Hannah Dada
About
In The Last Decade
Hannah Dada
2 papers receiving 882 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hannah Dada United States | 2 | 666 | 588 | 206 | 112 | 89 | 2 | 892 | ||
| Samantha Bucktrout United States | 10 | 821 1.2× | 710 1.2× | 285 1.4× | 98 0.9× | 132 1.5× | 14 | 1.1k | ||
| Lavakumar Karyampudi United States | 10 | 639 1.0× | 744 1.3× | 197 1.0× | 81 0.7× | 103 1.2× | 15 | 963 | ||
| Katherine McNamara United States | 4 | 725 1.1× | 598 1.0× | 300 1.5× | 78 0.7× | 156 1.8× | 5 | 979 | ||
| Akihiro Hosoi Japan | 16 | 568 0.9× | 592 1.0× | 236 1.1× | 158 1.4× | 95 1.1× | 30 | 928 | ||
| Daisy Philips Netherlands | 7 | 901 1.4× | 814 1.4× | 243 1.2× | 72 0.6× | 83 0.9× | 10 | 1.1k | ||
| Anushruti Sarvaria United Kingdom | 4 | 448 0.7× | 566 1.0× | 149 0.7× | 76 0.7× | 66 0.7× | 4 | 755 | ||
| Anusha-Preethi Ganesan United States | 6 | 581 0.9× | 639 1.1× | 297 1.4× | 112 1.0× | 111 1.2× | 9 | 1.0k | ||
| Christine M. Ho United States | 6 | 541 0.8× | 645 1.1× | 227 1.1× | 49 0.4× | 63 0.7× | 13 | 865 | ||
| Jiaxiong Tan China | 16 | 443 0.7× | 447 0.8× | 185 0.9× | 91 0.8× | 65 0.7× | 37 | 742 | ||
| Marlous van den Braber Netherlands | 3 | 602 0.9× | 563 1.0× | 279 1.4× | 72 0.6× | 80 0.9× | 7 | 865 |
Countries citing papers authored by Hannah Dada
This map shows the geographic impact of Hannah Dada'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 Hannah Dada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Dada more than expected).
Fields of papers citing papers by Hannah Dada
This network shows the impact of papers produced by Hannah Dada. 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 Hannah Dada. The network helps show where Hannah Dada may publish in the future.
Co-authorship network of co-authors of Hannah Dada
This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Dada. A scholar is included among the top collaborators of Hannah Dada 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 Hannah Dada. Hannah Dada 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.