Manjula Weerasekera
About
In The Last Decade
Manjula Weerasekera
80 papers receiving 940 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Manjula Weerasekera Sri Lanka | 18 | 208 | 205 | 165 | 135 | 113 | 84 | 956 | ||
| Chinthika Gunasekara Sri Lanka | 18 | 230 1.1× | 276 1.3× | 131 0.8× | 79 0.6× | 94 0.8× | 56 | 902 | ||
| Neluka Fernando Sri Lanka | 18 | 135 0.6× | 263 1.3× | 112 0.7× | 92 0.7× | 131 1.2× | 85 | 927 | ||
| Aamir Ghafoor Pakistan | 22 | 337 1.6× | 92 0.4× | 445 2.7× | 88 0.7× | 84 0.7× | 64 | 1.5k | ||
| Lúcio Roberto Cançado Castellano Brazil | 22 | 69 0.3× | 212 1.0× | 170 1.0× | 50 0.4× | 302 2.7× | 82 | 1.4k | ||
| Gabriela Bugla‐Płoskońska Poland | 19 | 452 2.2× | 160 0.8× | 372 2.3× | 51 0.4× | 135 1.2× | 76 | 1.8k | ||
| Mohamed A. El‐Mokhtar Egypt | 28 | 338 1.6× | 418 2.0× | 378 2.3× | 21 0.2× | 193 1.7× | 114 | 2.2k | ||
| Liyu Chen China | 16 | 274 1.3× | 124 0.6× | 307 1.9× | 21 0.2× | 195 1.7× | 67 | 1.1k | ||
| Ana Paula Dias Ribeiro Brazil | 26 | 91 0.4× | 143 0.7× | 202 1.2× | 379 2.8× | 58 0.5× | 95 | 2.0k | ||
| Mohamed E. Labib United States | 17 | 84 0.4× | 72 0.4× | 170 1.0× | 29 0.2× | 60 0.5× | 35 | 739 | ||
| R. Usha India | 24 | 93 0.4× | 90 0.4× | 316 1.9× | 45 0.3× | 41 0.4× | 104 | 1.7k |
Countries citing papers authored by Manjula Weerasekera
This map shows the geographic impact of Manjula Weerasekera'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 Manjula Weerasekera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manjula Weerasekera more than expected).
Fields of papers citing papers by Manjula Weerasekera
This network shows the impact of papers produced by Manjula Weerasekera. 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 Manjula Weerasekera. The network helps show where Manjula Weerasekera may publish in the future.
Co-authorship network of co-authors of Manjula Weerasekera
This figure shows the co-authorship network connecting the top 25 collaborators of Manjula Weerasekera. A scholar is included among the top collaborators of Manjula Weerasekera 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 Manjula Weerasekera. Manjula Weerasekera 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.