Danièle Groshény
About
In The Last Decade
Danièle Groshény
48 papers receiving 798 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Danièle Groshény France | 17 | 513 | 400 | 298 | 233 | 111 | 50 | 827 | ||
| Telm Bover‐Arnal Spain | 20 | 684 1.3× | 408 1.0× | 320 1.1× | 281 1.2× | 149 1.3× | 59 | 988 | ||
| Joachim Szulc Poland | 16 | 520 1.0× | 333 0.8× | 250 0.8× | 222 1.0× | 71 0.6× | 39 | 783 | ||
| Andrea Concheyro Argentina | 17 | 611 1.2× | 390 1.0× | 296 1.0× | 189 0.8× | 118 1.1× | 55 | 860 | ||
| Beatriz Aguirre‐Urreta Argentina | 16 | 644 1.3× | 373 0.9× | 436 1.5× | 219 0.9× | 80 0.7× | 41 | 983 | ||
| Bernd Kaufmann Germany | 18 | 813 1.6× | 323 0.8× | 471 1.6× | 260 1.1× | 116 1.0× | 27 | 1.1k | ||
| François Atrops France | 16 | 734 1.4× | 438 1.1× | 347 1.2× | 240 1.0× | 125 1.1× | 52 | 928 | ||
| George D. Sevastopulo Ireland | 17 | 594 1.2× | 353 0.9× | 373 1.3× | 168 0.7× | 150 1.4× | 59 | 937 | ||
| Birgit Niebuhr Germany | 20 | 765 1.5× | 345 0.9× | 263 0.9× | 272 1.2× | 139 1.3× | 54 | 895 | ||
| M. Caron Switzerland | 13 | 668 1.3× | 452 1.1× | 292 1.0× | 187 0.8× | 83 0.7× | 21 | 829 | ||
| José Carlos García-Ramos Spain | 18 | 751 1.5× | 287 0.7× | 283 0.9× | 349 1.5× | 62 0.6× | 70 | 1.0k |
Countries citing papers authored by Danièle Groshény
This map shows the geographic impact of Danièle Groshény'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 Danièle Groshény with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Groshény more than expected).
Fields of papers citing papers by Danièle Groshény
This network shows the impact of papers produced by Danièle Groshény. 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 Danièle Groshény. The network helps show where Danièle Groshény may publish in the future.
Co-authorship network of co-authors of Danièle Groshény
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Groshény. A scholar is included among the top collaborators of Danièle Groshény 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 Danièle Groshény. Danièle Groshény 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.