Danielle Hugol
About
In The Last Decade
Danielle Hugol
14 papers receiving 2.6k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Danielle Hugol France | 14 | 1.6k | 1.3k | 714 | 493 | 405 | 14 | 2.6k | ||
| Caroline Tao United States | 14 | 1.4k 0.9× | 1.6k 1.2× | 461 0.6× | 680 1.4× | 259 0.6× | 16 | 2.6k | ||
| Markus Neumeier Germany | 33 | 2.1k 1.3× | 1.0k 0.8× | 494 0.7× | 853 1.7× | 711 1.8× | 61 | 3.3k | ||
| Virginie Bourlier France | 23 | 1.0k 0.7× | 1.1k 0.8× | 435 0.6× | 496 1.0× | 476 1.2× | 31 | 2.1k | ||
| Raghu Adya United Kingdom | 20 | 1.2k 0.8× | 756 0.6× | 520 0.7× | 751 1.5× | 324 0.8× | 31 | 2.6k | ||
| Johanna Weigert Germany | 24 | 1.3k 0.8× | 649 0.5× | 324 0.5× | 511 1.0× | 494 1.2× | 34 | 2.1k | ||
| Fahumiya Samad United States | 25 | 1.3k 0.8× | 864 0.6× | 421 0.6× | 1.1k 2.2× | 260 0.6× | 49 | 3.1k | ||
| Nicolas Veyrie France | 21 | 1.2k 0.8× | 728 0.5× | 404 0.6× | 551 1.1× | 259 0.6× | 44 | 2.9k | ||
| Kazuya Oshima Japan | 14 | 882 0.6× | 751 0.6× | 308 0.4× | 416 0.8× | 219 0.5× | 42 | 1.9k | ||
| Stéphanie Bonnafous France | 25 | 1.7k 1.1× | 608 0.5× | 285 0.4× | 1.0k 2.1× | 464 1.1× | 34 | 3.1k | ||
| Michaela Tencerová Czechia | 27 | 876 0.5× | 865 0.6× | 215 0.3× | 740 1.5× | 440 1.1× | 55 | 2.4k |
Countries citing papers authored by Danielle Hugol
This map shows the geographic impact of Danielle Hugol'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 Danielle Hugol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Hugol more than expected).
Fields of papers citing papers by Danielle Hugol
This network shows the impact of papers produced by Danielle Hugol. 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 Danielle Hugol. The network helps show where Danielle Hugol may publish in the future.
Co-authorship network of co-authors of Danielle Hugol
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Hugol. A scholar is included among the top collaborators of Danielle Hugol 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 Danielle Hugol. Danielle Hugol 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.