Tuba Dal
About
In The Last Decade
Tuba Dal
70 papers receiving 808 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tuba Dal Türkiye | 16 | 245 | 214 | 184 | 177 | 132 | 76 | 845 | ||
| Vincent Fihman France | 18 | 131 0.5× | 221 1.0× | 336 1.8× | 199 1.1× | 174 1.3× | 55 | 814 | ||
| Basista Prasad Rijal Nepal | 17 | 123 0.5× | 253 1.2× | 232 1.3× | 315 1.8× | 135 1.0× | 63 | 799 | ||
| Matthew E. Griffith United States | 17 | 195 0.8× | 291 1.4× | 249 1.4× | 315 1.8× | 132 1.0× | 27 | 932 | ||
| Reinoud Cartuyvels Belgium | 17 | 118 0.5× | 265 1.2× | 308 1.7× | 105 0.6× | 115 0.9× | 54 | 885 | ||
| Amanda Harrington United States | 17 | 271 1.1× | 342 1.6× | 286 1.6× | 162 0.9× | 245 1.9× | 53 | 1.1k | ||
| Sheila Abner United States | 7 | 124 0.5× | 284 1.3× | 177 1.0× | 186 1.1× | 49 0.4× | 9 | 751 | ||
| Wade K. Aldous United States | 17 | 258 1.1× | 248 1.2× | 353 1.9× | 176 1.0× | 62 0.5× | 34 | 894 | ||
| A Kureishi Canada | 15 | 166 0.7× | 263 1.2× | 305 1.7× | 130 0.7× | 105 0.8× | 20 | 879 | ||
| Øyvind Kommedal Norway | 19 | 221 0.9× | 365 1.7× | 463 2.5× | 146 0.8× | 109 0.8× | 48 | 1.0k | ||
| Chi-Jung Wu Taiwan | 19 | 124 0.5× | 366 1.7× | 300 1.6× | 206 1.2× | 289 2.2× | 51 | 1.0k |
Countries citing papers authored by Tuba Dal
This map shows the geographic impact of Tuba Dal'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 Tuba Dal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuba Dal more than expected).
Fields of papers citing papers by Tuba Dal
This network shows the impact of papers produced by Tuba Dal. 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 Tuba Dal. The network helps show where Tuba Dal may publish in the future.
Co-authorship network of co-authors of Tuba Dal
This figure shows the co-authorship network connecting the top 25 collaborators of Tuba Dal. A scholar is included among the top collaborators of Tuba Dal 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 Tuba Dal. Tuba Dal 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.