade
Marlou Lasschuijt
21 papers receiving 368 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marlou Lasschuijt Netherlands | 11 | 214 | 148 | 95 | 82 | 69 | 24 | 372 | ||
| Emma J. Bertenshaw United Kingdom | 11 | 164 0.8× | 142 1.0× | 116 1.2× | 84 1.0× | 102 1.5× | 15 | 462 | ||
| Sofia Bouhlal United States | 12 | 198 0.9× | 106 0.7× | 180 1.9× | 67 0.8× | 101 1.5× | 20 | 538 | ||
| P.S. Hogenkamp Netherlands | 10 | 202 0.9× | 114 0.8× | 265 2.8× | 133 1.6× | 118 1.7× | 13 | 514 | ||
| Una Masic United Kingdom | 12 | 100 0.5× | 114 0.8× | 147 1.5× | 61 0.7× | 23 0.3× | 22 | 431 | ||
| Femke Rutters Netherlands | 3 | 168 0.8× | 116 0.8× | 91 1.0× | 43 0.5× | 141 2.0× | 5 | 374 | ||
| Pey Sze Teo Singapore | 15 | 323 1.5× | 56 0.4× | 178 1.9× | 113 1.4× | 90 1.3× | 26 | 503 | ||
| T. Thaler Switzerland | 6 | 119 0.6× | 85 0.6× | 130 1.4× | 160 2.0× | 50 0.7× | 8 | 341 | ||
| Alexandra Bédard Canada | 16 | 289 1.4× | 118 0.8× | 91 1.0× | 83 1.0× | 161 2.3× | 36 | 574 | ||
| Laura L. Wilkinson United Kingdom | 13 | 252 1.2× | 324 2.2× | 93 1.0× | 161 2.0× | 57 0.8× | 31 | 591 | ||
| Sue Baic United Kingdom | 5 | 140 0.7× | 44 0.3× | 156 1.6× | 47 0.6× | 126 1.8× | 6 | 397 |
Countries citing papers authored by Marlou Lasschuijt
This map shows the geographic impact of Marlou Lasschuijt'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 Marlou Lasschuijt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlou Lasschuijt more than expected).
Fields of papers citing papers by Marlou Lasschuijt
This network shows the impact of papers produced by Marlou Lasschuijt. 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 Marlou Lasschuijt. The network helps show where Marlou Lasschuijt may publish in the future.
Co-authorship network of co-authors of Marlou Lasschuijt
This figure shows the co-authorship network connecting the top 25 collaborators of Marlou Lasschuijt. A scholar is included among the top collaborators of Marlou Lasschuijt 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 Marlou Lasschuijt. Marlou Lasschuijt 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.