Marí van de Vyver
About
In The Last Decade
Marí van de Vyver
43 papers receiving 527 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marí van de Vyver South Africa | 13 | 203 | 147 | 134 | 90 | 88 | 46 | 532 | ||
| Gereon Lauer Germany | 8 | 213 1.0× | 43 0.3× | 142 1.1× | 51 0.6× | 79 0.9× | 11 | 597 | ||
| Jennifer Bermick United States | 13 | 248 1.2× | 61 0.4× | 205 1.5× | 135 1.5× | 39 0.4× | 32 | 776 | ||
| João Moura Portugal | 11 | 300 1.5× | 85 0.6× | 133 1.0× | 211 2.3× | 29 0.3× | 18 | 644 | ||
| Courtney Y. Kauh United States | 6 | 296 1.5× | 63 0.4× | 102 0.8× | 253 2.8× | 53 0.6× | 10 | 754 | ||
| Alexandra Martin United States | 7 | 133 0.7× | 47 0.3× | 168 1.3× | 80 0.9× | 94 1.1× | 12 | 512 | ||
| Ludwik K. Branski United States | 11 | 265 1.3× | 89 0.6× | 101 0.8× | 34 0.4× | 26 0.3× | 28 | 542 | ||
| Pihong Zhang China | 16 | 253 1.2× | 61 0.4× | 273 2.0× | 92 1.0× | 28 0.3× | 53 | 711 | ||
| Huinan Yin China | 14 | 230 1.1× | 201 1.4× | 406 3.0× | 20 0.2× | 59 0.7× | 35 | 775 | ||
| Michele Rosario Colonna Italy | 17 | 343 1.7× | 53 0.4× | 196 1.5× | 91 1.0× | 37 0.4× | 72 | 1.1k | ||
| Pijus Barman United States | 10 | 122 0.6× | 40 0.3× | 152 1.1× | 65 0.7× | 49 0.6× | 11 | 761 |
Countries citing papers authored by Marí van de Vyver
This map shows the geographic impact of Marí van de Vyver'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 Marí van de Vyver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marí van de Vyver more than expected).
Fields of papers citing papers by Marí van de Vyver
This network shows the impact of papers produced by Marí van de Vyver. 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 Marí van de Vyver. The network helps show where Marí van de Vyver may publish in the future.
Co-authorship network of co-authors of Marí van de Vyver
This figure shows the co-authorship network connecting the top 25 collaborators of Marí van de Vyver. A scholar is included among the top collaborators of Marí van de Vyver 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 Marí van de Vyver. Marí van de Vyver 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.