Principia Dardano
About
In The Last Decade
Principia Dardano
72 papers receiving 1.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Principia Dardano Italy | 24 | 472 | 441 | 329 | 302 | 259 | 76 | 1.5k | ||
| Susan M. Brozik United States | 26 | 693 1.5× | 766 1.7× | 234 0.7× | 950 3.1× | 157 0.6× | 60 | 2.1k | ||
| Mila Boncheva Switzerland | 18 | 602 1.3× | 681 1.5× | 295 0.9× | 406 1.3× | 514 2.0× | 28 | 2.6k | ||
| Karen Köhler Germany | 24 | 671 1.4× | 589 1.3× | 111 0.3× | 350 1.2× | 911 3.5× | 62 | 2.9k | ||
| Cecília Leal United States | 29 | 482 1.0× | 1.3k 2.9× | 63 0.2× | 419 1.4× | 386 1.5× | 76 | 2.5k | ||
| Katsuhiko Sato Japan | 25 | 526 1.1× | 468 1.1× | 165 0.5× | 486 1.6× | 400 1.5× | 145 | 2.1k | ||
| Andreas Langner Germany | 24 | 427 0.9× | 528 1.2× | 42 0.1× | 808 2.7× | 90 0.3× | 109 | 1.9k | ||
| Toon Brans Belgium | 23 | 600 1.3× | 584 1.3× | 44 0.1× | 116 0.4× | 157 0.6× | 49 | 1.5k | ||
| Nily Dan United States | 31 | 684 1.4× | 1.6k 3.6× | 125 0.4× | 226 0.7× | 424 1.6× | 87 | 3.4k | ||
| Noemi Szekély Germany | 20 | 325 0.7× | 578 1.3× | 50 0.2× | 219 0.7× | 227 0.9× | 50 | 1.5k | ||
| Changying Xue China | 20 | 344 0.7× | 374 0.8× | 79 0.2× | 114 0.4× | 156 0.6× | 45 | 1.2k |
Countries citing papers authored by Principia Dardano
This map shows the geographic impact of Principia Dardano'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 Principia Dardano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Principia Dardano more than expected).
Fields of papers citing papers by Principia Dardano
This network shows the impact of papers produced by Principia Dardano. 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 Principia Dardano. The network helps show where Principia Dardano may publish in the future.
Co-authorship network of co-authors of Principia Dardano
This figure shows the co-authorship network connecting the top 25 collaborators of Principia Dardano. A scholar is included among the top collaborators of Principia Dardano 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 Principia Dardano. Principia Dardano 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.