Gaël Many
About
In The Last Decade
Gaël Many
18 papers receiving 334 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gaël Many France | 10 | 186 | 120 | 89 | 74 | 61 | 18 | 339 | ||
| Ana Picado Portugal | 12 | 185 1.0× | 153 1.3× | 87 1.0× | 130 1.8× | 126 2.1× | 41 | 401 | ||
| Alessandra Mantovanelli Australia | 10 | 190 1.0× | 92 0.8× | 71 0.8× | 53 0.7× | 95 1.6× | 16 | 307 | ||
| Katsuaki KOMAI Japan | 9 | 173 0.9× | 93 0.8× | 75 0.8× | 82 1.1× | 49 0.8× | 67 | 300 | ||
| Ole Svenstrup Petersen Denmark | 7 | 103 0.6× | 116 1.0× | 36 0.4× | 63 0.9× | 62 1.0× | 11 | 279 | ||
| Burt Jones United States | 10 | 325 1.7× | 86 0.7× | 105 1.2× | 67 0.9× | 120 2.0× | 14 | 435 | ||
| Vadim Pelevin Russia | 9 | 238 1.3× | 47 0.4× | 103 1.2× | 57 0.8× | 56 0.9× | 25 | 327 | ||
| Inga Dailidienė Lithuania | 10 | 290 1.6× | 96 0.8× | 142 1.6× | 86 1.2× | 156 2.6× | 35 | 457 | ||
| Xinyan Mao China | 11 | 297 1.6× | 91 0.8× | 132 1.5× | 72 1.0× | 100 1.6× | 34 | 401 | ||
| Eddie Weeks United States | 10 | 192 1.0× | 124 1.0× | 146 1.6× | 113 1.5× | 54 0.9× | 14 | 327 | ||
| Meinte Blaas Netherlands | 10 | 333 1.8× | 127 1.1× | 104 1.2× | 107 1.4× | 119 2.0× | 19 | 466 |
Countries citing papers authored by Gaël Many
This map shows the geographic impact of Gaël Many'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 Gaël Many with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Many more than expected).
Fields of papers citing papers by Gaël Many
This network shows the impact of papers produced by Gaël Many. 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 Gaël Many. The network helps show where Gaël Many may publish in the future.
Co-authorship network of co-authors of Gaël Many
This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Many. A scholar is included among the top collaborators of Gaël Many 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 Gaël Many. Gaël Many 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.