Thea Daha
About
In The Last Decade
Thea Daha
4 papers receiving 934 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Thea Daha Netherlands | 4 | 765 | 338 | 176 | 144 | 130 | 4 | 977 | ||
| Didier Pittet Switzerland | 4 | 706 0.9× | 364 1.1× | 151 0.9× | 120 0.8× | 115 0.9× | 5 | 970 | ||
| Annette Jeanes United Kingdom | 17 | 758 1.0× | 285 0.8× | 113 0.6× | 119 0.8× | 85 0.7× | 50 | 1.1k | ||
| Jane Chudleigh United Kingdom | 16 | 615 0.8× | 556 1.6× | 155 0.9× | 116 0.8× | 117 0.9× | 59 | 1.3k | ||
| Janet P. Haas United States | 16 | 717 0.9× | 291 0.9× | 123 0.7× | 103 0.7× | 96 0.7× | 24 | 1.1k | ||
| Donna Moralejo Canada | 13 | 547 0.7× | 227 0.7× | 137 0.8× | 98 0.7× | 100 0.8× | 31 | 915 | ||
| Anne Simon Belgium | 10 | 656 0.9× | 196 0.6× | 125 0.7× | 113 0.8× | 85 0.7× | 22 | 1000 | ||
| Carol O’Boyle United States | 10 | 796 1.0× | 184 0.5× | 157 0.9× | 73 0.5× | 50 0.4× | 13 | 1.2k | ||
| Nizam Damani United Kingdom | 11 | 692 0.9× | 205 0.6× | 82 0.5× | 230 1.6× | 88 0.7× | 27 | 1.1k | ||
| Claire Kilpatrick Switzerland | 17 | 607 0.8× | 177 0.5× | 70 0.4× | 222 1.5× | 95 0.7× | 75 | 1.1k | ||
| Marie‐Noëlle Chraïti Switzerland | 8 | 508 0.7× | 185 0.5× | 121 0.7× | 130 0.9× | 73 0.6× | 16 | 716 |
Countries citing papers authored by Thea Daha
This map shows the geographic impact of Thea Daha'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 Thea Daha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thea Daha more than expected).
Fields of papers citing papers by Thea Daha
This network shows the impact of papers produced by Thea Daha. 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 Thea Daha. The network helps show where Thea Daha may publish in the future.
Co-authorship network of co-authors of Thea Daha
This figure shows the co-authorship network connecting the top 25 collaborators of Thea Daha. A scholar is included among the top collaborators of Thea Daha 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 Thea Daha. Thea Daha 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.