Manori Amarasekera
About
In The Last Decade
Manori Amarasekera
11 papers receiving 342 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Manori Amarasekera Australia | 9 | 113 | 94 | 77 | 67 | 59 | 11 | 352 | ||
| Hardis Rabe Sweden | 12 | 107 0.9× | 65 0.7× | 24 0.3× | 28 0.4× | 168 2.8× | 33 | 405 | ||
| Taiji Nakano Japan | 12 | 82 0.7× | 110 1.2× | 12 0.2× | 85 1.3× | 34 0.6× | 33 | 349 | ||
| Michelle A. E. Jansen Netherlands | 12 | 149 1.3× | 47 0.5× | 37 0.5× | 12 0.2× | 86 1.5× | 16 | 457 | ||
| Erdal Taşkın Türkiye | 11 | 28 0.2× | 55 0.6× | 37 0.5× | 35 0.5× | 29 0.5× | 39 | 514 | ||
| Polyxeni Ntontsi Greece | 10 | 93 0.8× | 251 2.7× | 26 0.3× | 46 0.7× | 145 2.5× | 15 | 441 | ||
| Raheleh Shokouhi Shoormasti Iran | 13 | 85 0.8× | 178 1.9× | 11 0.1× | 159 2.4× | 37 0.6× | 54 | 475 | ||
| Akila Rekima France | 10 | 84 0.7× | 145 1.5× | 10 0.1× | 178 2.7× | 81 1.4× | 14 | 412 | ||
| Anna Lluis Germany | 8 | 68 0.6× | 204 2.2× | 15 0.2× | 55 0.8× | 200 3.4× | 8 | 372 | ||
| Dijana Miljkovic Australia | 12 | 44 0.4× | 210 2.2× | 44 0.6× | 137 2.0× | 105 1.8× | 14 | 428 | ||
| Yilin Song China | 11 | 97 0.9× | 47 0.5× | 25 0.3× | 38 0.6× | 18 0.3× | 25 | 341 |
Countries citing papers authored by Manori Amarasekera
This map shows the geographic impact of Manori Amarasekera'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 Manori Amarasekera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manori Amarasekera more than expected).
Fields of papers citing papers by Manori Amarasekera
This network shows the impact of papers produced by Manori Amarasekera. 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 Manori Amarasekera. The network helps show where Manori Amarasekera may publish in the future.
Co-authorship network of co-authors of Manori Amarasekera
This figure shows the co-authorship network connecting the top 25 collaborators of Manori Amarasekera. A scholar is included among the top collaborators of Manori Amarasekera 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 Manori Amarasekera. Manori Amarasekera 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.