Maud Maho‐Vaillant
About
In The Last Decade
Maud Maho‐Vaillant
14 papers receiving 399 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maud Maho‐Vaillant France | 7 | 256 | 104 | 65 | 50 | 40 | 15 | 403 | ||
| Ahsen Morva France | 5 | 251 1.0× | 48 0.5× | 41 0.6× | 48 1.0× | 37 0.9× | 9 | 348 | ||
| Florina Olaru United States | 11 | 164 0.6× | 97 0.9× | 77 1.2× | 65 1.3× | 66 1.6× | 13 | 380 | ||
| Marc Descatoire France | 6 | 246 1.0× | 63 0.6× | 33 0.5× | 59 1.2× | 35 0.9× | 7 | 378 | ||
| Étienne Crickx France | 12 | 150 0.6× | 77 0.7× | 46 0.7× | 66 1.3× | 23 0.6× | 25 | 421 | ||
| Morgane Cheminant France | 12 | 149 0.6× | 123 1.2× | 77 1.2× | 51 1.0× | 15 0.4× | 31 | 480 | ||
| Vasilis Bikos Greece | 8 | 266 1.0× | 113 1.1× | 17 0.3× | 126 2.5× | 59 1.5× | 11 | 402 | ||
| Agapitos Patakas United Kingdom | 10 | 316 1.2× | 45 0.4× | 96 1.5× | 16 0.3× | 63 1.6× | 12 | 425 | ||
| Kristy Wolniak United States | 11 | 236 0.9× | 104 1.0× | 19 0.3× | 51 1.0× | 17 0.4× | 30 | 427 | ||
| Laleh Khodadadi Germany | 8 | 263 1.0× | 26 0.3× | 145 2.2× | 38 0.8× | 68 1.7× | 11 | 419 | ||
| Katrin Thorarinsdottir Sweden | 9 | 209 0.8× | 23 0.2× | 59 0.9× | 25 0.5× | 26 0.7× | 11 | 285 |
Countries citing papers authored by Maud Maho‐Vaillant
This map shows the geographic impact of Maud Maho‐Vaillant'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 Maud Maho‐Vaillant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Maho‐Vaillant more than expected).
Fields of papers citing papers by Maud Maho‐Vaillant
This network shows the impact of papers produced by Maud Maho‐Vaillant. 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 Maud Maho‐Vaillant. The network helps show where Maud Maho‐Vaillant may publish in the future.
Co-authorship network of co-authors of Maud Maho‐Vaillant
This figure shows the co-authorship network connecting the top 25 collaborators of Maud Maho‐Vaillant. A scholar is included among the top collaborators of Maud Maho‐Vaillant 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 Maud Maho‐Vaillant. Maud Maho‐Vaillant 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.