Natalie Tarasenka
About
In The Last Decade
Natalie Tarasenka
33 papers receiving 466 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Tarasenka Belarus | 12 | 261 | 219 | 142 | 138 | 92 | 36 | 476 | ||
| María Isabel Mendivil Palma Mexico | 14 | 315 1.2× | 217 1.0× | 198 1.4× | 63 0.5× | 65 0.7× | 24 | 474 | ||
| Chiranjeevi Maddi United Kingdom | 10 | 348 1.3× | 103 0.5× | 166 1.2× | 78 0.6× | 79 0.9× | 16 | 471 | ||
| Ghulam Farid Spain | 13 | 273 1.0× | 132 0.6× | 250 1.8× | 72 0.5× | 150 1.6× | 36 | 472 | ||
| David Muñetón Arboleda Argentina | 10 | 187 0.7× | 202 0.9× | 71 0.5× | 61 0.4× | 137 1.5× | 20 | 381 | ||
| Bikramjeet Singh India | 7 | 263 1.0× | 73 0.3× | 130 0.9× | 143 1.0× | 82 0.9× | 15 | 443 | ||
| Dennis König Germany | 11 | 236 0.9× | 73 0.3× | 139 1.0× | 150 1.1× | 58 0.6× | 14 | 407 | ||
| Saadat Sulaimankulova Kyrgyzstan | 10 | 219 0.8× | 111 0.5× | 131 0.9× | 65 0.5× | 54 0.6× | 18 | 356 | ||
| M.A. Hernández-Pérez Mexico | 13 | 268 1.0× | 67 0.3× | 198 1.4× | 90 0.7× | 42 0.5× | 39 | 399 | ||
| Faroha Liaqat Pakistan | 11 | 188 0.7× | 105 0.5× | 83 0.6× | 57 0.4× | 59 0.6× | 31 | 393 | ||
| Yoriko Matsuoka Japan | 12 | 206 0.8× | 108 0.5× | 113 0.8× | 197 1.4× | 123 1.3× | 21 | 442 |
Countries citing papers authored by Natalie Tarasenka
This map shows the geographic impact of Natalie Tarasenka'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 Natalie Tarasenka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Tarasenka more than expected).
Fields of papers citing papers by Natalie Tarasenka
This network shows the impact of papers produced by Natalie Tarasenka. 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 Natalie Tarasenka. The network helps show where Natalie Tarasenka may publish in the future.
Co-authorship network of co-authors of Natalie Tarasenka
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Tarasenka. A scholar is included among the top collaborators of Natalie Tarasenka 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 Natalie Tarasenka. Natalie Tarasenka 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.