Wahida Rahman
About
In The Last Decade
Wahida Rahman
39 papers receiving 1.8k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wahida Rahman United Kingdom | 20 | 1.2k | 632 | 451 | 352 | 329 | 40 | 1.8k | ||
| Gudarz Davar United States | 21 | 1.3k 1.1× | 683 1.1× | 416 0.9× | 276 0.8× | 599 1.8× | 33 | 2.2k | ||
| Ohannes K. Melemedjian United States | 24 | 1.0k 0.9× | 631 1.0× | 703 1.6× | 175 0.5× | 201 0.6× | 35 | 2.0k | ||
| Lingli Liang China | 26 | 1.4k 1.1× | 772 1.2× | 841 1.9× | 187 0.5× | 239 0.7× | 57 | 2.2k | ||
| Gisela Segond von Banchet Germany | 24 | 1.3k 1.0× | 631 1.0× | 471 1.0× | 203 0.6× | 358 1.1× | 44 | 2.3k | ||
| Pradipta Ray United States | 22 | 921 0.8× | 607 1.0× | 644 1.4× | 197 0.6× | 136 0.4× | 37 | 1.8k | ||
| Annemarie Ledeboer United States | 17 | 1.4k 1.1× | 787 1.2× | 389 0.9× | 253 0.7× | 209 0.6× | 20 | 2.2k | ||
| Evan M. Sloane United States | 17 | 1.7k 1.4× | 1.0k 1.6× | 369 0.8× | 370 1.1× | 220 0.7× | 21 | 2.3k | ||
| Janneke G. J. Hoeijmakers Netherlands | 30 | 2.0k 1.7× | 1.2k 1.9× | 1.2k 2.7× | 1.2k 3.5× | 240 0.7× | 76 | 3.2k | ||
| Rochelle Wagner United States | 11 | 1.3k 1.0× | 687 1.1× | 189 0.4× | 408 1.2× | 315 1.0× | 12 | 1.7k |
Countries citing papers authored by Wahida Rahman
This map shows the geographic impact of Wahida 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 Wahida Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wahida Rahman more than expected).
Fields of papers citing papers by Wahida Rahman
This network shows the impact of papers produced by Wahida 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 Wahida Rahman. The network helps show where Wahida Rahman may publish in the future.
Co-authorship network of co-authors of Wahida Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Wahida Rahman. A scholar is included among the top collaborators of Wahida 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 Wahida Rahman. Wahida 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.