Guilan Vodjdani
About
In The Last Decade
Guilan Vodjdani
27 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Guilan Vodjdani France | 19 | 708 | 504 | 260 | 196 | 178 | 27 | 1.6k | ||
| Tiebing Liang United States | 28 | 821 1.2× | 643 1.3× | 267 1.0× | 370 1.9× | 98 0.6× | 94 | 2.3k | ||
| Anda Cornea United States | 24 | 959 1.4× | 390 0.8× | 249 1.0× | 361 1.8× | 79 0.4× | 47 | 2.1k | ||
| Oksana Kaidanovich‐Beilin Canada | 21 | 1.3k 1.8× | 523 1.0× | 397 1.5× | 315 1.6× | 132 0.7× | 25 | 2.4k | ||
| Peter Wigmore United Kingdom | 30 | 1.1k 1.5× | 351 0.7× | 215 0.8× | 286 1.5× | 106 0.6× | 72 | 2.7k | ||
| Junko Imaki Japan | 24 | 846 1.2× | 580 1.2× | 121 0.5× | 243 1.2× | 118 0.7× | 63 | 2.1k | ||
| Mária Baranyi Hungary | 30 | 757 1.1× | 638 1.3× | 240 0.9× | 215 1.1× | 74 0.4× | 82 | 2.2k | ||
| Sarah Bailey United Kingdom | 24 | 727 1.0× | 456 0.9× | 95 0.4× | 217 1.1× | 124 0.7× | 55 | 1.6k | ||
| Galila Agam Israel | 25 | 764 1.1× | 472 0.9× | 420 1.6× | 168 0.9× | 71 0.4× | 55 | 1.6k | ||
| Antoine Pianos France | 22 | 489 0.7× | 544 1.1× | 312 1.2× | 169 0.9× | 107 0.6× | 35 | 1.8k | ||
| Franco Mangia Italy | 21 | 830 1.2× | 223 0.4× | 243 0.9× | 238 1.2× | 61 0.3× | 37 | 1.9k |
Countries citing papers authored by Guilan Vodjdani
This map shows the geographic impact of Guilan Vodjdani'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 Guilan Vodjdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilan Vodjdani more than expected).
Fields of papers citing papers by Guilan Vodjdani
This network shows the impact of papers produced by Guilan Vodjdani. 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 Guilan Vodjdani. The network helps show where Guilan Vodjdani may publish in the future.
Co-authorship network of co-authors of Guilan Vodjdani
This figure shows the co-authorship network connecting the top 25 collaborators of Guilan Vodjdani. A scholar is included among the top collaborators of Guilan Vodjdani 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 Guilan Vodjdani. Guilan Vodjdani 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.