Marieke van Rooij
About
In The Last Decade
Marieke van Rooij
28 papers receiving 849 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marieke van Rooij Netherlands | 15 | 176 | 174 | 127 | 122 | 111 | 28 | 865 | ||
| Jinhyuk Kim South Korea | 18 | 287 1.6× | 126 0.7× | 182 1.4× | 46 0.4× | 41 0.4× | 62 | 1.0k | ||
| Michael Coccia United States | 18 | 140 0.8× | 119 0.7× | 56 0.4× | 42 0.3× | 90 0.8× | 39 | 1.6k | ||
| Laura Nynke van der Laan Netherlands | 25 | 359 2.0× | 366 2.1× | 252 2.0× | 40 0.3× | 120 1.1× | 49 | 1.9k | ||
| Ewa Tomczak Poland | 8 | 100 0.6× | 140 0.8× | 24 0.2× | 35 0.3× | 58 0.5× | 15 | 1.0k | ||
| Árpád Csathó Hungary | 20 | 309 1.8× | 348 2.0× | 65 0.5× | 99 0.8× | 72 0.6× | 55 | 1.2k | ||
| Siwei Liu United States | 15 | 321 1.8× | 221 1.3× | 110 0.9× | 64 0.5× | 92 0.8× | 45 | 1.0k | ||
| Martin Šmíra Czechia | 4 | 369 2.1× | 680 3.9× | 86 0.7× | 29 0.2× | 135 1.2× | 6 | 1.7k | ||
| Benjamin Katz United States | 18 | 293 1.7× | 437 2.5× | 62 0.5× | 30 0.2× | 68 0.6× | 52 | 1.0k | ||
| Ravi Selker Netherlands | 9 | 402 2.3× | 728 4.2× | 99 0.8× | 29 0.2× | 145 1.3× | 10 | 1.8k | ||
| Tetsuya Yamamoto Japan | 16 | 136 0.8× | 204 1.2× | 31 0.2× | 25 0.2× | 37 0.3× | 80 | 881 |
Countries citing papers authored by Marieke van Rooij
This map shows the geographic impact of Marieke van Rooij'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 Marieke van Rooij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marieke van Rooij more than expected).
Fields of papers citing papers by Marieke van Rooij
This network shows the impact of papers produced by Marieke van Rooij. 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 Marieke van Rooij. The network helps show where Marieke van Rooij may publish in the future.
Co-authorship network of co-authors of Marieke van Rooij
This figure shows the co-authorship network connecting the top 25 collaborators of Marieke van Rooij. A scholar is included among the top collaborators of Marieke van Rooij 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 Marieke van Rooij. Marieke van Rooij 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.