Dana Šumilo
About
In The Last Decade
Dana Šumilo
25 papers receiving 752 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Dana Šumilo United Kingdom | 15 | 354 | 335 | 315 | 140 | 93 | 26 | 786 | ||
| Barbara A. Strobino United States | 17 | 448 1.3× | 154 0.5× | 163 0.5× | 28 0.2× | 59 0.6× | 24 | 823 | ||
| Ursula Kunze Austria | 16 | 295 0.8× | 254 0.8× | 291 0.9× | 9 0.1× | 32 0.3× | 64 | 637 | ||
| Zhongtang Zhao China | 19 | 292 0.8× | 242 0.7× | 280 0.9× | 4 0.0× | 45 0.5× | 58 | 1.2k | ||
| Piotr Czupryna Poland | 19 | 483 1.4× | 687 2.1× | 789 2.5× | 13 0.1× | 172 1.8× | 132 | 1.2k | ||
| Kathleen McKay United States | 12 | 262 0.7× | 498 1.5× | 525 1.7× | 5 0.0× | 140 1.5× | 19 | 994 | ||
| Amandine Cournil France | 19 | 147 0.4× | 444 1.3× | 97 0.3× | 37 0.3× | 9 0.1× | 59 | 1.1k | ||
| José Alberto Montoya-Alonso Spain | 22 | 597 1.7× | 1.4k 4.1× | 926 2.9× | 23 0.2× | 31 0.3× | 110 | 2.1k | ||
| Swaib A. Lule United Kingdom | 19 | 156 0.4× | 197 0.6× | 127 0.4× | 15 0.1× | 19 0.2× | 35 | 777 | ||
| M. R. H. Taylor Ireland | 17 | 100 0.3× | 224 0.7× | 657 2.1× | 71 0.5× | 12 0.1× | 31 | 1.2k | ||
| Mélanie Martin United States | 14 | 139 0.4× | 66 0.2× | 94 0.3× | 16 0.1× | 10 0.1× | 37 | 910 |
Countries citing papers authored by Dana Šumilo
This map shows the geographic impact of Dana Šumilo'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 Dana Šumilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Šumilo more than expected).
Fields of papers citing papers by Dana Šumilo
This network shows the impact of papers produced by Dana Šumilo. 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 Dana Šumilo. The network helps show where Dana Šumilo may publish in the future.
Co-authorship network of co-authors of Dana Šumilo
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Šumilo. A scholar is included among the top collaborators of Dana Šumilo 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 Dana Šumilo. Dana Šumilo 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.