Gemma de la Flor
About
In The Last Decade
Gemma de la Flor
21 papers receiving 1.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gemma de la Flor Spain | 12 | 766 | 643 | 505 | 342 | 202 | 25 | 1.3k | ||
| C. A. Kuntscher Germany | 22 | 999 1.3× | 898 1.4× | 592 1.2× | 275 0.8× | 254 1.3× | 109 | 1.7k | ||
| О. В. Димитрова Russia | 18 | 792 1.0× | 949 1.5× | 384 0.8× | 403 1.2× | 234 1.2× | 178 | 1.6k | ||
| Dadi Dai United States | 17 | 528 0.7× | 846 1.3× | 572 1.1× | 309 0.9× | 207 1.0× | 26 | 1.4k | ||
| Shuiquan Deng China | 20 | 747 1.0× | 706 1.1× | 245 0.5× | 196 0.6× | 302 1.5× | 79 | 1.3k | ||
| D. Orobengoa Spain | 12 | 1.2k 1.5× | 937 1.5× | 516 1.0× | 301 0.9× | 373 1.8× | 20 | 1.7k | ||
| J. van Duijn United Kingdom | 16 | 553 0.7× | 553 0.9× | 686 1.4× | 210 0.6× | 149 0.7× | 40 | 1.2k | ||
| M. Sakata Japan | 19 | 830 1.1× | 397 0.6× | 448 0.9× | 290 0.8× | 175 0.9× | 41 | 1.4k | ||
| Tatsuya Kawae Japan | 22 | 395 0.5× | 908 1.4× | 909 1.8× | 291 0.9× | 130 0.6× | 154 | 1.4k | ||
| P.P. Edwards United Kingdom | 19 | 376 0.5× | 380 0.6× | 602 1.2× | 278 0.8× | 145 0.7× | 72 | 1.2k | ||
| Solveig Felton United Kingdom | 18 | 645 0.8× | 408 0.6× | 186 0.4× | 283 0.8× | 189 0.9× | 49 | 1.1k |
Countries citing papers authored by Gemma de la Flor
This map shows the geographic impact of Gemma de la Flor'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 Gemma de la Flor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma de la Flor more than expected).
Fields of papers citing papers by Gemma de la Flor
This network shows the impact of papers produced by Gemma de la Flor. 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 Gemma de la Flor. The network helps show where Gemma de la Flor may publish in the future.
Co-authorship network of co-authors of Gemma de la Flor
This figure shows the co-authorship network connecting the top 25 collaborators of Gemma de la Flor. A scholar is included among the top collaborators of Gemma de la Flor 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 Gemma de la Flor. Gemma de la Flor 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.