Magali Ferrandon
About
In The Last Decade
Magali Ferrandon
78 papers receiving 5.4k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Magali Ferrandon United States | 38 | 2.5k | 2.5k | 2.1k | 1.2k | 815 | 80 | 5.5k | ||
| Kan Li China | 40 | 1.9k 0.8× | 4.7k 1.9× | 3.8k 1.8× | 1.6k 1.4× | 662 0.8× | 138 | 7.2k | ||
| Zhiqiang Niu China | 35 | 1.7k 0.7× | 3.2k 1.3× | 3.5k 1.7× | 786 0.7× | 373 0.5× | 63 | 6.3k | ||
| Guangfeng Wei China | 38 | 1.6k 0.6× | 2.2k 0.9× | 2.9k 1.4× | 678 0.6× | 265 0.3× | 95 | 5.4k | ||
| Xufang Qian China | 41 | 2.0k 0.8× | 3.2k 1.3× | 3.3k 1.6× | 390 0.3× | 309 0.4× | 108 | 6.1k | ||
| Linzhou Zhuang China | 40 | 3.8k 1.5× | 4.9k 2.0× | 2.1k 1.0× | 536 0.5× | 538 0.7× | 97 | 6.7k | ||
| Xiaomin Zhang China | 40 | 1.2k 0.5× | 2.0k 0.8× | 4.1k 1.9× | 1.1k 0.9× | 458 0.6× | 156 | 6.0k | ||
| Débora Motta Meira United States | 31 | 1.3k 0.5× | 3.1k 1.2× | 2.8k 1.3× | 1.9k 1.6× | 402 0.5× | 87 | 5.1k | ||
| Xuedan Song China | 42 | 2.9k 1.2× | 2.1k 0.8× | 2.6k 1.2× | 789 0.7× | 351 0.4× | 157 | 5.9k | ||
| Kai Yu China | 40 | 1.5k 0.6× | 2.2k 0.9× | 3.7k 1.7× | 1.2k 1.1× | 929 1.1× | 129 | 6.4k | ||
| Hisahiro Einaga Japan | 46 | 1.5k 0.6× | 2.0k 0.8× | 4.1k 2.0× | 1.7k 1.5× | 888 1.1× | 153 | 5.7k |
Countries citing papers authored by Magali Ferrandon
This map shows the geographic impact of Magali Ferrandon'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 Magali Ferrandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magali Ferrandon more than expected).
Fields of papers citing papers by Magali Ferrandon
This network shows the impact of papers produced by Magali Ferrandon. 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 Magali Ferrandon. The network helps show where Magali Ferrandon may publish in the future.
Co-authorship network of co-authors of Magali Ferrandon
This figure shows the co-authorship network connecting the top 25 collaborators of Magali Ferrandon. A scholar is included among the top collaborators of Magali Ferrandon 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 Magali Ferrandon. Magali Ferrandon 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.