Maya Hickmann
About
In The Last Decade
Maya Hickmann
57 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maya Hickmann France | 21 | 703 | 638 | 566 | 188 | 157 | 59 | 1.4k | ||
| Soonja Choi United States | 16 | 1.0k 1.4× | 813 1.3× | 404 0.7× | 197 1.0× | 76 0.5× | 33 | 1.6k | ||
| Ayhan Aksu-Κοç Türkiye | 12 | 404 0.6× | 338 0.5× | 377 0.7× | 107 0.6× | 80 0.5× | 29 | 813 | ||
| Marianne Gullberg Sweden | 28 | 1.5k 2.1× | 1.2k 1.9× | 1.2k 2.2× | 446 2.4× | 183 1.2× | 102 | 2.3k | ||
| Teresa Cadierno Denmark | 19 | 877 1.2× | 449 0.7× | 1.1k 2.0× | 140 0.7× | 122 0.8× | 50 | 1.5k | ||
| Michael H. Kelly United States | 20 | 706 1.0× | 670 1.1× | 266 0.5× | 639 3.4× | 105 0.7× | 33 | 1.5k | ||
| Letitia Naigles United States | 8 | 1.3k 1.9× | 368 0.6× | 516 0.9× | 494 2.6× | 115 0.7× | 8 | 1.8k | ||
| Holger Diessel Germany | 20 | 875 1.2× | 868 1.4× | 1.5k 2.7× | 446 2.4× | 429 2.7× | 37 | 2.3k | ||
| Dawn G. Blasko United States | 14 | 262 0.4× | 828 1.3× | 157 0.3× | 360 1.9× | 45 0.3× | 31 | 1.0k | ||
| Sandeep Prasada United States | 16 | 860 1.2× | 336 0.5× | 291 0.5× | 470 2.5× | 37 0.2× | 30 | 1.4k | ||
| Emanuel Bylund Sweden | 22 | 443 0.6× | 726 1.1× | 415 0.7× | 270 1.4× | 221 1.4× | 53 | 1.2k |
Countries citing papers authored by Maya Hickmann
This map shows the geographic impact of Maya Hickmann'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 Maya Hickmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Hickmann more than expected).
Fields of papers citing papers by Maya Hickmann
This network shows the impact of papers produced by Maya Hickmann. 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 Maya Hickmann. The network helps show where Maya Hickmann may publish in the future.
Co-authorship network of co-authors of Maya Hickmann
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Hickmann. A scholar is included among the top collaborators of Maya Hickmann 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 Maya Hickmann. Maya Hickmann 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.