Yonit Lavin
About
In The Last Decade
Yonit Lavin
12 papers receiving 3.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yonit Lavin United States | 9 | 2.3k | 1.0k | 660 | 266 | 257 | 12 | 3.3k | ||
| Céline Trouillet United Kingdom | 9 | 2.3k 1.0× | 809 0.8× | 621 0.9× | 426 1.6× | 384 1.5× | 10 | 3.5k | ||
| Mathieu-Benoı̂t Voisin United Kingdom | 25 | 1.6k 0.7× | 1.1k 1.1× | 405 0.6× | 302 1.1× | 342 1.3× | 33 | 3.4k | ||
| Anna E. Beaudin United States | 19 | 1.5k 0.7× | 1.2k 1.2× | 372 0.6× | 230 0.9× | 198 0.8× | 36 | 3.2k | ||
| Lucile Crozet France | 13 | 2.4k 1.1× | 1.0k 1.0× | 648 1.0× | 299 1.1× | 851 3.3× | 15 | 3.7k | ||
| Laurent Chorro United States | 12 | 1.9k 0.8× | 562 0.5× | 693 1.1× | 213 0.8× | 186 0.7× | 15 | 2.6k | ||
| Liesbet Martens Belgium | 17 | 1.8k 0.8× | 930 0.9× | 689 1.0× | 439 1.7× | 216 0.8× | 24 | 3.0k | ||
| Violeta Chiţu United States | 22 | 1.5k 0.7× | 900 0.9× | 777 1.2× | 112 0.4× | 421 1.6× | 38 | 2.9k | ||
| Sofie De Prijck Belgium | 13 | 2.0k 0.9× | 831 0.8× | 737 1.1× | 407 1.5× | 243 0.9× | 15 | 3.2k | ||
| Elvira Mass Germany | 15 | 1.1k 0.5× | 731 0.7× | 370 0.6× | 170 0.6× | 243 0.9× | 36 | 1.9k | ||
| Mireia Guerau‐de‐Arellano United States | 25 | 1.3k 0.6× | 1.2k 1.2× | 301 0.5× | 213 0.8× | 321 1.2× | 45 | 3.0k |
Countries citing papers authored by Yonit Lavin
This map shows the geographic impact of Yonit Lavin'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 Yonit Lavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonit Lavin more than expected).
Fields of papers citing papers by Yonit Lavin
This network shows the impact of papers produced by Yonit Lavin. 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 Yonit Lavin. The network helps show where Yonit Lavin may publish in the future.
Co-authorship network of co-authors of Yonit Lavin
This figure shows the co-authorship network connecting the top 25 collaborators of Yonit Lavin. A scholar is included among the top collaborators of Yonit Lavin 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 Yonit Lavin. Yonit Lavin 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.