Marie‐Claire Verdus
About
In The Last Decade
Marie‐Claire Verdus
30 papers receiving 426 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marie‐Claire Verdus France | 14 | 228 | 79 | 70 | 67 | 63 | 32 | 454 | ||
| Mauríce Demarty France | 17 | 632 2.8× | 165 2.1× | 52 0.7× | 80 1.2× | 51 0.8× | 34 | 924 | ||
| Josef Weigl Germany | 12 | 257 1.1× | 188 2.4× | 26 0.4× | 70 1.0× | 16 0.3× | 47 | 493 | ||
| Yingchun Mu China | 12 | 52 0.2× | 58 0.7× | 28 0.4× | 113 1.7× | 22 0.3× | 41 | 395 | ||
| Iain E. P. Taylor Canada | 12 | 314 1.4× | 163 2.1× | 20 0.3× | 15 0.2× | 10 0.2× | 29 | 468 | ||
| Monika Kula-Maximenko Poland | 14 | 211 0.9× | 125 1.6× | 22 0.3× | 15 0.2× | 7 0.1× | 38 | 518 | ||
| Alexandre Loguinov United States | 11 | 30 0.1× | 179 2.3× | 13 0.2× | 42 0.6× | 32 0.5× | 12 | 892 | ||
| Diana M. R. Harvey United Kingdom | 15 | 643 2.8× | 273 3.5× | 16 0.2× | 3 0.0× | 17 0.3× | 38 | 900 | ||
| Alexander Vershinin Russia | 7 | 22 0.1× | 120 1.5× | 72 1.0× | 38 0.6× | 11 0.2× | 12 | 331 | ||
| Daniel J. Barta United States | 10 | 605 2.7× | 157 2.0× | 10 0.1× | 66 1.0× | 59 0.9× | 26 | 761 | ||
| G. Dubertret France | 15 | 257 1.1× | 448 5.7× | 60 0.9× | 23 0.3× | 13 0.2× | 25 | 826 |
Countries citing papers authored by Marie‐Claire Verdus
This map shows the geographic impact of Marie‐Claire Verdus'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 Marie‐Claire Verdus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Claire Verdus more than expected).
Fields of papers citing papers by Marie‐Claire Verdus
This network shows the impact of papers produced by Marie‐Claire Verdus. 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 Marie‐Claire Verdus. The network helps show where Marie‐Claire Verdus may publish in the future.
Co-authorship network of co-authors of Marie‐Claire Verdus
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Claire Verdus. A scholar is included among the top collaborators of Marie‐Claire Verdus 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 Marie‐Claire Verdus. Marie‐Claire Verdus 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.