Natalya Makarova
About
In The Last Decade
Natalya Makarova
32 papers receiving 660 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalya Makarova United States | 16 | 444 | 305 | 192 | 137 | 92 | 32 | 675 | ||
| Seokha Yoo South Korea | 15 | 380 0.9× | 177 0.6× | 175 0.9× | 100 0.7× | 60 0.7× | 70 | 695 | ||
| Pasi Lahtinen Finland | 12 | 562 1.3× | 390 1.3× | 350 1.8× | 59 0.4× | 45 0.5× | 26 | 807 | ||
| Chung Su Kim South Korea | 15 | 369 0.8× | 146 0.5× | 70 0.4× | 114 0.8× | 170 1.8× | 46 | 717 | ||
| Laís Helena Navarro e Lima Brazil | 13 | 323 0.7× | 199 0.7× | 296 1.5× | 209 1.5× | 22 0.2× | 50 | 659 | ||
| Ji‐Hyun Lee South Korea | 17 | 318 0.7× | 165 0.5× | 322 1.7× | 344 2.5× | 43 0.5× | 123 | 863 | ||
| M. Raucoules‐Aimé France | 17 | 506 1.1× | 194 0.6× | 165 0.9× | 113 0.8× | 26 0.3× | 82 | 810 | ||
| B. Jason Bowles United Kingdom | 11 | 351 0.8× | 140 0.5× | 101 0.5× | 214 1.6× | 78 0.8× | 19 | 674 | ||
| Ji‐Yeon Bang South Korea | 14 | 236 0.5× | 154 0.5× | 123 0.6× | 81 0.6× | 136 1.5× | 43 | 494 | ||
| Piotr Knapik Poland | 15 | 271 0.6× | 244 0.8× | 100 0.5× | 114 0.8× | 25 0.3× | 94 | 644 | ||
| P Scherpereel France | 12 | 516 1.2× | 436 1.4× | 198 1.0× | 64 0.5× | 38 0.4× | 33 | 893 |
Countries citing papers authored by Natalya Makarova
This map shows the geographic impact of Natalya Makarova'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 Natalya Makarova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalya Makarova more than expected).
Fields of papers citing papers by Natalya Makarova
This network shows the impact of papers produced by Natalya Makarova. 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 Natalya Makarova. The network helps show where Natalya Makarova may publish in the future.
Co-authorship network of co-authors of Natalya Makarova
This figure shows the co-authorship network connecting the top 25 collaborators of Natalya Makarova. A scholar is included among the top collaborators of Natalya Makarova 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 Natalya Makarova. Natalya Makarova 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.