Maryam Rahman
About
In The Last Decade
Maryam Rahman
108 papers receiving 3.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maryam Rahman United States | 34 | 988 | 938 | 815 | 731 | 661 | 118 | 3.7k | ||
| Eiichi Ishikawa Japan | 31 | 1.1k 1.1× | 881 0.9× | 553 0.7× | 772 1.1× | 504 0.8× | 321 | 3.9k | ||
| Kyung‐Sub Moon South Korea | 30 | 831 0.8× | 560 0.6× | 639 0.8× | 693 0.9× | 513 0.8× | 159 | 3.1k | ||
| Shingo Takano Japan | 38 | 1.4k 1.5× | 851 0.9× | 1.1k 1.4× | 600 0.8× | 720 1.1× | 197 | 4.7k | ||
| Brian V. Nahed United States | 35 | 1.3k 1.3× | 849 0.9× | 1.3k 1.6× | 1.2k 1.7× | 1.1k 1.7× | 176 | 5.5k | ||
| Orin Bloch United States | 38 | 1.5k 1.5× | 877 0.9× | 1.2k 1.4× | 839 1.1× | 1.1k 1.6× | 120 | 5.0k | ||
| Suzanne Z. Powell United States | 33 | 1.0k 1.1× | 709 0.8× | 822 1.0× | 1.2k 1.6× | 313 0.5× | 126 | 3.7k | ||
| Letterio S. Politi Italy | 31 | 676 0.7× | 1.3k 1.4× | 1.7k 2.1× | 890 1.2× | 548 0.8× | 121 | 5.1k | ||
| Alessandro Della Puppa Italy | 32 | 1.5k 1.5× | 543 0.6× | 938 1.2× | 451 0.6× | 516 0.8× | 172 | 3.2k | ||
| Stefan Grau Germany | 31 | 947 1.0× | 526 0.6× | 499 0.6× | 366 0.5× | 466 0.7× | 146 | 3.1k | ||
| John A. Boockvar United States | 37 | 1.3k 1.3× | 527 0.6× | 856 1.1× | 689 0.9× | 490 0.7× | 175 | 4.0k |
Countries citing papers authored by Maryam Rahman
This map shows the geographic impact of Maryam Rahman'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 Maryam Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Rahman more than expected).
Fields of papers citing papers by Maryam Rahman
This network shows the impact of papers produced by Maryam Rahman. 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 Maryam Rahman. The network helps show where Maryam Rahman may publish in the future.
Co-authorship network of co-authors of Maryam Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Rahman. A scholar is included among the top collaborators of Maryam Rahman 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 Maryam Rahman. Maryam Rahman 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.