Gülden Ülkümen
About
In The Last Decade
Gülden Ülkümen
16 papers receiving 414 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gülden Ülkümen United States | 8 | 165 | 105 | 103 | 87 | 86 | 17 | 447 | ||
| X. T. Wang United States | 11 | 267 1.6× | 120 1.1× | 141 1.4× | 62 0.7× | 33 0.4× | 24 | 556 | ||
| Christoph Ungemach United States | 6 | 180 1.1× | 54 0.5× | 120 1.2× | 44 0.5× | 38 0.4× | 10 | 500 | ||
| Liat Hadar United States | 11 | 340 2.1× | 113 1.1× | 132 1.3× | 71 0.8× | 119 1.4× | 19 | 743 | ||
| Fabio Tufano United Kingdom | 9 | 132 0.8× | 42 0.4× | 158 1.5× | 115 1.3× | 35 0.4× | 19 | 587 | ||
| Dalia L. Diab United States | 8 | 109 0.7× | 108 1.0× | 105 1.0× | 127 1.5× | 48 0.6× | 14 | 412 | ||
| Raffaëlla Misuraca Italy | 12 | 171 1.0× | 142 1.4× | 113 1.1× | 92 1.1× | 101 1.2× | 32 | 397 | ||
| Marc Scholten Portugal | 12 | 474 2.9× | 99 0.9× | 63 0.6× | 50 0.6× | 76 0.9× | 35 | 700 | ||
| Thomas Schultze Germany | 12 | 92 0.6× | 73 0.7× | 152 1.5× | 113 1.3× | 24 0.3× | 32 | 481 | ||
| Daniel Navarro‐Martinez Spain | 9 | 149 0.9× | 38 0.4× | 93 0.9× | 33 0.4× | 71 0.8× | 18 | 427 | ||
| Philipp Otto Germany | 9 | 280 1.7× | 38 0.4× | 98 1.0× | 33 0.4× | 32 0.4× | 35 | 706 |
Countries citing papers authored by Gülden Ülkümen
This map shows the geographic impact of Gülden Ülkümen'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 Gülden Ülkümen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gülden Ülkümen more than expected).
Fields of papers citing papers by Gülden Ülkümen
This network shows the impact of papers produced by Gülden Ülkümen. 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 Gülden Ülkümen. The network helps show where Gülden Ülkümen may publish in the future.
Co-authorship network of co-authors of Gülden Ülkümen
This figure shows the co-authorship network connecting the top 25 collaborators of Gülden Ülkümen. A scholar is included among the top collaborators of Gülden Ülkümen 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 Gülden Ülkümen. Gülden Ülkümen 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.