Catherine Vial
About
In The Last Decade
Catherine Vial
29 papers receiving 2.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Catherine Vial United Kingdom | 24 | 1.5k | 751 | 715 | 505 | 405 | 29 | 2.3k | ||
| S.M.O. Hourani United Kingdom | 25 | 1.4k 0.9× | 592 0.8× | 246 0.3× | 93 0.2× | 336 0.8× | 59 | 1.8k | ||
| Chakib El-Moatassim France | 9 | 1.3k 0.9× | 673 0.9× | 101 0.1× | 26 0.1× | 333 0.8× | 9 | 1.7k | ||
| Alexander W. Lohman United States | 21 | 268 0.2× | 1.4k 1.9× | 196 0.3× | 31 0.1× | 342 0.8× | 31 | 2.2k | ||
| Marian T. Namovic United States | 19 | 1.1k 0.7× | 576 0.8× | 73 0.1× | 20 0.0× | 269 0.7× | 38 | 1.9k | ||
| Klaus Dembowsky Germany | 24 | 65 0.0× | 819 1.1× | 1000 1.4× | 93 0.2× | 774 1.9× | 53 | 2.8k | ||
| Tetsuya Sugiyama Japan | 24 | 311 0.2× | 521 0.7× | 135 0.2× | 17 0.0× | 111 0.3× | 60 | 1.6k | ||
| Scott S. Wildman United Kingdom | 25 | 1.2k 0.8× | 595 0.8× | 116 0.2× | 8 0.0× | 578 1.4× | 45 | 1.8k | ||
| Violeta N. Mutafova–Yambolieva United States | 22 | 726 0.5× | 411 0.5× | 121 0.2× | 9 0.0× | 280 0.7× | 75 | 1.5k | ||
| Omar Touzani France | 25 | 151 0.1× | 538 0.7× | 53 0.1× | 80 0.2× | 66 0.2× | 51 | 1.9k | ||
| Philip A. Nunn United States | 16 | 326 0.2× | 227 0.3× | 17 0.0× | 118 0.2× | 253 0.6× | 28 | 1.1k |
Countries citing papers authored by Catherine Vial
This map shows the geographic impact of Catherine Vial'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 Catherine Vial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Vial more than expected).
Fields of papers citing papers by Catherine Vial
This network shows the impact of papers produced by Catherine Vial. 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 Catherine Vial. The network helps show where Catherine Vial may publish in the future.
Co-authorship network of co-authors of Catherine Vial
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Vial. A scholar is included among the top collaborators of Catherine Vial 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 Catherine Vial. Catherine Vial 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.