Aussara Panya
About
In The Last Decade
Aussara Panya
63 papers receiving 841 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Aussara Panya Thailand | 18 | 276 | 199 | 170 | 130 | 115 | 71 | 854 | ||
| Wesam H. Abdulaal Saudi Arabia | 22 | 494 1.8× | 134 0.7× | 50 0.3× | 151 1.2× | 135 1.2× | 64 | 1.2k | ||
| K. M. Kaderi Kibria Bangladesh | 12 | 365 1.3× | 232 1.2× | 69 0.4× | 102 0.8× | 88 0.8× | 27 | 865 | ||
| Sarah D’Alessandro Italy | 19 | 246 0.9× | 111 0.6× | 433 2.5× | 107 0.8× | 142 1.2× | 61 | 1.1k | ||
| Maria Mamani‐Matsuda France | 16 | 269 1.0× | 124 0.6× | 213 1.3× | 438 3.4× | 131 1.1× | 23 | 1.2k | ||
| Cássio Santana Meira Brazil | 25 | 437 1.6× | 118 0.6× | 288 1.7× | 146 1.1× | 21 0.2× | 72 | 1.3k | ||
| Godavarthi B.K.S. Prasad India | 19 | 325 1.2× | 108 0.5× | 87 0.5× | 117 0.9× | 116 1.0× | 35 | 789 | ||
| Syed Aun Muhammad Pakistan | 17 | 547 2.0× | 60 0.3× | 42 0.2× | 168 1.3× | 119 1.0× | 98 | 1.2k | ||
| Rosella Cicconi Italy | 18 | 288 1.0× | 77 0.4× | 36 0.2× | 179 1.4× | 67 0.6× | 34 | 800 | ||
| Rose Hayeshi South Africa | 16 | 269 1.0× | 223 1.1× | 60 0.4× | 35 0.3× | 80 0.7× | 31 | 892 | ||
| Shih‐Shun Chen Taiwan | 16 | 446 1.6× | 106 0.5× | 135 0.8× | 192 1.5× | 123 1.1× | 34 | 987 |
Countries citing papers authored by Aussara Panya
This map shows the geographic impact of Aussara Panya'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 Aussara Panya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aussara Panya more than expected).
Fields of papers citing papers by Aussara Panya
This network shows the impact of papers produced by Aussara Panya. 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 Aussara Panya. The network helps show where Aussara Panya may publish in the future.
Co-authorship network of co-authors of Aussara Panya
This figure shows the co-authorship network connecting the top 25 collaborators of Aussara Panya. A scholar is included among the top collaborators of Aussara Panya 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 Aussara Panya. Aussara Panya 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.