Supalert Nedsuwan
About
In The Last Decade
Supalert Nedsuwan
25 papers receiving 381 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Supalert Nedsuwan Thailand | 13 | 208 | 160 | 103 | 51 | 49 | 25 | 390 | ||
| Albert Dompreh Ghana | 12 | 201 1.0× | 105 0.7× | 31 0.3× | 48 0.9× | 31 0.6× | 35 | 367 | ||
| Jussara Marcondes-Machado Brazil | 12 | 187 0.9× | 228 1.4× | 54 0.5× | 42 0.8× | 25 0.5× | 22 | 371 | ||
| Marcel de Souza Borges Quintana Brazil | 9 | 265 1.3× | 195 1.2× | 213 2.1× | 41 0.8× | 18 0.4× | 27 | 469 | ||
| María Stella Mura Italy | 16 | 394 1.9× | 349 2.2× | 55 0.5× | 39 0.8× | 50 1.0× | 31 | 826 | ||
| Ricardo Tristão Sá Brazil | 9 | 224 1.1× | 130 0.8× | 93 0.9× | 61 1.2× | 30 0.6× | 12 | 346 | ||
| CC Onyenekwe Nigeria | 9 | 100 0.5× | 99 0.6× | 122 1.2× | 34 0.7× | 29 0.6× | 70 | 402 | ||
| Valai Bussaratid Thailand | 12 | 126 0.6× | 133 0.8× | 132 1.3× | 39 0.8× | 15 0.3× | 26 | 362 | ||
| Nouh Saad Mohamed Sudan | 14 | 191 0.9× | 48 0.3× | 220 2.1× | 59 1.2× | 32 0.7× | 53 | 464 | ||
| Vincent Guiyedi France | 11 | 168 0.8× | 64 0.4× | 291 2.8× | 57 1.1× | 56 1.1× | 21 | 580 | ||
| Christevy Vouvoungui Republic of the Congo | 12 | 163 0.8× | 64 0.4× | 111 1.1× | 45 0.9× | 23 0.5× | 29 | 311 |
Countries citing papers authored by Supalert Nedsuwan
This map shows the geographic impact of Supalert Nedsuwan'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 Supalert Nedsuwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supalert Nedsuwan more than expected).
Fields of papers citing papers by Supalert Nedsuwan
This network shows the impact of papers produced by Supalert Nedsuwan. 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 Supalert Nedsuwan. The network helps show where Supalert Nedsuwan may publish in the future.
Co-authorship network of co-authors of Supalert Nedsuwan
This figure shows the co-authorship network connecting the top 25 collaborators of Supalert Nedsuwan. A scholar is included among the top collaborators of Supalert Nedsuwan 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 Supalert Nedsuwan. Supalert Nedsuwan 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.