Champika Weeraman
About
In The Last Decade
Champika Weeraman
12 papers receiving 864 citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Champika Weeraman Canada | 10 | 631 | 234 | 151 | 145 | 139 | 13 | 878 | ||
| Marco Masia Italy | 21 | 866 1.4× | 272 1.2× | 181 1.2× | 245 1.7× | 163 1.2× | 50 | 1.4k | ||
| Tünde Megyes Hungary | 19 | 619 1.0× | 257 1.1× | 218 1.4× | 293 2.0× | 87 0.6× | 34 | 1.2k | ||
| Takakazu Seki Germany | 16 | 449 0.7× | 167 0.7× | 111 0.7× | 235 1.6× | 121 0.9× | 29 | 960 | ||
| Aritra Mandal United States | 13 | 700 1.1× | 317 1.4× | 189 1.3× | 261 1.8× | 79 0.6× | 19 | 1.0k | ||
| Kuo-Yang Chiang Germany | 13 | 408 0.6× | 154 0.7× | 103 0.7× | 175 1.2× | 78 0.6× | 23 | 806 | ||
| Martin Thämer Germany | 14 | 688 1.1× | 289 1.2× | 152 1.0× | 310 2.1× | 119 0.9× | 27 | 1.3k | ||
| Kailash C. Jena India | 21 | 799 1.3× | 301 1.3× | 243 1.6× | 219 1.5× | 190 1.4× | 44 | 1.2k | ||
| Yunliang Li China | 21 | 432 0.7× | 192 0.8× | 159 1.1× | 245 1.7× | 133 1.0× | 61 | 1.2k | ||
| Lawrence F. Scatena United States | 9 | 770 1.2× | 244 1.0× | 229 1.5× | 213 1.5× | 113 0.8× | 18 | 1.3k |
Countries citing papers authored by Champika Weeraman
This map shows the geographic impact of Champika Weeraman'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 Champika Weeraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Champika Weeraman more than expected).
Fields of papers citing papers by Champika Weeraman
This network shows the impact of papers produced by Champika Weeraman. 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 Champika Weeraman. The network helps show where Champika Weeraman may publish in the future.
Co-authorship network of co-authors of Champika Weeraman
This figure shows the co-authorship network connecting the top 25 collaborators of Champika Weeraman. A scholar is included among the top collaborators of Champika Weeraman 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 Champika Weeraman. Champika Weeraman 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.