Maria Vahdati
About
In The Last Decade
Maria Vahdati
33 papers receiving 997 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maria Vahdati United Kingdom | 13 | 233 | 221 | 211 | 192 | 160 | 34 | 1.0k | ||
| Jon Maddy United Kingdom | 14 | 341 1.5× | 119 0.5× | 135 0.6× | 221 1.2× | 547 3.4× | 30 | 1.6k | ||
| Jakov Baleta Croatia | 22 | 145 0.6× | 133 0.6× | 120 0.6× | 82 0.4× | 182 1.1× | 57 | 1.4k | ||
| Ennio Carnevale Italy | 23 | 185 0.8× | 342 1.5× | 430 2.0× | 61 0.3× | 172 1.1× | 62 | 1.8k | ||
| Somtochukwu Godfrey Nnabuife United Kingdom | 15 | 261 1.1× | 136 0.6× | 109 0.5× | 192 1.0× | 316 2.0× | 29 | 1.4k | ||
| Omar Farrok Bangladesh | 20 | 296 1.3× | 154 0.7× | 150 0.7× | 61 0.3× | 780 4.9× | 74 | 1.7k | ||
| Joao M. Uratani United Arab Emirates | 9 | 173 0.7× | 120 0.5× | 112 0.5× | 122 0.6× | 191 1.2× | 20 | 1.0k | ||
| Iva Ridjan Skov Denmark | 17 | 480 2.1× | 200 0.9× | 391 1.9× | 165 0.9× | 1.1k 6.7× | 31 | 1.9k | ||
| Lorena Giordano Italy | 19 | 189 0.8× | 62 0.3× | 138 0.7× | 206 1.1× | 358 2.2× | 44 | 1.2k | ||
| Alireza Noorpoor Iran | 21 | 321 1.4× | 83 0.4× | 98 0.5× | 65 0.3× | 196 1.2× | 69 | 1.3k | ||
| Fontina Petrakopoulou Spain | 26 | 478 2.1× | 73 0.3× | 190 0.9× | 145 0.8× | 309 1.9× | 64 | 1.8k |
Countries citing papers authored by Maria Vahdati
This map shows the geographic impact of Maria Vahdati'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 Maria Vahdati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Vahdati more than expected).
Fields of papers citing papers by Maria Vahdati
This network shows the impact of papers produced by Maria Vahdati. 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 Maria Vahdati. The network helps show where Maria Vahdati may publish in the future.
Co-authorship network of co-authors of Maria Vahdati
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Vahdati. A scholar is included among the top collaborators of Maria Vahdati 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 Maria Vahdati. Maria Vahdati 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.