Pamela Graff
About
In The Last Decade
Pamela Graff
15 papers receiving 393 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pamela Graff Argentina | 9 | 313 | 210 | 161 | 134 | 72 | 17 | 402 | ||
| André Jardim Arruda Brazil | 12 | 303 1.0× | 246 1.2× | 119 0.7× | 137 1.0× | 113 1.6× | 28 | 500 | ||
| Florencia A. Yannelli Germany | 11 | 247 0.8× | 175 0.8× | 135 0.8× | 156 1.2× | 54 0.8× | 19 | 408 | ||
| Mathias Öster Sweden | 7 | 289 0.9× | 148 0.7× | 155 1.0× | 153 1.1× | 70 1.0× | 9 | 367 | ||
| Liana Khetsuriani United States | 10 | 419 1.3× | 300 1.4× | 178 1.1× | 269 2.0× | 82 1.1× | 15 | 582 | ||
| I. Caballero Spain | 10 | 380 1.2× | 155 0.7× | 180 1.1× | 208 1.6× | 84 1.2× | 10 | 463 | ||
| Pedram P. Daneshgar United States | 10 | 274 0.9× | 162 0.8× | 153 1.0× | 118 0.9× | 75 1.0× | 13 | 354 | ||
| Anna Szabó Romania | 8 | 183 0.6× | 102 0.5× | 103 0.6× | 136 1.0× | 56 0.8× | 15 | 289 | ||
| Claire E. Wainwright United States | 9 | 381 1.2× | 239 1.1× | 187 1.2× | 156 1.2× | 124 1.7× | 14 | 499 | ||
| Anne Weyand Switzerland | 7 | 222 0.7× | 143 0.7× | 101 0.6× | 141 1.1× | 91 1.3× | 8 | 372 | ||
| Kathryn A. Yurkonis United States | 11 | 314 1.0× | 194 0.9× | 191 1.2× | 140 1.0× | 93 1.3× | 27 | 437 |
Countries citing papers authored by Pamela Graff
This map shows the geographic impact of Pamela Graff'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 Pamela Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Graff more than expected).
Fields of papers citing papers by Pamela Graff
This network shows the impact of papers produced by Pamela Graff. 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 Pamela Graff. The network helps show where Pamela Graff may publish in the future.
Co-authorship network of co-authors of Pamela Graff
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Graff. A scholar is included among the top collaborators of Pamela Graff 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 Pamela Graff. Pamela Graff 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.