Payal Agarwal
About
In The Last Decade
Payal Agarwal
55 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Payal Agarwal Canada | 19 | 564 | 373 | 175 | 126 | 113 | 60 | 1.1k | ||
| Bethany M. Kwan United States | 18 | 631 1.1× | 246 0.7× | 114 0.7× | 185 1.5× | 93 0.8× | 84 | 1.4k | ||
| Geva Greenfield United Kingdom | 19 | 857 1.5× | 372 1.0× | 122 0.7× | 108 0.9× | 89 0.8× | 76 | 1.5k | ||
| Mark Merolli Australia | 18 | 625 1.1× | 353 0.9× | 197 1.1× | 83 0.7× | 52 0.5× | 68 | 1.4k | ||
| Amit Abraham Qatar | 16 | 398 0.7× | 485 1.3× | 79 0.5× | 246 2.0× | 103 0.9× | 31 | 1.3k | ||
| Kavita Radhakrishnan United States | 23 | 412 0.7× | 400 1.1× | 83 0.5× | 129 1.0× | 81 0.7× | 75 | 1.5k | ||
| Laura Pope Robbins United States | 21 | 348 0.6× | 261 0.7× | 103 0.6× | 80 0.6× | 55 0.5× | 81 | 1.7k | ||
| Philippa Seaton New Zealand | 12 | 565 1.0× | 238 0.6× | 126 0.7× | 89 0.7× | 98 0.9× | 23 | 1.2k | ||
| Freda Mold United Kingdom | 17 | 587 1.0× | 483 1.3× | 58 0.3× | 124 1.0× | 59 0.5× | 38 | 1.4k | ||
| Anne Granstrøm Ekeland Norway | 8 | 812 1.4× | 775 2.1× | 156 0.9× | 59 0.5× | 72 0.6× | 15 | 1.5k | ||
| Karice Hyun Australia | 21 | 460 0.8× | 312 0.8× | 83 0.5× | 74 0.6× | 97 0.9× | 109 | 1.7k |
Countries citing papers authored by Payal Agarwal
This map shows the geographic impact of Payal Agarwal'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 Payal Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal Agarwal more than expected).
Fields of papers citing papers by Payal Agarwal
This network shows the impact of papers produced by Payal Agarwal. 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 Payal Agarwal. The network helps show where Payal Agarwal may publish in the future.
Co-authorship network of co-authors of Payal Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Payal Agarwal. A scholar is included among the top collaborators of Payal Agarwal 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 Payal Agarwal. Payal Agarwal 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.