Fatma Ülger
About
In The Last Decade
Fatma Ülger
26 papers receiving 516 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fatma Ülger Türkiye | 10 | 218 | 129 | 121 | 102 | 81 | 30 | 558 | ||
| Ahmet Dilek Türkiye | 8 | 238 1.1× | 45 0.3× | 138 1.1× | 100 1.0× | 29 0.4× | 24 | 513 | ||
| Neil Wigglesworth United Kingdom | 11 | 321 1.5× | 95 0.7× | 101 0.8× | 42 0.4× | 91 1.1× | 30 | 493 | ||
| Denis Faria Moura Brazil | 9 | 116 0.5× | 105 0.8× | 97 0.8× | 118 1.2× | 103 1.3× | 11 | 406 | ||
| Adriano Menis Ferreira Brazil | 16 | 192 0.9× | 50 0.4× | 88 0.7× | 57 0.6× | 56 0.7× | 98 | 571 | ||
| Aleksander Deptuła Poland | 11 | 256 1.2× | 210 1.6× | 57 0.5× | 93 0.9× | 214 2.6× | 31 | 774 | ||
| Cláudia Vallone Silva Brazil | 9 | 148 0.7× | 131 1.0× | 102 0.8× | 35 0.3× | 128 1.6× | 12 | 450 | ||
| Polly Trexler United States | 10 | 272 1.2× | 64 0.5× | 144 1.2× | 35 0.3× | 63 0.8× | 19 | 442 | ||
| Laurie J. Conway United States | 12 | 211 1.0× | 35 0.3× | 74 0.6× | 76 0.7× | 131 1.6× | 20 | 406 | ||
| Jae Sim Jeong South Korea | 10 | 189 0.9× | 71 0.6× | 61 0.5× | 45 0.4× | 96 1.2× | 33 | 456 | ||
| Marilyn Cruickshank Australia | 11 | 226 1.0× | 47 0.4× | 75 0.6× | 100 1.0× | 76 0.9× | 26 | 435 |
Countries citing papers authored by Fatma Ülger
This map shows the geographic impact of Fatma Ülger'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 Fatma Ülger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Ülger more than expected).
Fields of papers citing papers by Fatma Ülger
This network shows the impact of papers produced by Fatma Ülger. 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 Fatma Ülger. The network helps show where Fatma Ülger may publish in the future.
Co-authorship network of co-authors of Fatma Ülger
This figure shows the co-authorship network connecting the top 25 collaborators of Fatma Ülger. A scholar is included among the top collaborators of Fatma Ülger 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 Fatma Ülger. Fatma Ülger 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.