Mădălina Icriverzi
About
In The Last Decade
Mădălina Icriverzi
20 papers receiving 326 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mădălina Icriverzi Romania | 10 | 139 | 83 | 78 | 35 | 34 | 21 | 329 | ||
| Hyun Jung Yang South Korea | 6 | 127 0.9× | 140 1.7× | 61 0.8× | 43 1.2× | 13 0.4× | 10 | 361 | ||
| Zilin Zhang China | 13 | 209 1.5× | 68 0.8× | 86 1.1× | 50 1.4× | 17 0.5× | 40 | 410 | ||
| N. Serban Romania | 8 | 232 1.7× | 87 1.0× | 59 0.8× | 20 0.6× | 67 2.0× | 11 | 348 | ||
| Sharan Shanmuga Vuppaladadium Rathnam India | 10 | 150 1.1× | 92 1.1× | 113 1.4× | 22 0.6× | 11 0.3× | 18 | 347 | ||
| Rodolfo Debone Piazza Brazil | 12 | 153 1.1× | 54 0.7× | 172 2.2× | 60 1.7× | 9 0.3× | 37 | 371 | ||
| Margarida Figueiredo Portugal | 10 | 193 1.4× | 53 0.6× | 154 2.0× | 41 1.2× | 10 0.3× | 20 | 493 | ||
| Dmitry Khalenkow Belgium | 10 | 166 1.2× | 56 0.7× | 115 1.5× | 46 1.3× | 11 0.3× | 18 | 331 | ||
| Federica Leone Italy | 11 | 169 1.2× | 92 1.1× | 107 1.4× | 37 1.1× | 9 0.3× | 21 | 445 | ||
| Patrícia C. Henriques Portugal | 13 | 234 1.7× | 162 2.0× | 84 1.1× | 50 1.4× | 17 0.5× | 15 | 414 | ||
| Alba Córdoba Spain | 15 | 201 1.4× | 89 1.1× | 89 1.1× | 153 4.4× | 18 0.5× | 23 | 528 |
Countries citing papers authored by Mădălina Icriverzi
This map shows the geographic impact of Mădălina Icriverzi'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 Mădălina Icriverzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mădălina Icriverzi more than expected).
Fields of papers citing papers by Mădălina Icriverzi
This network shows the impact of papers produced by Mădălina Icriverzi. 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 Mădălina Icriverzi. The network helps show where Mădălina Icriverzi may publish in the future.
Co-authorship network of co-authors of Mădălina Icriverzi
This figure shows the co-authorship network connecting the top 25 collaborators of Mădălina Icriverzi. A scholar is included among the top collaborators of Mădălina Icriverzi 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 Mădălina Icriverzi. Mădălina Icriverzi 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.