Najla Fasih
About
In The Last Decade
Najla Fasih
42 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Najla Fasih Canada | 17 | 602 | 374 | 351 | 232 | 148 | 45 | 1.2k | ||
| Jae Mun Lee South Korea | 15 | 481 0.8× | 230 0.6× | 307 0.9× | 253 1.1× | 92 0.6× | 38 | 1.0k | ||
| Liina Pōder United States | 22 | 471 0.8× | 647 1.7× | 389 1.1× | 169 0.7× | 52 0.4× | 83 | 1.5k | ||
| Seong Tai Hahn South Korea | 16 | 346 0.6× | 197 0.5× | 378 1.1× | 258 1.1× | 48 0.3× | 36 | 973 | ||
| Beverly G. Coleman United States | 20 | 741 1.2× | 266 0.7× | 320 0.9× | 395 1.7× | 107 0.7× | 70 | 1.6k | ||
| Pascal Rousset France | 23 | 954 1.6× | 455 1.2× | 732 2.1× | 175 0.8× | 150 1.0× | 129 | 1.8k | ||
| Soon Nam Oh South Korea | 17 | 394 0.7× | 206 0.6× | 307 0.9× | 215 0.9× | 154 1.0× | 51 | 1.1k | ||
| Bruce Patsner United States | 21 | 510 0.8× | 505 1.4× | 551 1.6× | 164 0.7× | 87 0.6× | 103 | 1.3k | ||
| Frédéric Guyon France | 19 | 719 1.2× | 580 1.6× | 892 2.5× | 261 1.1× | 51 0.3× | 92 | 1.5k | ||
| D. Blair Macdonald Canada | 17 | 412 0.7× | 276 0.7× | 174 0.5× | 229 1.0× | 118 0.8× | 47 | 1.3k | ||
| H. H. Lien Norway | 18 | 618 1.0× | 138 0.4× | 191 0.5× | 246 1.1× | 154 1.0× | 52 | 938 |
Countries citing papers authored by Najla Fasih
This map shows the geographic impact of Najla Fasih'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 Najla Fasih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najla Fasih more than expected).
Fields of papers citing papers by Najla Fasih
This network shows the impact of papers produced by Najla Fasih. 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 Najla Fasih. The network helps show where Najla Fasih may publish in the future.
Co-authorship network of co-authors of Najla Fasih
This figure shows the co-authorship network connecting the top 25 collaborators of Najla Fasih. A scholar is included among the top collaborators of Najla Fasih 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 Najla Fasih. Najla Fasih 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.