Gail Ackermann
About
In The Last Decade
Gail Ackermann
45 papers receiving 5.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gail Ackermann United States | 30 | 2.8k | 1.1k | 673 | 652 | 553 | 45 | 5.5k | ||
| Jai Ram Rideout United States | 15 | 3.1k 1.1× | 1.6k 1.5× | 801 1.2× | 578 0.9× | 545 1.0× | 19 | 6.1k | ||
| Matthew R. Dillon United States | 6 | 2.5k 0.9× | 1.4k 1.3× | 738 1.1× | 459 0.7× | 455 0.8× | 8 | 5.2k | ||
| Evan Bolyen United States | 9 | 2.3k 0.8× | 1.2k 1.2× | 715 1.1× | 432 0.7× | 419 0.8× | 12 | 4.8k | ||
| Benjamin D. Kaehler Australia | 9 | 2.3k 0.8× | 1.3k 1.2× | 685 1.0× | 426 0.7× | 406 0.7× | 14 | 4.9k | ||
| Amnon Amir United States | 29 | 4.1k 1.5× | 1.2k 1.1× | 429 0.6× | 751 1.2× | 786 1.4× | 67 | 6.6k | ||
| Falk Hildebrand United Kingdom | 40 | 3.5k 1.2× | 1.1k 1.0× | 714 1.1× | 664 1.0× | 1.0k 1.9× | 83 | 6.3k | ||
| Markus Bauer Austria | 6 | 3.2k 1.1× | 2.2k 2.1× | 924 1.4× | 477 0.7× | 446 0.8× | 9 | 6.9k | ||
| Will Van Treuren United States | 18 | 3.0k 1.1× | 800 0.8× | 327 0.5× | 737 1.1× | 736 1.3× | 20 | 5.0k | ||
| Louise Fraser United Kingdom | 6 | 3.4k 1.2× | 2.4k 2.2× | 942 1.4× | 482 0.7× | 706 1.3× | 10 | 7.5k | ||
| Justin Kuczynski United States | 18 | 4.0k 1.4× | 1.3k 1.3× | 405 0.6× | 855 1.3× | 786 1.4× | 18 | 6.5k |
Countries citing papers authored by Gail Ackermann
This map shows the geographic impact of Gail Ackermann'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 Gail Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Ackermann more than expected).
Fields of papers citing papers by Gail Ackermann
This network shows the impact of papers produced by Gail Ackermann. 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 Gail Ackermann. The network helps show where Gail Ackermann may publish in the future.
Co-authorship network of co-authors of Gail Ackermann
This figure shows the co-authorship network connecting the top 25 collaborators of Gail Ackermann. A scholar is included among the top collaborators of Gail Ackermann 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 Gail Ackermann. Gail Ackermann 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.