Vafa Saber
About
In The Last Decade
Vafa Saber
11 papers receiving 405 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vafa Saber Iran | 11 | 315 | 119 | 115 | 45 | 39 | 11 | 420 | ||
| Luiz Euribel Prestes-Carneiro Brazil | 13 | 125 0.4× | 94 0.8× | 101 0.9× | 4 0.1× | 19 0.5× | 42 | 352 | ||
| H. M. Seitz Germany | 10 | 295 0.9× | 180 1.5× | 63 0.5× | 17 0.4× | 8 0.2× | 15 | 442 | ||
| Valentin Greigert France | 12 | 194 0.6× | 104 0.9× | 165 1.4× | 5 0.1× | 17 0.4× | 28 | 398 | ||
| Carlos Alberto Basílio‐de‐Oliveira Brazil | 15 | 38 0.1× | 66 0.6× | 339 2.9× | 39 0.9× | 30 0.8× | 34 | 554 | ||
| Yabo Josiane Honkpéhèdji Gabon | 12 | 265 0.8× | 32 0.3× | 57 0.5× | 8 0.2× | 30 0.8× | 34 | 398 | ||
| Jeannot Fréjus Zinsou Gabon | 13 | 329 1.0× | 35 0.3× | 58 0.5× | 6 0.1× | 43 1.1× | 27 | 449 | ||
| Małgorzata Paul Poland | 10 | 336 1.1× | 146 1.2× | 85 0.7× | 2 0.0× | 9 0.2× | 24 | 427 | ||
| Marie‐Catherine Receveur France | 13 | 84 0.3× | 75 0.6× | 282 2.5× | 6 0.1× | 18 0.5× | 27 | 533 | ||
| Gyaviira Nkurunungi Uganda | 14 | 99 0.3× | 50 0.4× | 121 1.1× | 4 0.1× | 119 3.1× | 29 | 372 | ||
| Cristiane Maria Colli Brazil | 13 | 367 1.2× | 34 0.3× | 188 1.6× | 3 0.1× | 25 0.6× | 37 | 429 |
Countries citing papers authored by Vafa Saber
This map shows the geographic impact of Vafa Saber'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 Vafa Saber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vafa Saber more than expected).
Fields of papers citing papers by Vafa Saber
This network shows the impact of papers produced by Vafa Saber. 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 Vafa Saber. The network helps show where Vafa Saber may publish in the future.
Co-authorship network of co-authors of Vafa Saber
This figure shows the co-authorship network connecting the top 25 collaborators of Vafa Saber. A scholar is included among the top collaborators of Vafa Saber 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 Vafa Saber. Vafa Saber 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.