Maricica Pacurari
About
In The Last Decade
Maricica Pacurari
30 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maricica Pacurari United States | 17 | 768 | 431 | 400 | 346 | 197 | 32 | 1.7k | ||
| Amruta Manke United States | 10 | 897 1.2× | 456 1.1× | 267 0.7× | 293 0.8× | 228 1.2× | 12 | 2.0k | ||
| Ruth Magaye Australia | 14 | 1.0k 1.3× | 324 0.8× | 402 1.0× | 286 0.8× | 99 0.5× | 23 | 1.9k | ||
| Daniela Urich United States | 19 | 496 0.6× | 556 1.3× | 463 1.2× | 535 1.5× | 100 0.5× | 31 | 2.1k | ||
| Yuan Wu China | 22 | 717 0.9× | 273 0.6× | 470 1.2× | 349 1.0× | 209 1.1× | 68 | 2.1k | ||
| Caixia Guo China | 26 | 677 0.9× | 319 0.7× | 491 1.2× | 557 1.6× | 124 0.6× | 45 | 1.9k | ||
| Yuko Ibuki Japan | 28 | 642 0.8× | 330 0.8× | 455 1.1× | 798 2.3× | 461 2.3× | 102 | 2.3k | ||
| Tracy Hulderman United States | 18 | 489 0.6× | 316 0.7× | 423 1.1× | 780 2.3× | 93 0.5× | 21 | 2.0k | ||
| Baobo Zou China | 21 | 457 0.6× | 355 0.8× | 209 0.5× | 382 1.1× | 88 0.4× | 35 | 1.6k |
Countries citing papers authored by Maricica Pacurari
This map shows the geographic impact of Maricica Pacurari'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 Maricica Pacurari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maricica Pacurari more than expected).
Fields of papers citing papers by Maricica Pacurari
This network shows the impact of papers produced by Maricica Pacurari. 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 Maricica Pacurari. The network helps show where Maricica Pacurari may publish in the future.
Co-authorship network of co-authors of Maricica Pacurari
This figure shows the co-authorship network connecting the top 25 collaborators of Maricica Pacurari. A scholar is included among the top collaborators of Maricica Pacurari 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 Maricica Pacurari. Maricica Pacurari 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.