Teal Benevides
About
In The Last Decade
Teal Benevides
47 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Teal Benevides United States | 16 | 824 | 674 | 500 | 190 | 104 | 54 | 1.2k | ||
| Anne V. Kirby United States | 20 | 766 0.9× | 647 1.0× | 390 0.8× | 145 0.8× | 170 1.6× | 61 | 1.2k | ||
| Lauren Bishop United States | 17 | 1.2k 1.4× | 992 1.5× | 541 1.1× | 180 0.9× | 148 1.4× | 36 | 1.5k | ||
| Sandra Hodgetts Canada | 19 | 507 0.6× | 543 0.8× | 331 0.7× | 146 0.8× | 98 0.9× | 32 | 1.0k | ||
| Cynthia R. Ellis United States | 19 | 421 0.5× | 519 0.8× | 407 0.8× | 251 1.3× | 125 1.2× | 55 | 1.1k | ||
| Hannah Waddington New Zealand | 17 | 616 0.7× | 479 0.7× | 187 0.4× | 192 1.0× | 159 1.5× | 68 | 881 | ||
| Muideen O. Bakare Nigeria | 20 | 638 0.8× | 719 1.1× | 350 0.7× | 63 0.3× | 305 2.9× | 53 | 1.2k | ||
| Christina G. McDonnell United States | 20 | 454 0.6× | 772 1.1× | 173 0.3× | 213 1.1× | 161 1.5× | 50 | 1.2k | ||
| Brian Freedman United States | 12 | 655 0.8× | 572 0.8× | 388 0.8× | 84 0.4× | 95 0.9× | 25 | 909 | ||
| Pilar Bernal United States | 12 | 748 0.9× | 521 0.8× | 555 1.1× | 59 0.3× | 104 1.0× | 21 | 1.2k | ||
| Muriel D. Saunders United States | 16 | 481 0.6× | 424 0.6× | 235 0.5× | 731 3.8× | 213 2.0× | 30 | 1.3k |
Countries citing papers authored by Teal Benevides
This map shows the geographic impact of Teal Benevides'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 Teal Benevides with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teal Benevides more than expected).
Fields of papers citing papers by Teal Benevides
This network shows the impact of papers produced by Teal Benevides. 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 Teal Benevides. The network helps show where Teal Benevides may publish in the future.
Co-authorship network of co-authors of Teal Benevides
This figure shows the co-authorship network connecting the top 25 collaborators of Teal Benevides. A scholar is included among the top collaborators of Teal Benevides 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 Teal Benevides. Teal Benevides 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.