Victoria Wass
About
In The Last Decade
Victoria Wass
28 papers receiving 491 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Victoria Wass United Kingdom | 16 | 194 | 135 | 127 | 108 | 103 | 31 | 552 | ||
| Paul L. Latreille United Kingdom | 14 | 213 1.1× | 158 1.2× | 122 1.0× | 67 0.6× | 42 0.4× | 38 | 615 | ||
| Lucy Stokes United Kingdom | 10 | 227 1.2× | 90 0.7× | 130 1.0× | 105 1.0× | 40 0.4× | 42 | 550 | ||
| Benjamin Artz United States | 13 | 223 1.1× | 74 0.5× | 128 1.0× | 56 0.5× | 103 1.0× | 46 | 587 | ||
| Therese Jefferson Australia | 14 | 226 1.2× | 161 1.2× | 137 1.1× | 84 0.8× | 110 1.1× | 72 | 601 | ||
| Jeffrey B. Wenger United States | 13 | 155 0.8× | 101 0.7× | 156 1.2× | 133 1.2× | 71 0.7× | 69 | 573 | ||
| Brigid van Wanrooy Australia | 8 | 240 1.2× | 74 0.5× | 178 1.4× | 142 1.3× | 57 0.6× | 16 | 441 | ||
| Karen Mumford United Kingdom | 16 | 236 1.2× | 127 0.9× | 276 2.2× | 153 1.4× | 247 2.4× | 65 | 770 | ||
| Siobhan Austen Australia | 14 | 144 0.7× | 166 1.2× | 187 1.5× | 31 0.3× | 143 1.4× | 68 | 516 | ||
| Nigel Meager United Kingdom | 15 | 126 0.6× | 58 0.4× | 147 1.2× | 54 0.5× | 33 0.3× | 32 | 552 | ||
| Carol Woodhams United Kingdom | 15 | 75 0.4× | 62 0.5× | 211 1.7× | 90 0.8× | 308 3.0× | 24 | 612 |
Countries citing papers authored by Victoria Wass
This map shows the geographic impact of Victoria Wass'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 Victoria Wass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Wass more than expected).
Fields of papers citing papers by Victoria Wass
This network shows the impact of papers produced by Victoria Wass. 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 Victoria Wass. The network helps show where Victoria Wass may publish in the future.
Co-authorship network of co-authors of Victoria Wass
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Wass. A scholar is included among the top collaborators of Victoria Wass 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 Victoria Wass. Victoria Wass 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.