Marie Paschaki
About
In The Last Decade
Marie Paschaki
17 papers receiving 507 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 Paschaki France | 15 | 340 | 151 | 64 | 62 | 47 | 17 | 508 | ||
| Pasquale Buanne Italy | 11 | 242 0.7× | 50 0.3× | 16 0.3× | 23 0.4× | 107 2.3× | 11 | 513 | ||
| Jing Zhu United States | 18 | 716 2.1× | 80 0.5× | 32 0.5× | 71 1.1× | 256 5.4× | 54 | 938 | ||
| Tatsuyuki Ohto Japan | 11 | 312 0.9× | 63 0.4× | 6 0.1× | 184 3.0× | 52 1.1× | 38 | 507 | ||
| Veronica La Padula France | 10 | 377 1.1× | 69 0.5× | 22 0.3× | 119 1.9× | 250 5.3× | 13 | 673 | ||
| Astrid Vogel‐Höpker Germany | 10 | 536 1.6× | 156 1.0× | 12 0.2× | 62 1.0× | 87 1.9× | 12 | 624 | ||
| Milene Kong Chile | 17 | 291 0.9× | 116 0.8× | 8 0.1× | 68 1.1× | 48 1.0× | 24 | 660 | ||
| Silvia Cainarca Italy | 12 | 307 0.9× | 88 0.6× | 46 0.7× | 44 0.7× | 65 1.4× | 16 | 534 | ||
| Takeo Mizuno Japan | 8 | 185 0.5× | 45 0.3× | 52 0.8× | 41 0.7× | 149 3.2× | 22 | 423 | ||
| Aurore Caqueret Canada | 9 | 219 0.6× | 95 0.6× | 4 0.1× | 53 0.9× | 32 0.7× | 10 | 344 | ||
| Christopher Adams United States | 11 | 373 1.1× | 68 0.5× | 7 0.1× | 11 0.2× | 57 1.2× | 16 | 518 |
Countries citing papers authored by Marie Paschaki
This map shows the geographic impact of Marie Paschaki'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 Paschaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Paschaki more than expected).
Fields of papers citing papers by Marie Paschaki
This network shows the impact of papers produced by Marie Paschaki. 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 Paschaki. The network helps show where Marie Paschaki may publish in the future.
Co-authorship network of co-authors of Marie Paschaki
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Paschaki. A scholar is included among the top collaborators of Marie Paschaki 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 Paschaki. Marie Paschaki 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.